RasterProjection_unavco.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Raster Data and Projections"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this tutorial, we will walk through examples of reprojecting raster datasets and working with coordinate transformations with GDAL. We will focus on these common operations \n",
    "\n",
    "1. Converting coordinates from one projection system to another\n",
    "2. Reprojecting geocoded rasters \n",
    "3. Reprojecting swath data\n",
    "   - Using GCPs\n",
    "   - Using geolocation arrays\n",
    "\n",
    "We assume that you have already completed the tutorial on raster data manipulation and are familiar with raster data representation in GDAL."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's begin"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some imports and utility functions that we will use throughout the notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "###The usual python imports for the notebook\n",
    "%matplotlib notebook\n",
    "from osgeo import gdal, ogr, osr\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "gdal.UseExceptions()\n",
    "\n",
    "#Utility function to load data\n",
    "def loadData(infile, band=1):\n",
    "    ds = gdal.Open(infile, gdal.GA_ReadOnly)\n",
    "    #Data array\n",
    "    data = ds.GetRasterBand(band).ReadAsArray()\n",
    "    #Map extent\n",
    "    trans = ds.GetGeoTransform()\n",
    "    xsize = ds.RasterXSize\n",
    "    ysize = ds.RasterYSize\n",
    "    extent = [trans[0], trans[0] + xsize * trans[1],\n",
    "            trans[3] + ysize*trans[5], trans[3]]\n",
    "    \n",
    "    ds = None\n",
    "    return data, extent\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And let's also download some SRTM data from southern California"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Grab some SRTM data using the OpenTopography API\n",
    "!curl -X GET \"https://portal.opentopography.org/API/globaldem?demtype=SRTMGL1&south=34&north=35&west=-120&east=-119&outputFormat=GTiff\" -H \"accept: */*\" --output N34W120.tif"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## gdalwarp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will be using the **gdalwarp** utility either as an executable or programatically for accomplishing all the above listed data manipulation operations in this tutorial. For list of options supported by **gdalwarp**, see  \n",
    "\n",
    "http://www.gdal.org/gdalwarp.html\n",
    "\n",
    "```bash\n",
    "gdalwarp [--help-general] [--formats]\n",
    "    [-s_srs srs_def] [-t_srs srs_def] [-to \"NAME=VALUE\"]* [-novshiftgrid]\n",
    "    [-order n | -tps | -rpc | -geoloc] [-et err_threshold]\n",
    "    [-refine_gcps tolerance [minimum_gcps]]\n",
    "    [-te xmin ymin xmax ymax] [-te_srs srs_def]\n",
    "    [-tr xres yres] [-tap] [-ts width height]\n",
    "    [-ovr level|AUTO|AUTO-n|NONE] [-wo \"NAME=VALUE\"] [-ot Byte/Int16/...] [-wt Byte/Int16]\n",
    "    [-srcnodata \"value [value...]\"] [-dstnodata \"value [value...]\"]\n",
    "    [-srcalpha|-nosrcalpha] [-dstalpha]\n",
    "    [-r resampling_method] [-wm memory_in_mb] [-multi] [-q]\n",
    "    [-cutline datasource] [-cl layer] [-cwhere expression]\n",
    "    [-csql statement] [-cblend dist_in_pixels] [-crop_to_cutline]\n",
    "    [-of format] [-co \"NAME=VALUE\"]* [-overwrite]\n",
    "    [-nomd] [-cvmd meta_conflict_value] [-setci] [-oo NAME=VALUE]*\n",
    "    [-doo NAME=VALUE]*\n",
    "    srcfile* dstfile\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Coordinate conversion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "GDAL's coordinate conversion engine is built on top of the PROJ.4 library (https://proj4.org/). We will walk through some examples of converting coordinates from one system to another. To keep things simple, we will use EPSG codes (http://www.epsg.org/) and PROJ.4 representations for commonly used coordinate systems. A table of commonly used systems on the WGS84 are shown below."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<table>\n",
    "    <thead>\n",
    "        <tr>\n",
    "            <td>EPSG code</td><td>PROJ.4 string</td><td>Common name</td>\n",
    "        </tr>\n",
    "    </thead>\n",
    "    <tr>\n",
    "        <td>4326</td><td>+proj=longlat +datum=WGS84 +no_defs</td><td>WGS84 Lon/Lat</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td>3031</td><td>+proj=stere +lat_0=-90 +lat_ts=-71 +lon_0=0 +k=1</td><td>Antarctic Polar Stereographic</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td>3413</td><td>+proj=stere +lat_0=90 +lat_ts=70 +lon_0=-45 +k=1 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs</td><td>NSIDC Polar Stereographic North</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td>32600+X</td><td>+proj=utm +zone=X +datum=WGS84 +units=m +no_defs</td><td>Standard UTM zone North</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td>32700+X</td><td>+proj=utm +zone=X +south +datum=WGS84 +units=m +no_defs</td><td>Standard UTM zone South</td>\n",
    "    </tr>\n",
    "</table>        "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will use the **gdaltransform** utility to convert coordinates on the command line (https://www.gdal.org/gdaltransform.html). We will also demonstrate the programmatic way of converting coordinates using GDAL's python bindings."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### a. Horizontal transformations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most common map transformations change the horizontal datum, i.e, the height axis is usually always considered to be normal to the Ellipsoid. This is the case with transformations between the systems listed above. \n",
    "\n",
    "Lets demonstrate this with the example of Polar Stereographic North (EPSG:3413) system, whose origin is at 90N, 45W and is often used for datasets over Greenland."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#From lon/lat to polar\n",
    "!echo \"-45.0 90.0\" | gdaltransform -s_srs EPSG:4326 -t_srs EPSG:3413"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#from polar to lon/lat\n",
    "!echo \"0 0\" | gdaltransform -s_srs EPSG:3413 -t_srs EPSG:4326"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "##Programmatic method of coordinate transformation\n",
    "##We will use EPSG/PROJ.4. You can also use ImportFromProj or ImportFromWKT\n",
    "def getTransformers(inproj, outproj, epsg=True):\n",
    "    '''\n",
    "    inproj - Projection system 1\n",
    "    outproj - Projection system 2\n",
    "    '''\n",
    "    \n",
    "    proj1 = osr.SpatialReference()\n",
    "    if epsg:\n",
    "        proj1.ImportFromEPSG(int(inproj))\n",
    "    else:\n",
    "        proj1.ImportFromProj4(str(inproj))\n",
    "    \n",
    "    proj2 = osr.SpatialReference()\n",
    "    if epsg:\n",
    "        proj2.ImportFromEPSG(int(outproj))\n",
    "    else:\n",
    "        proj2.ImportFromProj4(str(outproj))\n",
    "    \n",
    "    fwd = osr.CoordinateTransformation(proj1, proj2)\n",
    "    inv = osr.CoordinateTransformation(proj2, proj1)\n",
    "    return fwd, inv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "###Create transformer for Antarctic Polar Stereographic\n",
    "fwdtrans, invtrans = getTransformers(4326, 3031)\n",
    "print('Forward: ', fwdtrans.TransformPoint(0., -90., 450.))\n",
    "print('Inverse: ', invtrans.TransformPoint(0., 0., -233.))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also verify transformations against online calculators. For example, use this:\n",
    "http://www.rcn.montana.edu/resources/converter.aspx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "lon, lat = -118.0, 35.0       ##Example point in CA\n",
