EnkelBandKalkMedSnappy.ipynb

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   "execution_count": 31,
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   "source": [
    "# Import modules\n",
    "import ndvi_algo\n",
    "import snappy\n",
    "from snappy import ProductIO\n",
    "from snappy import GPF\n",
    "from snappy import jpy\n",
    "import sys\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
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     "name": "stdout",
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     "text": [
      "Reading...\n",
      "Product: S2A_MSIL1C_20170523T104031_N0205_R008_T32VNM_20170523T104025, 10980 x 10980 pixels, None\n",
      "Bands:   ['B1', 'B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B8', 'B8A', 'B9', 'B10', 'B11', 'B12', 'view_zenith_mean', 'view_azimuth_mean', 'sun_zenith', 'sun_azimuth', 'view_zenith_B1', 'view_azimuth_B1', 'view_zenith_B2', 'view_azimuth_B2', 'view_zenith_B3', 'view_azimuth_B3', 'view_zenith_B4', 'view_azimuth_B4', 'view_zenith_B5', 'view_azimuth_B5', 'view_zenith_B6', 'view_azimuth_B6', 'view_zenith_B7', 'view_azimuth_B7', 'view_zenith_B8', 'view_azimuth_B8', 'view_zenith_B8A', 'view_azimuth_B8A', 'view_zenith_B9', 'view_azimuth_B9', 'view_zenith_B10', 'view_azimuth_B10', 'view_zenith_B11', 'view_azimuth_B11', 'view_zenith_B12', 'view_azimuth_B12']\n"
     ]
    }
   ],
   "source": [
    "# Import files\n",
    "print(\"Reading...\")\n",
    "product = ProductIO.readProduct('/home/fklingenberg/Documents/Mosaicing_python/Data/S2A_MSIL1C_20170523T104031_N0205_R008_T32VNM_20170523T104025.SAFE/MTD_MSIL1C.xml')\n",
    "width = product.getSceneRasterWidth()\n",
    "height = product.getSceneRasterHeight()\n",
    "name = product.getName()\n",
    "description = product.getDescription()\n",
    "band_names = product.getBandNames()\n",
    "\n",
    "print(\"Product: %s, %d x %d pixels, %s\" % (name, width, height, description))\n",
    "print(\"Bands:   %s\" % (list(band_names)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "GPF.getDefaultInstance().getOperatorSpiRegistry().loadOperatorSpis()\n",
    "HashMap = jpy.get_type('java.util.HashMap')\n",
    "BandDescriptor = jpy.get_type('org.esa.snap.core.gpf.common.BandMathsOp$BandDescriptor')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "# NDSI\n",
    "targetBand1 = BandDescriptor()\n",
    "targetBand1.name = 'band_1'\n",
    "targetBand1.type = 'float32'\n",
    "targetBand1.expression = '(B3 - B11) / (B3 + B11)'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# NDVI\n",
    "targetBand2 = BandDescriptor()\n",
    "targetBand2.name = 'band_2'\n",
    "targetBand2.type = 'float32'\n",
    "targetBand2.expression = '(B8 - B4) / (B8 + B4)'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing...\n",
      "Done.\n"
     ]
    }
   ],
   "source": [
    "# Til fil\n",
    "targetBands = jpy.array('org.esa.snap.core.gpf.common.BandMathsOp$BandDescriptor', 1)\n",
    "targetBands[0] = targetBand2\n",
    "#targetBands[1] = targetBand1\n",
    "\n",
    "parameters = HashMap()\n",
    "parameters.put('targetBands', targetBands)\n",
    "\n",
    "result = GPF.createProduct('BandMaths', parameters, product)\n",
    "\n",
    "print(\"Writing...\")\n",
    "\n",
    "ProductIO.writeProduct(result, 'snappy_bmaths_output.dim', 'BEAM-DIMAP')\n",
    "\n",
    "print(\"Done.\")\n"
   ]
  }
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