    "xx, yy = 408746.7, 3873499.9  ##Coordinate from calculator above\n",
    "\n",
    "fwd, inv = getTransformers(4326, 32611)\n",
    "print('Forward: ', fwd.TransformPoint(lon,lat), [xx,yy])\n",
    "print('Inverse: ', inv.TransformPoint(xx, yy), [lon, lat])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### b. Horizontal + vertical datum transformation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Coordinate system transformation also supports some vertical datums (same as PROJ.4 vgrid). \n",
    "\n",
    "We will demonstrate this with the EGM96 grid. Remember that SRTM DEM is referenced to EGM96 geoid. This implies that zero height at the coast, does not necessarily mean zero ellipsoid height. For radar processing, we use all heights w.r.t to an Ellipsoid (for efficient computing).\n",
    "\n",
    "Some standard vertical datums also have their own EPSG codes. Shown below is the table for the 2 most commonly used geoids\n",
    "\n",
    "| EPSG code | Name of Geoid |  URL  | \n",
    "|-----------|---------------|-------|\n",
    "| 5773      | EGM 96|https://en.wikipedia.org/wiki/EGM96 |\n",
    "| 3885      | EGM 08|http://earth-info.nga.mil/GandG/wgs84/gravitymod/egm2008/egm08_wgs84.html |\n",
    "\n",
    "\n",
    "GDAL provides a short hand for representing geoid information with the EPSG code - EPSG:4326 + 5773 represents lon/lat horizontal datum and EGM96 vertical datum. We will quickly perform some transformations with this representation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Check PROJ.4 representation\n",
    "!gdalsrsinfo EPSG:4326+5773"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A point on the CA coast that reads zero height in SRTM data\n",
    "!echo \"-118.506 34.015\" | gdaltransform -s_srs EPSG:4326+5773 -t_srs EPSG:4326"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that for all radar processing, we use Ellipsoid heights. So for the point of interest above, we would use a DEM height of -36m for processing. \n",
    "\n",
    "We can now **gdalwarp** to quickly transform geoid heights to Ellipsoid heights and visualize the difference."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Note that this only works for a single band image.\n",
    "#For multi-band images, vertical datum is ignored.\n",
    "!gdalwarp -of GTiff N34W120.tif -overwrite -srcnodata None -s_srs EPSG:4326+5773 -t_srs EPSG:4326 N34W120_wgs84.tif "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "gDEM, ext = loadData('N34W120.tif')\n",
    "eDEM, ext = loadData('N34W120_wgs84.tif')\n",
    "plt.figure(figsize=(9,5))\n",
    "plt.subplot(1,2,1)\n",
    "plt.imshow(gDEM, extent=ext)\n",
    "plt.colorbar()\n",
    "plt.title('SRTM DEM')\n",
    "plt.subplot(1,2,2)\n",
    "plt.imshow(gDEM-eDEM, extent=ext)\n",
    "plt.colorbar()\n",
    "plt.title('EGM96')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Reprojecting geocoded rasters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are numerous use cases where geocoded data needs to be reprojected. Some examples are listed below:\n",
    "\n",
    "1. A region of interest is too large for analysis with a single UTM zone (e.g, Landsat data). To create a large mosaic, reprojection is unavoidable.\n",
    "\n",
    "2. Putting together DEMs from different sources. SRTM only spans the latitudes from 60N to 60S. For Arctic regions, DEMs are typically distributed in Polar Stereographic coordinates. For processing, a single DEM would need to be built by projecting DEMs to a common system.\n",
    "\n",
    "3. Certain projections are more conducive for comparison against field datasets - e.g UTM zones where pixel dimensions can be directly related to area on ground.\n",
    "\n",
    "4. Combining data from different sources. For example, SRTM dataset is distributed in lat/lon coordinates whereas Landsat and Sentinel-2 is distributed in UTM/ Polar Stereographic coordinates.\n",
    "\n",
    "In this section, we will use **gdalwarp** to reproject data from one coordinate system to another. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### a. Simple reprojection"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The key flags for **gdalwarp** for reprojection are \n",
    "\n",
    "1. \"-t_srs\" option to indicate the output projection system \n",
    "2. \"-r\" option for the resampling algorithm\n",
    "3. \"-te\" option for the spatial extent of the output grid\n",
    "4. \"-tr\" option for controlling the spacing of the output grid (or) \"-ts\" option for output size"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To start, let's reproject the Greenland DEM to default output extent and spacing that is automatically determined for WGS84 lat/lon coordinates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!gdalwarp -t_srs EPSG:4326 NETCDF:\"Greenland1km.nc\":topg -srcnodata None -dstnodata None -overwrite Greenland_ll_default.tif"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pdem, pext = loadData('NETCDF:\"Greenland1km.nc\":topg')\n",
    "ldem, lext = loadData('Greenland_ll_default.tif')\n",
    "\n",
    "plt.figure(figsize=(9,5))\n",
    "plt.subplot(1,2,1)\n",
    "plt.imshow(pdem, extent=pext)\n",
    "plt.subplot(1,2,2)\n",
    "plt.imshow(ldem, extent=lext)\n",
    "plt.show()\n",
    "print('Original DEM size: ', pdem.shape)\n",
    "print('Resampled DEM size: ', ldem.shape)\n",
    "pdem = None\n",
    "ldem = None"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### b. Resample with specific output spacing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remember from the earlier exercise that the Greenland DEM was sampled at a spacing of about 1km. We can use a similar number for resampling. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!gdalwarp -t_srs EPSG:4326 -tr 0.06 0.01 -overwrite NETCDF:\"Greenland1km.nc\":topg -srcnodata None -dstnodata None Greenland_ll_similar.tif"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pdem, pext = loadData('NETCDF:\"Greenland1km.nc\":topg')\n",
    "ldem, lext = loadData('Greenland_ll_similar.tif')\n",
    "\n",
    "plt.figure(figsize=(9,5))\n",
    "plt.subplot(1,2,1)\n",
    "plt.imshow(pdem, extent=pext)\n",
    "plt.subplot(1,2,2)\n",
    "plt.imshow(ldem, extent=lext)\n",
    "plt.show()\n",
    "print('Original DEM size: ', pdem.shape)\n",
    "print('Resampled DEM size: ', ldem.shape)\n",
    "pdem = None\n",
    "ldem = None"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### c. Resampling to a predefined grid"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a very useful feature to automatically output data to a grid that is self-consistent. Such grids typically are laid out in a manner where the starting coordinates are a multiple of pixel spacing. This is accomplished via the \"-tap\" option and most useful for efficient operations.\n",
    "\n",
    "Let's reproject subsets of a DEM to same coordinate system with and without \"-tap\" option and compare the output grids."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "##Lets subset without the -tap option\n",
    "!gdalwarp -of VRT -t_srs EPSG:32611 -te -119.8 34.3 -119.6 34.5 -te_srs EPSG:4326 -tr 100 100 N34W120.tif subset1.vrt\n",
    "!gdalwarp -of VRT -t_srs EPSG:32611 -te -119.9 34.2 -119.7 34.4 -te_srs EPSG:4326 -tr 100 100 N34W120.tif subset2.vrt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!gdalinfo subset1.vrt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!gdalinfo subset2.vrt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the outputs are not aligned, i.e the top-left corners do not vary by a multiple of pixel spacing. Now, lets try with the \"-tap\" option."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "##Lets subset with the -tap option\n",
    "!gdalwarp -of VRT -t_srs EPSG:32611 -te -119.8 34.3 -119.6 34.5 -te_srs EPSG:4326 -tr 100 100 -tap N34W120.tif subset3.vrt\n",
    "!gdalwarp -of VRT -t_srs EPSG:32611 -te -119.9 34.2 -119.7 34.4 -te_srs EPSG:4326 -tr 100 100 -tap N34W120.tif subset4.vrt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!gdalinfo subset3.vrt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!gdalinfo subset4.vrt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the top-left pixels now differ exactly by a multiple of the pixel spacing. These subsets can be easily overlaid on top of each other for analysis / comparison without additional processing."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Reproject swath data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the ISCE processing examples, you must have noticed that SAR imagery is not distributed on grids that is aligned North-South, West-East. The imaging grid is aligned to the track of the satellite or aircraft and these may not be perfectly North-South. GDAL provides two options for geocoding this type of dataset\n",
    "\n",
    "1. Ground Control Points (GCPs)\n",
    "2. Geolocation arrays"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### a. Geocoding using GCPs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the introductory tutorial on raster data, we have already seen that some data formats include support for GCPs. These represent a mapping between line/pixel and map coordinates. Over very flat terrain or over ocean / sea ice - this information is more than sufficient to geocode data reasonably accurately (think why???). We just outline the procedure in this tutorial due to time constraints. Users are encouraged to try this on their own."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```bash\n",
    "> gdalinfo /vsizip/S1A_IW_GRDH_1SDV_20170127T001111_20170127T001136_015010_01884A_9043.zip/S1A_IW_GRDH_1SDV_20170127T001111_20170127T001136_015010_01884A_9043.SAFE/measurement/s1a-iw-grd-vv-20170127t001111-20170127t001136-015010-01884a-001.tiff\n",
    "\n",
    "Driver: GTiff/GeoTIFF\n",
    "Files: /vsizip/S1A_IW_GRDH_1SDV_20170127T001111_20170127T001136_015010_01884A_9043.zip/S1A_IW_GRDH_1SDV_20170127T001111_20170127T001136_015010_01884A_9043.SAFE/measurement/s1a-iw-grd-vv-20170127t001111-20170127t001136-015010-01884a-001.tiff\n",
    "Size is 25505, 16729\n",
    "Coordinate System is `'\n",
    "GCP Projection =\n",
    "GEOGCS[\"WGS 84\",\n",
    "    DATUM[\"WGS_1984\",\n",
    "        SPHEROID[\"unnamed\",6378137,298.2572235604902,\n",
    "            AUTHORITY[\"EPSG\",\"4326\"]],\n",
    "        AUTHORITY[\"EPSG\",\"6326\"]],\n",
    "    PRIMEM[\"Greenwich\",0],\n",
    "    UNIT[\"degree\",0.0174532925199433],\n",
    "    AUTHORITY[\"EPSG\",\"4326\"]]\n",
    "GCP[  0]: Id=1, Info=\n",
    "          (0,0) -> (-94.005922908642,33.2767568872629,82.4891335545108)\n",
    "GCP[  1]: Id=2, Info=\n",
    "          (1276,0) -> (-93.8713725178248,33.298342788709,82.4890268715099)\n",
    "GCP[  2]: Id=3, Info=\n",
    "          (2552,0) -> (-93.736756133881,33.3197832475533,82.4889215333387)\n",
    "GCP[  3]: Id=4, Info=\n",
    "          (3828,0) -> (-93.6020741174325,33.3410780749001,82.4888174766675)\n",
    "GCP[  4]: Id=5, Info=\n",
    "          (5104,0) -> (-93.4673268317664,33.3622270828064,82.4887146400288)\n",
    "GCP[  5]: Id=6, Info=\n",
    "          (6380,0) -> (-93.3325146423635,33.3832300843644,82.4886129721999)\n",
    "GCP[  6]: Id=7, Info=\n",
    "          (7656,0) -> (-93.1976379167661,33.404086893728,82.4885124303401)\n",
    "GCP[  7]: Id=8, Info=\n",
    "          (8932,0) -> (-93.0626970245939,33.4247973261167,82.488412976265)\n",
    "GCP[  8]: Id=9, Info=\n",
    "          (10208,0) -> (-92.9276923375967,33.4453611978123,82.4883145680651)\n",
    "GCP[  9]: Id=10, Info=\n",
    "          (11484,0) -> (-92.7926242296921,33.4657783261598,82.4882171778008)\n",
    "GCP[ 10]: Id=11, Info=\n",
    "          (12760,0) -> (-92.6574930769715,33.4860485295715,82.4881207821891)\n",
    "GCP[ 11]: Id=12, Info=\n",
    "          (14036,0) -> (-92.5222992576794,33.5061716275367,82.4880253477022)\n",
    "GCP[ 12]: Id=13, Info=\n",
    "          (15312,0) -> (-92.387043152181,33.5261474406317,82.4879308547825)\n",
    "GCP[ 13]: Id=14, Info=\n",
    "          (16588,0) -> (-92.2517251429341,33.5459757905291,82.4878372829407)\n",
    "GCP[ 14]: Id=15, Info=\n",
    "          (17864,0) -> (-92.1163456144782,33.5656565000047,82.487744611688)\n",
    "GCP[ 15]: Id=16, Info=\n",
    "          (19140,0) -> (-91.9809049534456,33.5851893929409,82.4876528279856)\n",
    "GCP[ 16]: Id=17, Info=\n",
    "          (20416,0) -> (-91.845403548587,33.6045742943281,82.4875619197264)\n",
    "GCP[ 17]: Id=18, Info=\n",
    "          (21692,0) -> (-91.7098417907929,33.6238110302665,82.4874718654901)\n",
    "GCP[ 18]: Id=19, Info=\n",
    "          (22968,0) -> (-91.5742200730755,33.6428994279739,82.4873826541007)\n",
    "GCP[ 19]: Id=20, Info=\n",
    "          (24244,0) -> (-91.4385387904629,33.6618393158058,82.4872942790389)\n",
    "GCP[ 20]: Id=21, Info=\n",
    "          (25504,0) -> (-91.3045007790343,33.6803958180407,82.487207817845)\n",
    "GCP[ 21]: Id=22, Info=\n",
    "          (0,2008) -> (-94.047689959274,33.4574743168206,86.8307519014925)\n",
    "GCP[ 22]: Id=23, Info=\n",
    "          (1276,2008) -> (-93.9128610831397,33.4790567161726,86.8306398028508)\n",
    "GCP[ 23]: Id=24, Info=\n",
    "          (2552,2008) -> (-93.7779655913483,33.500492683175,86.8305291002616)\n",
    "GCP[ 24]: Id=25, Info=\n",
    "          (3828,2008) -> (-93.6430038546116,33.5217820267718,86.8304197173566)\n",
    "GCP[ 25]: Id=26, Info=\n",
    "          (5104,2008) -> (-93.507976245905,33.5429245569615,86.8303116057068)\n",
    "GCP[ 26]: Id=27, Info=\n",
    "          (6380,2008) -> (-93.3728831400487,33.563920084869,86.8302047140896)\n",
    "GCP[ 27]: Id=28, Info=\n",
    "          (7656,2008) -> (-93.2377249136249,33.5847684227625,86.8300989894196)\n",
    "GCP[ 28]: Id=29, Info=\n",
    "          (8932,2008) -> (-93.1025019450354,33.6054693840483,86.8299943935126)\n",
    "GCP[ 29]: Id=30, Info=\n",
    "          (10208,2008) -> (-92.9672146145922,33.6260227832614,86.8298908965662)\n",
    "GCP[ 30]: Id=31, Info=\n",
    "          (11484,2008) -> (-92.8318633045886,33.6464284360586,86.8297884585336)\n",
    "GCP[ 31]: Id=32, Info=\n",
    "          (12760,2008) -> (-92.696448399334,33.6666861592187,86.8296870533377)\n",
    "GCP[ 32]: Id=33, Info=\n",
    "          (14036,2008) -> (-92.5609702851583,33.686795770646,86.8295866586268)\n",
    "GCP[ 33]: Id=34, Info=\n",
    "          (15312,2008) -> (-92.4254293504009,33.7067570893768,86.8294872529805)\n",
    "GCP[ 34]: Id=35, Info=\n",
    "          (16588,2008) -> (-92.2898259854009,33.7265699355856,86.8293888093904)\n",
    "GCP[ 35]: Id=36, Info=\n",
    "          (17864,2008) -> (-92.1541605825019,33.7462341305888,86.8292913101614)\n",
    "GCP[ 36]: Id=37, Info=\n",
    "          (19140,2008) -> (-92.0184335360754,33.7657494968454,86.8291947441176)\n",
    "GCP[ 37]: Id=38, Info=\n",
    "          (20416,2008) -> (-91.8826452425569,33.7851158579568,86.8290990917012)\n",
    "GCP[ 38]: Id=39, Info=\n",
    "          (21692,2008) -> (-91.7467961004747,33.8043330386673,86.8290043342859)\n",
    "GCP[ 39]: Id=40, Info=\n",
    "          (22968,2008) -> (-91.6108865104378,33.8234008648703,86.8289104709402)\n",
    "GCP[ 40]: Id=41, Info=\n",
    "          (24244,2008) -> (-91.474916875033,33.8423191636278,86.8288174821064)\n",
    "GCP[ 41]: Id=42, Info=\n",
    "          (25504,2008) -> (-91.3405936623981,33.8608533477523,86.8287265086547)\n",
    "GCP[ 42]: Id=43, Info=\n",
    "          (0,4016) -> (-94.0896851063414,33.6381587216162,83.1414270717651)\n",
    "GCP[ 43]: Id=44, Info=\n",
    "          (1276,4016) -> (-93.9545737968323,33.6597382189906,83.1413188902661)\n",
    "GCP[ 44]: Id=45, Info=\n",
    "          (2552,4016) -> (-93.8193953343885,33.6811702724005,83.1412120880559)\n",
    "GCP[ 45]: Id=46, Info=\n",
    "          (3828,4016) -> (-93.6841500913544,33.7024546902725,83.1411065980792)\n",
    "GCP[ 46]: Id=47, Info=\n",
    "          (5104,4016) -> (-93.5488384429507,33.7235912819923,83.1410023635253)\n",
    "GCP[ 47]: Id=48, Info=\n",
    "          (6380,4016) -> (-93.4134607667759,33.7445798579914,83.1408993322402)\n",
    "GCP[ 48]: Id=49, Info=\n",
    "          (7656,4016) -> (-93.2780174426532,33.7654202297782,83.1407974530011)\n",
    "GCP[ 49]: Id=50, Info=\n",
    "          (8932,4016) -> (-93.1425088526288,33.7861122099448,83.1406966922805)\n",
    "GCP[ 50]: Id=51, Info=\n",
    "          (10208,4016) -> (-93.0069353810106,33.8066556121666,83.1405970100313)\n",
    "GCP[ 51]: Id=52, Info=\n",
    "          (11484,4016) -> (-92.8712974143956,33.827050251205,83.1404983736575)\n",
    "GCP[ 52]: Id=53, Info=\n",
    "          (12760,4016) -> (-92.7355953416676,33.847295942914,83.1404007524252)\n",
    "GCP[ 53]: Id=54, Info=\n",
    "          (14036,4016) -> (-92.5998295539722,33.86739250425,83.1403041221201)\n",
    "GCP[ 54]: Id=55, Info=\n",
    "          (15312,4016) -> (-92.4640004446803,33.8873397532833,83.1402084585279)\n",
    "GCP[ 55]: Id=56, Info=\n",
    "          (16588,4016) -> (-92.3281084093585,33.9071375092078,83.1401137458161)\n",
    "GCP[ 56]: Id=57, Info=\n",
    "          (17864,4016) -> (-92.1921538457568,33.9267855923485,83.1400199588388)\n",
    "GCP[ 57]: Id=58, Info=\n",
    "          (19140,4016) -> (-92.0561371538186,33.9462838241655,83.139927085489)\n",
    "GCP[ 58]: Id=59, Info=\n",
    "          (20416,4016) -> (-91.9200587357033,33.9656320272558,83.139835103415)\n",
    "GCP[ 59]: Id=60, Info=\n",
    "          (21692,4016) -> (-91.7839189958028,33.9848300253565,83.1397440042347)\n",
    "GCP[ 60]: Id=61, Info=\n",
    "          (22968,4016) -> (-91.6477183407148,34.0038776433544,83.1396537711844)\n",
    "GCP[ 61]: Id=62, Info=\n",
    "          (24244,4016) -> (-91.5114571791219,34.0227747073074,83.1395643977448)\n",
    "GCP[ 62]: Id=63, Info=\n",
    "          (25504,4016) -> (-91.3768456493388,34.0412869145492,83.1394769735634)\n",
    "GCP[ 63]: Id=64, Info=\n",
    "          (0,6024) -> (-94.1314913043126,33.8188767279123,94.8706692503765)\n",
    "GCP[ 64]: Id=65, Info=\n",
    "          (1276,6024) -> (-93.9960966137392,33.8404529544535,94.8705469993874)\n",
    "GCP[ 65]: Id=66, Info=\n",
    "          (2552,6024) -> (-93.8606341419723,33.8618807384932,94.8704262357205)\n",
    "GCP[ 66]: Id=67, Info=\n",
    "          (3828,6024) -> (-93.7251042712821,33.8831598863366,94.8703068885952)\n",
    "GCP[ 67]: Id=68, Info=\n",
    "          (5104,6024) -> (-93.5895073864032,33.9042902053498,94.8701889030635)\n",
    "GCP[ 68]: Id=69, Info=\n",
    "          (6380,6024) -> (-93.4538438741112,33.9252715040336,94.8700722213835)\n",
    "GCP[ 69]: Id=70, Info=\n",
    "          (7656,6024) -> (-93.3181141231331,33.9461035920414,94.8699568007141)\n",
    "GCP[ 70]: Id=71, Info=\n",
    "          (8932,6024) -> (-93.1823185241957,33.9667862801773,94.8698425991461)\n",
    "GCP[ 71]: Id=72, Info=\n",
    "          (10208,6024) -> (-93.0464574701047,33.9873193803885,94.8697295757011)\n",
    "GCP[ 72]: Id=73, Info=\n",
    "          (11484,6024) -> (-92.9105313558033,34.0077027057613,94.8696177061647)\n",
    "GCP[ 73]: Id=74, Info=\n",
    "          (12760,6024) -> (-92.7745405783956,34.0279360705236,94.8695069514215)\n",
    "GCP[ 74]: Id=75, Info=\n",
    "          (14036,6024) -> (-92.638485537139,34.0480192900511,94.8693972947076)\n",
    "GCP[ 75]: Id=76, Info=\n",
    "          (15312,6024) -> (-92.5023666334231,34.0679521808751,94.869288709946)\n",
    "GCP[ 76]: Id=77, Info=\n",
    "          (16588,6024) -> (-92.3661842707519,34.0877345606912,94.8691811719909)\n",
    "GCP[ 77]: Id=78, Info=\n",
    "          (17864,6024) -> (-92.2299388547413,34.1073662483635,94.8690746631473)\n",
    "GCP[ 78]: Id=79, Info=\n",
    "          (19140,6024) -> (-92.093630793139,34.1268470639269,94.8689691703767)\n",
    "GCP[ 79]: Id=80, Info=\n",
    "          (20416,6024) -> (-91.9572604958582,34.1461768285875,94.8688646741211)\n",
    "GCP[ 80]: Id=81, Info=\n",
    "          (21692,6024) -> (-91.8208283750074,34.1653553647229,94.8687611622736)\n",
    "GCP[ 81]: Id=82, Info=\n",
    "          (22968,6024) -> (-91.6843348448802,34.1843824958893,94.8686586217955)\n",
    "GCP[ 82]: Id=83, Info=\n",
    "          (24244,6024) -> (-91.5477803218575,34.2032580468394,94.8685570405796)\n",
    "GCP[ 83]: Id=84, Info=\n",
    "          (25504,6024) -> (-91.4128786394285,34.2217480026286,94.868457662873)\n",
    "GCP[ 84]: Id=85, Info=\n",
    "          (0,8032) -> (-94.1726812320393,33.9996951265157,145.826850661077)\n",
    "GCP[ 85]: Id=86, Info=\n",
    "          (1276,8032) -> (-94.037000633364,34.0212674230856,145.826668350957)\n",
    "GCP[ 86]: Id=87, Info=\n",
    "          (2552,8032) -> (-93.9012516560656,34.0426902688802,145.826487941667)\n",
    "GCP[ 87]: Id=88, Info=\n",
    "          (3828,8032) -> (-93.7654346892336,34.0639634686949,145.826309361495)\n",
    "GCP[ 88]: Id=89, Info=\n",
    "          (5104,8032) -> (-93.6295501244325,34.0850868284084,145.826132549904)\n",
    "GCP[ 89]: Id=90, Info=\n",
    "          (6380,8032) -> (-93.4935983552818,34.1060601550547,145.825957460329)\n",
    "GCP[ 90]: Id=91, Info=\n",
    "          (7656,8032) -> (-93.3575797773681,34.126883256842,145.825784043409)\n",
    "GCP[ 91]: Id=92, Info=\n",
    "          (8932,8032) -> (-93.2214947882966,34.1475559431492,145.825612259097)\n",
    "GCP[ 92]: Id=93, Info=\n",
    "          (10208,8032) -> (-93.0853437877728,34.1680780245185,145.825442066416)\n",
    "GCP[ 93]: Id=94, Info=\n",
    "          (11484,8032) -> (-92.9491271776626,34.188449312651,145.825273439288)\n",
    "GCP[ 94]: Id=95, Info=\n",
    "          (12760,8032) -> (-92.8128453620176,34.2086696204089,145.825106347911)\n",
    "GCP[ 95]: Id=96, Info=\n",
    "          (14036,8032) -> (-92.67649874707,34.2287387618212,145.824940763414)\n",
    "GCP[ 96]: Id=97, Info=\n",
    "          (15312,8032) -> (-92.5400877412122,34.2486565520923,145.824776669964)\n",
    "GCP[ 97]: Id=98, Info=\n",
    "          (16588,8032) -> (-92.4036127549806,34.2684228076089,145.824614039622)\n",
    "GCP[ 98]: Id=99, Info=\n",
    "          (17864,8032) -> (-92.2670742010541,34.2880373459456,145.824452857487)\n",
    "GCP[ 99]: Id=100, Info=\n",
    "          (19140,8032) -> (-92.1304724942741,34.3074999858663,145.824293107726)\n",
    "GCP[100]: Id=101, Info=\n",
    "          (20416,8032) -> (-91.9938080516782,34.3268105473252,145.824134772643)\n",
    "GCP[101]: Id=102, Info=\n",
    "          (21692,8032) -> (-91.8570812925285,34.3459688514672,145.823977841064)\n",
    "GCP[102]: Id=103, Info=\n",
    "          (22968,8032) -> (-91.7202926382989,34.3649747206351,145.823822300881)\n",
    "GCP[103]: Id=104, Info=\n",
    "          (24244,8032) -> (-91.5834425125734,34.3838279783886,145.823668140918)\n",
    "GCP[104]: Id=105, Info=\n",
    "          (25504,8032) -> (-91.4482484714778,34.4022949074902,145.823517258279)\n",
    "GCP[105]: Id=106, Info=\n",
    "          (0,10040) -> (-94.2139238725098,34.1805072851632,198.548701436259)\n",
    "GCP[106]: Id=107, Info=\n",
    "          (1276,10040) -> (-94.0779547882432,34.2020757807732,198.548456720077)\n",
    "GCP[107]: Id=108, Info=\n",
    "          (2552,10040) -> (-93.9419167279478,34.2234938122191,198.548214334995)\n",
    "GCP[108]: Id=109, Info=\n",
    "          (3828,10040) -> (-93.805810087086,34.2447611828731,198.547974212095)\n",
    "GCP[109]: Id=110, Info=\n",
    "          (5104,10040) -> (-93.6696352636983,34.2658776971961,198.54773629643)\n",
    "GCP[110]: Id=111, Info=\n",
    "          (6380,10040) -> (-93.5333926579617,34.2868431608136,198.547500534914)\n",
    "GCP[111]: Id=112, Info=\n",
    "          (7656,10040) -> (-93.3970826720872,34.307657380537,198.54726688005)\n",
    "GCP[112]: Id=113, Info=\n",
    "          (8932,10040) -> (-93.2607057103604,34.3283201643619,198.547035292722)\n",
    "GCP[113]: Id=114, Info=\n",
    "          (10208,10040) -> (-93.124262179218,34.3488313214617,198.546805738471)\n",
    "GCP[114]: Id=115, Info=\n",
    "          (11484,10040) -> (-92.9877524873046,34.3691906621842,198.546578184702)\n",
    "GCP[115]: Id=116, Info=\n",
    "          (12760,10040) -> (-92.851177045497,34.3893979980535,198.546352600679)\n",
    "GCP[116]: Id=117, Info=\n",
    "          (14036,10040) -> (-92.7145362668988,34.4094531417768,198.546128966846)\n",
    "GCP[117]: Id=118, Info=\n",
    "          (15312,10040) -> (-92.5778305668214,34.4293559072516,198.545907253399)\n",
    "GCP[118]: Id=119, Info=\n",
    "          (16588,10040) -> (-92.4410603627686,34.4491061095739,198.545687450096)\n",
    "GCP[119]: Id=120, Info=\n",
    "          (17864,10040) -> (-92.3042260744354,34.4687035650432,198.545469530858)\n",
    "GCP[120]: Id=121, Info=\n",
    "          (19140,10040) -> (-92.1673281237276,34.4881480911647,198.545253487304)\n",
    "GCP[121]: Id=122, Info=\n",
    "          (20416,10040) -> (-92.0303669347938,34.5074395066495,198.545039299875)\n",
    "GCP[122]: Id=123, Info=\n",
    "          (21692,10040) -> (-91.8933429340491,34.5265776314174,198.544826953672)\n",
    "GCP[123]: Id=124, Info=\n",
    "          (22968,10040) -> (-91.7562565501562,34.5455622866038,198.54461644683)\n",
    "GCP[124]: Id=125, Info=\n",
    "          (24244,10040) -> (-91.6191082139124,34.5643932945809,198.544407761656)\n",
    "GCP[125]: Id=126, Info=\n",
    "          (25504,10040) -> (-91.4836192368266,34.5828372353663,198.544203476049)\n",
    "GCP[126]: Id=127, Info=\n",
    "          (0,12048) -> (-94.25432309759,34.3614557730504,302.946729348972)\n",
    "GCP[127]: Id=128, Info=\n",
    "          (1276,12048) -> (-94.1180621814358,34.383019675634,302.946361161768)\n",
    "GCP[128]: Id=129, Info=\n",
    "          (2552,12048) -> (-93.9817317837367,34.4044320795243,302.945996158756)\n",
    "GCP[129]: Id=130, Info=\n",
    "          (3828,12048) -> (-93.8453322976822,34.4256927883587,302.945634277537)\n",
    "GCP[130]: Id=131, Info=\n",
    "          (5104,12048) -> (-93.7088641201605,34.4468016066707,302.945275451057)\n",
    "GCP[131]: Id=132, Info=\n",
    "          (6380,12048) -> (-93.5723276511671,34.4677583399954,302.944919633679)\n",
    "GCP[132]: Id=133, Info=\n",
    "          (7656,12048) -> (-93.4357232935763,34.4885627949145,302.944566783495)\n",
    "GCP[133]: Id=134, Info=\n",
    "          (8932,12048) -> (-93.2990514530748,34.5092147790767,302.94421685487)\n",
    "GCP[134]: Id=135, Info=\n",
    "          (10208,12048) -> (-93.1623125381443,34.5297141012091,302.943869820796)\n",
    "GCP[135]: Id=136, Info=\n",
    "          (11484,12048) -> (-93.0255069600393,34.5500605711292,302.943525647745)\n",
    "GCP[136]: Id=137, Info=\n",
    "          (12760,12048) -> (-92.8886351327418,34.5702539997606,302.943184312433)\n",
    "GCP[137]: Id=138, Info=\n",
    "          (14036,12048) -> (-92.7516974728963,34.5902941991506,302.942845787853)\n",
    "GCP[138]: Id=139, Info=\n",
    "          (15312,12048) -> (-92.6146943997393,34.6101809824883,302.94251004979)\n",
    "GCP[139]: Id=140, Info=\n",
    "          (16588,12048) -> (-92.4776263350394,34.6299141641203,302.942177088931)\n",
    "GCP[140]: Id=141, Info=\n",
    "          (17864,12048) -> (-92.3404937030593,34.6494935595636,302.941846882924)\n",
    "GCP[141]: Id=142, Info=\n",
    "          (19140,12048) -> (-92.203296930544,34.6689189855134,302.941519422457)\n",
    "GCP[142]: Id=143, Info=\n",
    "          (20416,12048) -> (-92.0660364467276,34.6881902598488,302.941194689833)\n",
    "GCP[143]: Id=144, Info=\n",
    "          (21692,12048) -> (-91.9287126833378,34.7073072016389,302.940872677602)\n",
    "GCP[144]: Id=145, Info=\n",
    "          (22968,12048) -> (-91.7913260745629,34.7262696311536,302.940553373657)\n",
    "GCP[145]: Id=146, Info=\n",
    "          (24244,12048) -> (-91.6538770569317,34.7450773698865,302.940236770548)\n",
    "GCP[146]: Id=147, Info=\n",
    "          (25504,12048) -> (-91.5180907266005,34.7634973083089,302.93992678076)\n",
    "GCP[147]: Id=148, Info=\n",
    "          (0,14056) -> (-94.2969246946118,34.5420594060516,289.679583688267)\n",
    "GCP[148]: Id=149, Info=\n",
    "          (1276,14056) -> (-94.1603681371615,34.5636216263085,289.679230171256)\n",
    "GCP[149]: Id=150, Info=\n",
    "          (2552,14056) -> (-94.0237415667509,34.5850313088514,289.678879768588)\n",
    "GCP[150]: Id=151, Info=\n",
    "          (3828,14056) -> (-93.8870453754225,34.6062882573308,289.678532412276)\n",
    "GCP[151]: Id=152, Info=\n",
    "          (5104,14056) -> (-93.7502799599306,34.6273922761226,289.678188038059)\n",
    "GCP[152]: Id=153, Info=\n",
    "          (6380,14056) -> (-93.6134457210128,34.6483431704603,289.677846601233)\n",
    "GCP[153]: Id=154, Info=\n",
    "          (7656,14056) -> (-93.4765430630425,34.6691407465041,289.677508051507)\n",
    "GCP[154]: Id=155, Info=\n",
    "          (8932,14056) -> (-93.3395723938599,34.6897848113797,289.677172348835)\n",
    "GCP[155]: Id=156, Info=\n",
    "          (10208,14056) -> (-93.2025341246687,34.710275173207,289.676839462481)\n",
    "GCP[156]: Id=157, Info=\n",
    "          (11484,14056) -> (-93.0654286699406,34.7306116411265,289.676509361714)\n",
    "GCP[157]: Id=158, Info=\n",
    "          (12760,14056) -> (-92.9282564473089,34.7507940253259,289.67618201673)\n",
    "GCP[158]: Id=159, Info=\n",
    "          (14036,14056) -> (-92.7910178774539,34.7708221370681,289.675857400522)\n",
    "GCP[159]: Id=160, Info=\n",
    "          (15312,14056) -> (-92.6537133839908,34.7906957887171,289.675535497256)\n",
    "GCP[160]: Id=161, Info=\n",
    "          (16588,14056) -> (-92.5163433933767,34.8104147937606,289.675216287374)\n",
    "GCP[161]: Id=162, Info=\n",
    "          (17864,14056) -> (-92.378908334844,34.829978966828,289.674899755977)\n",
    "GCP[162]: Id=163, Info=\n",
    "          (19140,14056) -> (-92.2414086403649,34.8493881237039,289.674585882574)\n",
    "GCP[163]: Id=164, Info=\n",
    "          (20416,14056) -> (-92.1038447446349,34.8686420813381,289.674274659716)\n",
    "GCP[164]: Id=165, Info=\n",
    "          (21692,14056) -> (-91.9662170850546,34.8877406578559,289.673966070637)\n",
    "GCP[165]: Id=166, Info=\n",
    "          (22968,14056) -> (-91.8285261016697,34.9066836725741,289.673660114408)\n",
    "GCP[166]: Id=167, Info=\n",
    "          (24244,14056) -> (-91.6907722370178,34.9254709460289,289.6733567724)\n",
    "GCP[167]: Id=168, Info=\n",
    "          (25504,14056) -> (-91.5546844246163,34.943869644052,289.673059795983)\n",
    "GCP[168]: Id=169, Info=\n",
    "          (0,16064) -> (-94.3390836183297,34.7227358640494,306.064091209322)\n",
    "GCP[169]: Id=170, Info=\n",
    "          (1276,16064) -> (-94.2022389900078,34.7442943444211,306.063717443496)\n",
    "GCP[170]: Id=171, Info=\n",
    "          (2552,16064) -> (-94.0653231775186,34.7656993670926,306.063346951269)\n",
    "GCP[171]: Id=172, Info=\n",
    "          (3828,16064) -> (-93.9283366316392,34.7869507241728,306.062979667448)\n",
    "GCP[172]: Id=173, Info=\n",
    "          (5104,16064) -> (-93.7912798016242,34.8080482097263,306.062615531497)\n",
    "GCP[173]: Id=174, Info=\n",
    "          (6380,16064) -> (-93.654153135386,34.828991619729,306.062254494056)\n",
    "GCP[174]: Id=175, Info=\n",
    "          (7656,16064) -> (-93.5169570799065,34.8497807519904,306.061896506697)\n",
    "GCP[175]: Id=176, Info=\n",
    "          (8932,16064) -> (-93.3796920817076,34.870415406069,306.061541529372)\n",
    "GCP[176]: Id=177, Info=\n",
    "          (10208,16064) -> (-93.2423585872865,34.8908953831972,306.061189531349)\n",
    "GCP[177]: Id=178, Info=\n",
    "          (11484,16064) -> (-93.1049570434748,34.9112204862197,306.06084048003)\n",
    "GCP[178]: Id=179, Info=\n",
    "          (12760,16064) -> (-92.9674878977178,34.9313905195468,306.060494344682)\n",
    "GCP[179]: Id=180, Info=\n",
    "          (14036,16064) -> (-92.8299515982852,34.9514052891187,306.060151105747)\n",
    "GCP[180]: Id=181, Info=\n",
    "          (15312,16064) -> (-92.6923485944371,34.9712646023787,306.059810741805)\n",
    "GCP[181]: Id=182, Info=\n",
    "          (16588,16064) -> (-92.5546793365657,34.9909682682498,306.059473229572)\n",
    "GCP[182]: Id=183, Info=\n",
    "          (17864,16064) -> (-92.416944276331,35.0105160971143,306.059138556942)\n",
    "GCP[183]: Id=184, Info=\n",
    "          (19140,16064) -> (-92.2791438667984,35.0299079007933,306.058806712739)\n",
    "GCP[184]: Id=185, Info=\n",
    "          (20416,16064) -> (-92.141278562573,35.0491434925276,306.058477675542)\n",
    "GCP[185]: Id=186, Info=\n",
    "          (21692,16064) -> (-92.0033488199136,35.068222686963,306.058151436038)\n",
    "GCP[186]: Id=187, Info=\n",
    "          (22968,16064) -> (-91.8653550967926,35.0871453001428,306.057827989571)\n",
    "GCP[187]: Id=188, Info=\n",
    "          (24244,16064) -> (-91.7272978528524,35.1059111495157,306.057507327758)\n",
    "GCP[188]: Id=189, Info=\n",
    "          (25504,16064) -> (-91.5909098537345,35.1242876858511,306.057193404995)\n",
    "GCP[189]: Id=190, Info=\n",
    "          (0,16728) -> (-94.3542122503434,34.782295044955,246.882710632868)\n",
    "GCP[190]: Id=191, Info=\n",
    "          (1276,16728) -> (-94.2172619912602,34.8038552608933,246.882406512275)\n",
    "GCP[191]: Id=192, Info=\n",
    "          (2552,16728) -> (-94.080240740657,34.8252615995711,246.882105198689)\n",
    "GCP[192]: Id=193, Info=\n",
    "          (3828,16728) -> (-93.9431489136834,34.8465138598918,246.881806625053)\n",
    "GCP[193]: Id=194, Info=\n",
    "          (5104,16728) -> (-93.8059869285803,34.8676118418325,246.881510730833)\n",
    "GCP[194]: Id=195, Info=\n",
    "          (6380,16728) -> (-93.6687552061895,34.8885553465287,246.881217458285)\n",
    "GCP[195]: Id=196, Info=\n",
    "          (7656,16728) -> (-93.5314541698086,34.9093441763043,246.88092676457)\n",
    "GCP[196]: Id=197, Info=\n",
    "          (8932,16728) -> (-93.3940842451943,34.929978134678,246.880638615228)\n",
    "GCP[197]: Id=198, Info=\n",
    "          (10208,16728) -> (-93.2566458606044,34.9504570263632,246.880352959037)\n",
    "GCP[198]: Id=199, Info=\n",
    "          (11484,16728) -> (-93.1191394468253,34.9707806572715,246.880069776438)\n",
    "GCP[199]: Id=200, Info=\n",
    "          (12760,16728) -> (-92.9815654371698,34.9909488345194,246.879789030179)\n",
    "GCP[200]: Id=201, Info=\n",
    "          (14036,16728) -> (-92.8439242674496,35.0109613664389,246.879510701634)\n",
    "GCP[201]: Id=202, Info=\n",
    "          (15312,16728) -> (-92.7062163759374,35.0308180625903,246.879234765656)\n",
    "GCP[202]: Id=203, Info=\n",
    "          (16588,16728) -> (-92.5684422033351,35.050518733772,246.878961206414)\n",
    "GCP[203]: Id=204, Info=\n",
    "          (17864,16728) -> (-92.4306021927598,35.0700631920292,246.878689996898)\n",
    "GCP[204]: Id=205, Info=\n",
    "          (19140,16728) -> (-92.2926967897523,35.0894512506582,246.878421133384)\n",
    "GCP[205]: Id=206, Info=\n",
    "          (20416,16728) -> (-92.1547264422987,35.1086827242094,246.878154591657)\n",
    "GCP[206]: Id=207, Info=\n",
    "          (21692,16728) -> (-92.0166916008444,35.1277574284911,246.87789036613)\n",
    "GCP[207]: Id=208, Info=\n",
    "          (22968,16728) -> (-91.8785927182643,35.1466751805799,246.8776284419)\n",
    "GCP[208]: Id=209, Info=\n",
    "          (24244,16728) -> (-91.7404302497364,35.1654357988433,246.877368811518)\n",
    "GCP[209]: Id=210, Info=\n",
    "          (25504,16728) -> (-91.6039382777295,35.1838068073759,246.877114677802)\n",
    "Metadata:\n",
    "  AREA_OR_POINT=Area\n",
    "  TIFFTAG_DATETIME=2017:01:27 08:07:14\n",
    "  TIFFTAG_IMAGEDESCRIPTION=Sentinel-1A IW GRD HR L1\n",
    "  TIFFTAG_SOFTWARE=Sentinel-1 IPF 002.72\n",
    "Image Structure Metadata:\n",
    "  INTERLEAVE=BAND\n",
    "Corner Coordinates:\n",
    "Upper Left  (    0.0,    0.0)\n",
    "Lower Left  (    0.0,16729.0)\n",
    "Upper Right (25505.0,    0.0)\n",
    "Lower Right (25505.0,16729.0)\n",
    "Center      (12752.5, 8364.5)\n",
    "Band 1 Block=25505x1 Type=UInt16, ColorInterp=Gray\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To geocode this dataset on a uniform lat/lon grid, we can use \n",
    "\n",
    "```bash\n",
    "> gdalwarp -t_srs EPSG:4326 -tr 0.003 0.003 -r average /vsizip/S1A_IW_GRDH_1SDV_20170127T001111_20170127T001136_015010_01884A_9043.zip/S1A_IW_GRDH_1SDV_20170127T001111_20170127T001136_015010_01884A_9043.SAFE/measurement/s1a-iw-grd-vv-20170127t001111-20170127t001136-015010-01884a-001.tiff  geocoded_with_gcp.tif\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are other input options like the order of polynomial (\"-order\") and thin plate transformer (\"-tps\") that allow for further control on geocoding using GCPs."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### b. Geocoding using geolocation arrays"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Note that this section requires you to have processed an interferogram!*\n",
    "\n",
    "In this section we will provide programmatic examples of how pixel-by-pixel lon/lat or x/y arrays for swath imagery can be used for directly geocoding the data without any specialized radar processing tools. Note that ISCE already generates these files as part of the \"topo\" processing step in stripmapApp.py or topsApp.py. The main requirement is that these lon/lat or x/y arrays have the same dimensions as the raster image that you are trying to geocode. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Locating a pixel with known location in a SAR/InSAR image"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before moving to geocoding entire images, we often encounter the use case where people want to quickly identify a known feature (say a GPS station or a building) in a radar image. This is often challenging without tools specialized for radar processing. However, if geolocation arrays are available with the radar image- this can be easily accomplished using GDAL's coordinate transformation features. We will demonstrate this with an example."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have included the outputs from a stripmapApp.py processing run in the subfolder named **stripmap**. This is a pair processed over a very small volcano named Barren Island in the Indian ocean. The peak of this island is known to be located at location 12.27486N, 93.864E. We will try to locate this pixel in the full resolution correlation image in radar coordinates (**topophase.cor.full**). We will use the full resolution lat (**lat.rdr.full**) and lon (**lon.rdr.full**) files for this. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def radarGeometryTransformer(infile, latfile, lonfile, epsg=4326):\n",
    "    '''\n",
    "    Create a coordinate transformer to convert map coordinates to radar image line/pixels.\n",
    "    '''\n",
    "    \n",
    "    driver = gdal.GetDriverByName('VRT')\n",
    "    inds = gdal.OpenShared(infile, gdal.GA_ReadOnly)\n",
    "    tempds = driver.Create('', inds.RasterXSize, inds.RasterYSize, 0)\n",
    "    inds = None\n",
    "    \n",
    "    tempds.SetMetadata({'SRS' : 'EPSG:{0}'.format(epsg),\n",
    "                        'X_DATASET': lonfile,\n",
    "                        'X_BAND' : '1',\n",
    "                        'Y_DATASET': latfile,\n",
    "                        'Y_BAND' : '1',\n",
    "                        'PIXEL_OFFSET' : '0',\n",
    "                        'LINE_OFFSET' : '0',\n",
    "                        'PIXEL_STEP' : '1',\n",
    "                        'LINE_STEP' : '1'}, 'GEOLOCATION')\n",
    "    \n",
    "    trans = gdal.Transformer( tempds, None, ['METHOD=GEOLOC_ARRAY'])\n",
    "    \n",
    "    return trans    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "ename": "IndentationError",
     "evalue": "unexpected indent (3770094130.py, line 3)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;36m  File \u001b[0;32m\"/var/folders/7d/61kbxptj5yl29nbrh216cv_40000gn/T/ipykernel_12431/3770094130.py\"\u001b[0;36m, line \u001b[0;32m3\u001b[0m\n\u001b[0;31m    '/Users/jacktarricone/warp_test/jemez_vrt/lon.llh.vrt',\u001b[0m\n\u001b[0m    ^\u001b[0m\n\u001b[0;31mIndentationError\u001b[0m\u001b[0;31m:\u001b[0m unexpected indent\n"
     ]
    }
   ],
   "source": [
    "###Lets create a transformer for our dataset and test\n",
    "#trans = radarGeometryTransformer('/Users/jacktarricone/warp_test/jemez_vrt/ele.llh.vrt', \n",
    "                                 '/Users/jacktarricone/warp_test/jemez_vrt/lon.llh.vrt',\n",
    "                                 '/Users/jacktarricone/warp_test/jemez_vrt/lat.llh.vrt')\n",
    "\n",
    "###Checkour our location of interest\n",
    "#success, location = trans.TransformPoint(1, 93.864, 12.27486, 0.)\n",
    "#if not success:\n",
    "    #print('Location outside the geolocation array range')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "ename": "IndexError",
     "evalue": "band index U out of range (not in (1, 2, 3))",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/7d/61kbxptj5yl29nbrh216cv_40000gn/T/ipykernel_12431/546594876.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mrasterio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvstack\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0msrc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m     \u001b[0marray\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msrc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvstack\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32mrasterio/_io.pyx\u001b[0m in \u001b[0;36mrasterio._io.DatasetReaderBase.read\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mIndexError\u001b[0m: band index U out of range (not in (1, 2, 3))"
     ]
    }
   ],
   "source": [
    "import rasterio\n",
    "import numpy as np\n",
    "\n",
    "vstack = '/Users/jacktarricone/warp_test/jemez_vrt/alamos_35915_03_BU_s1_2x8.llh.vrt'\n",
    "bands = [1]\n",
    "\n",
    "# define cropping window ((row_start, row_stop), (col_start, col_stop))\n",
    "window = ((10, 50), (30, 40))\n",
    "\n",
    "with rasterio.open(vstack) as src:\n",
    "    array = src.read(vstack[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"500\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "###Lets plot this on a raster to confirm the peak location\n",
    "data, ext = loadData('/Users/jacktarricone/warp_test/jemez_vrt/lon.llh.vrt')\n",
    "#plt.figure()\n",
    "#plt.imshow(data)\n",
    "\n",
    "#colorbar = fig.colorbar(data, ax=ax)\n",
    "#plt.show()\n",
    "\n",
    "# test matplotlib style of plot bc it has color bar\n",
    "fig, ax = plt.subplots(figsize=(5, 5))\n",
    "\n",
    "ax.set_title(\"Amplitude 1 #data info here\", fontsize= 10)\n",
    "data_plot = ax.imshow(data,\n",
    "           cmap='inferno')\n",
    "\n",
    "# add legend\n",
    "colorbar = fig.colorbar(data_plot, ax=ax)\n",
    "plt.show()\n",
    "#plt.scatter(location[0], location[1], marker='+', c='r')\n",
    "#plt.show()\n",
    "#data = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import rasterio\n",
    "import rasterio.plot\n",
    "import glob\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "with rasterio.open('/Users/jacktarricone/warp_test/jemez_vrt/ele.llh.vrt') as raster_vrt:\n",
    "    rasterio.plot.show(raster_vrt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "folder = '/Users/jacktarricone/warp_test/jemez_vrt/'\n",
    "\n",
    "data_to_process = glob.glob(os.path.join(folder, '*.grd')) # list all .grd files\n",
    "for data_path in data_to_process: # loop to open and translate .grd to .tiff, and save .tiffs using gdal\n",
    "    raster_dataset = gdal.Open(data_path, gdal.GA_ReadOnly)\n",
    "    raster = gdal.Translate(os.path.join(folder, os.path.basename(data_path) + '.tiff'), \n",
    "                                raster_dataset, format = 'Gtiff', outputType = gdal.GDT_Float64)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.chdir('/Users/jacktarricone/warp_test/jemez_vrt/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ele.llh.grd.tiff\n"
     ]
    }
   ],
   "source": [
    "# amplitude from the first acquisition\n",
    "for amp1 in glob.glob(\"ele.llh.grd.tiff\"):\n",
    "    print(amp1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'driver': 'GTiff', 'dtype': 'float64', 'nodata': None, 'width': 4895, 'height': 8636, 'count': 1, 'crs': None, 'transform': Affine(1.0, 0.0, 0.0,\n",
      "       0.0, 1.0, 0.0), 'tiled': False, 'interleave': 'band'}\n"
     ]
    }
   ],
   "source": [
    "cor_rast = rasterio.open(amp1)\n",
    "cor_meta = cor_rast.profile\n",
    "print(cor_meta)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Geocoding a full image"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can use the geolocation arrays mechanism to geocode the entire image using the standard **gdalwarp** interface. We will achieve this by creating a VRT file with the same information as the python function shown above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def geocodeUsingGdalWarp(infile, latfile, lonfile, outfile,\n",
    "                         insrs=4326, outsrs=None,\n",
    "                         spacing=None, fmt='GTiff', bounds=None,\n",
    "                         method='near'):\n",
    "    '''\n",
    "    Geocode a swath file using corresponding lat, lon files\n",
    "    '''\n",
    "    sourcexmltmpl = '''    <SimpleSource>\n",
    "      <SourceFilename>{0}</SourceFilename>\n",
    "      <SourceBand>{1}</SourceBand>\n",
    "    </SimpleSource>'''\n",
    "    \n",
    "    driver = gdal.GetDriverByName('VRT')\n",
    "    tempvrtname = '/Users/jacktarricone/warp_test/jemez_vrt/geocode.vrt'\n",
    "    inds = gdal.OpenShared(infile, gdal.GA_ReadOnly)\n",
    "    \n",
    "    tempds = driver.Create(tempvrtname, inds.RasterXSize, inds.RasterYSize, 0)\n",
    "    \n",
    "    for ii in range(inds.RasterCount):\n",
    "        band = inds.GetRasterBand(1)\n",
    "        tempds.AddBand(band.DataType)\n",
    "        tempds.GetRasterBand(ii+1).SetMetadata({'source_0': sourcexmltmpl.format(infile, ii+1)}, 'vrt_sources')\n",
    "  \n",
    "    sref = osr.SpatialReference()\n",
    "    sref.ImportFromEPSG(insrs)\n",
    "    srswkt = sref.ExportToWkt()\n",
    "\n",
    "    tempds.SetMetadata({'SRS' : srswkt,\n",
    "                        'X_DATASET': lonfile,\n",
    "                        'X_BAND' : '1',\n",
    "                        'Y_DATASET': latfile,\n",
    "                        'Y_BAND' : '1',\n",
    "                        'PIXEL_OFFSET' : '0',\n",
    "                        'LINE_OFFSET' : '0',\n",
    "                        'PIXEL_STEP' : '1',\n",
    "                        'LINE_STEP' : '1'}, 'GEOLOCATION')\n",
    "    \n",
    "    band = None\n",
    "    tempds = None \n",
    "    inds = None\n",
    "    \n",
    "    if spacing is None:\n",
    "        spacing = [None, None]\n",
    "    \n",
    "    warpOptions = gdal.WarpOptions(format=fmt,\n",
    "                                   xRes=spacing[0], yRes=spacing[0],\n",
    "                                   dstSRS=outsrs, outputBounds = bounds, \n",
    "                                   resampleAlg=method, geoloc=True)\n",
    "    gdal.Warp(outfile, tempvrtname, options=warpOptions)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "ename": "RuntimeError",
     "evalue": "Computed dimensions are too big : 5024961711496945349264656083361098628778299416074072066609061958880716480277138524821119526503724979842560481551922624882330542269050044078914685019505142267904 x 5055357037465656215991589044436845452668417268294179039792404732713800542572362667012093298375474365959999563264127884120771995781189551531071521341820985409536",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/7d/61kbxptj5yl29nbrh216cv_40000gn/T/ipykernel_59685/2154986929.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m###Create and visualize geocoded output\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m geocodeUsingGdalWarp('/Users/jacktarricone/warp_test/jemez_vrt/ele.llh.vrt',\n\u001b[0m\u001b[1;32m      3\u001b[0m                      \u001b[0;34m'/Users/jacktarricone/warp_test/jemez_vrt/lon.llh.vrt'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m                      \u001b[0;34m'/Users/jacktarricone/warp_test/jemez_vrt/lat.llh.vrt'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m                      \u001b[0;34m'/Users/jacktarricone/warp_test/jemez_vrt/ele_geocoded.tiff'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/var/folders/7d/61kbxptj5yl29nbrh216cv_40000gn/T/ipykernel_59685/1474434748.py\u001b[0m in \u001b[0;36mgeocodeUsingGdalWarp\u001b[0;34m(infile, latfile, lonfile, outfile, insrs, outsrs, spacing, fmt, bounds, method)\u001b[0m\n\u001b[1;32m     47\u001b[0m                                    \u001b[0mdstSRS\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0moutsrs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moutputBounds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbounds\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     48\u001b[0m                                    resampleAlg=method, geoloc=True)\n\u001b[0;32m---> 49\u001b[0;31m     \u001b[0mgdal\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mWarp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutfile\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtempvrtname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptions\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mwarpOptions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     50\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/miniconda3/envs/test_env/lib/python3.8/site-packages/osgeo/gdal.py\u001b[0m in \u001b[0;36mWarp\u001b[0;34m(destNameOrDestDS, srcDSOrSrcDSTab, **kwargs)\u001b[0m\n\u001b[1;32m    687\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    688\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdestNameOrDestDS\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 689\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mwrapper_GDALWarpDestName\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdestNameOrDestDS\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msrcDSTab\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopts\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcallback\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcallback_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    690\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    691\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mwrapper_GDALWarpDestDS\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdestNameOrDestDS\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msrcDSTab\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopts\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcallback\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcallback_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/miniconda3/envs/test_env/lib/python3.8/site-packages/osgeo/gdal.py\u001b[0m in \u001b[0;36mwrapper_GDALWarpDestName\u001b[0;34m(*args)\u001b[0m\n\u001b[1;32m   4598\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mwrapper_GDALWarpDestName\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4599\u001b[0m     \u001b[0;34m\"\"\"wrapper_GDALWarpDestName(char const * dest, int object_list_count, GDALWarpAppOptions warpAppOptions, GDALProgressFunc callback=0, void * callback_data=None) -> Dataset\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4600\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0m_gdal\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrapper_GDALWarpDestName\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   4601\u001b[0m \u001b[0;32mclass\u001b[0m \u001b[0mGDALVectorTranslateOptions\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_object\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4602\u001b[0m     \u001b[0;34m\"\"\"Proxy of C++ GDALVectorTranslateOptions class.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mRuntimeError\u001b[0m: Computed dimensions are too big : 5024961711496945349264656083361098628778299416074072066609061958880716480277138524821119526503724979842560481551922624882330542269050044078914685019505142267904 x 5055357037465656215991589044436845452668417268294179039792404732713800542572362667012093298375474365959999563264127884120771995781189551531071521341820985409536"
     ]
    }
   ],
   "source": [
    "###Create and visualize geocoded output\n",
    "geocodeUsingGdalWarp('/Users/jacktarricone/warp_test/jemez_vrt/ele.llh.vrt',\n",
    "                     '/Users/jacktarricone/warp_test/jemez_vrt/lon.llh.vrt',\n",
    "                     '/Users/jacktarricone/warp_test/jemez_vrt/lat.llh.vrt',\n",
    "                     '/Users/jacktarricone/warp_test/jemez_vrt/ele_geocoded.tiff',\n",
    "                     spacing=[0.0005, 0.0005])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "geodata, geoext = loadData('stripmap/geocoded_coherence.tif', band=2)\n",
    "\n",
    "plt.figure()\n",
    "plt.imshow(geodata, extent=geoext, cmap='gray')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Other features to keep an eye on\n",
    "\n",
    "1. **gdaldem** is an utility that allows one to apply color palettes to raster images. Very fast and can use custom color palettes. Compatible with GMT's cpt files. (http://www.gdal.org/gdaldem.html)\n",
    "\n",
    "2. **gdal_rasterize** allows users to rasterize shapefiles / vector formats. (http://www.gdal.org/gdal_rasterize.html)\n",
    "\n",
    "3. **gdal_edit.py** allows users to edit raster metadata on the command line. (http://www.gdal.org/gdal_edit.html)"
   ]
  }
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