diff --git a/Sentinal.ipynb b/Sentinal.ipynb
new file mode 100644
index 0000000..43da07e
--- /dev/null
+++ b/Sentinal.ipynb
@@ -0,0 +1,918 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "Sentinal.ipynb",
+      "provenance": [],
+      "collapsed_sections": [],
+      "authorship_tag": "ABX9TyO2YiEsxxVI+8aR61XOcyA4",
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/sudhir2016/Alexa/blob/master/Sentinal.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "dnhitYmUDvaK",
+        "colab_type": "text"
+      },
+      "source": [
+        "Install sentinalsat, geopandas and rasterio."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "USkzgZGED7iv",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "! pip install sentinelsat"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "N49y9erYn2_9",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "! pip install geopandas"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "whocVGN7oVsb",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "! pip install rasterio"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "B52BVeQxEBSG",
+        "colab_type": "text"
+      },
+      "source": [
+        "Various imports."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "bmlINOZLnvRL",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "from sentinelsat import SentinelAPI,read_geojson, geojson_to_wkt\n",
+        "import geopandas as gpd\n",
+        "import rasterio as rio\n",
+        "from rasterio.plot import show\n",
+        "from rasterio import mask\n",
+        "import numpy as np\n",
+        "import glob"
+      ],
+      "execution_count": 4,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "QK5U3-zQEGw2",
+        "colab_type": "text"
+      },
+      "source": [
+        "User name and Password for Sentinal."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "7CtX1njrM4BP",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "user="
+      ],
+      "execution_count": 5,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "5gQtK6LwM_5X",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "password="
+      ],
+      "execution_count": 6,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "V4eZfxuPFFE1",
+        "colab_type": "text"
+      },
+      "source": [
+        "Create sentinal query based on our plot coordinates,  required time window and cloud cover filter. Sentinal will provide list of availalble tiles called products."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "-NW_fVGINFEw",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "api = SentinelAPI(user, password, 'https://scihub.copernicus.eu/dhus')"
+      ],
+      "execution_count": 7,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "qIp1qCYiS6MS",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "footprint = geojson_to_wkt(read_geojson('plot.geojson'))"
+      ],
+      "execution_count": 9,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "A57H5HpiSpjE",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "products = api.query(footprint,\n",
+        "                     date = ('20200701', '20200831'),\n",
+        "                     platformname = 'Sentinel-2',\n",
+        "                     processinglevel = 'Level-2A',\n",
+        "                     cloudcoverpercentage = (0,100)\n",
+        "                    )"
+      ],
+      "execution_count": 10,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "sI52YLYhIn6w",
+        "colab_type": "text"
+      },
+      "source": [
+        "load products as geopandas dataframe."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "SY2AOtcGk3TZ",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "products_gdf = api.to_geodataframe(products)\n",
+        "print(products_gdf)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "jeUXr0rnGvko",
+        "colab_type": "text"
+      },
+      "source": [
+        "Obtain ID of most recent Sentinal dataset."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "BGtEXB57tzel",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "uuid=products_gdf['uuid']"
+      ],
+      "execution_count": 12,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "VWH7wM66KKte",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "#cloud=products_gdf['cloudcoverpercentage']\n",
+        "#print(cloud)"
+      ],
+      "execution_count": 12,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "s3fOjRq2zkJQ",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "uuid1=uuid[0]\n",
+        "print(uuid1)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "ybHhA3esHXxo",
+        "colab_type": "text"
+      },
+      "source": [
+        "Download most recent Sentinal data."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "drHGzgGcl0ot",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "api.download(uuid1)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "Ei4RjgIwHfuO",
+        "colab_type": "text"
+      },
+      "source": [
+        "Obtain filename of downloaded Sentilnal zip file."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "usAzSam4e6qX",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "for name in glob.glob('/content/*.zip'):\n",
+        "  file=name\n",
+        "print(file)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "7vnUqBLiJEwQ",
+        "colab_type": "text"
+      },
+      "source": [
+        "Unzip Sentinal file."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "3Bc-57nmgVAN",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "! unzip '$file'"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "s0xZr5tULSMG",
+        "colab_type": "text"
+      },
+      "source": [
+        "Obtain the name to the Sentinal data directory."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "Me81pZsNLcOL",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "for name in glob.glob('/content/*.SAFE'):\n",
+        "  file1=name\n",
+        "print(file1)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "dl6w8k-oM2I9",
+        "colab_type": "text"
+      },
+      "source": [
+        "Obtain the path of the Sentinal image data."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "2pVeY2_HMHwQ",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "for name in glob.glob(file1+'/GRANULE/*'):\n",
+        "  file2=name\n",
+        "print(file2)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "Ou5DFzPDRAeX",
+        "colab_type": "text"
+      },
+      "source": [
+        "Obtain the file names of B2(B),B3(G),B4(R) and B8(NIR) channel images."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "PMBXmyxLXKQ-",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "file3=[]"
+      ],
+      "execution_count": 18,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "DcKc6PN-Wa2l",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "for name in glob.glob(file2+'/IMG_DATA/R10m/*'):\n",
+        "  file3.append(name)\n",
+        "file3.sort()\n",
+        "print(file3)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "IvCARpmMRN_N",
+        "colab_type": "text"
+      },
+      "source": [
+        "Read the B2, B3, B4 and B8 channel data."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "5D1FtXQrZOBr",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "b4=rio.open(file3[3])"
+      ],
+      "execution_count": 20,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "M9DNLVXBZu6B",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "b3=rio.open(file3[2])"
+      ],
+      "execution_count": 21,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "1bP40TuCZ0Qy",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "b2=rio.open(file3[1])"
+      ],
+      "execution_count": 22,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "upgmmxvsaA4X",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "b8=rio.open(file3[4])"
+      ],
+      "execution_count": 23,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "2l1_CPDbS6VA",
+        "colab_type": "text"
+      },
+      "source": [
+        "Create RGB tiff file."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "Z7e0KRD1_AXs",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "with rio.open('RGB.tiff','w',driver='Gtiff', width=b4.width, height=b4.height, \n",
+        "              count=3,crs=b4.crs,transform=b4.transform, dtype=b4.dtypes[0]) as rgb:\n",
+        "    rgb.write(b2.read(1),1) \n",
+        "    rgb.write(b3.read(1),2) \n",
+        "    rgb.write(b4.read(1),3) \n",
+        "    rgb.close()"
+      ],
+      "execution_count": 24,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "8AV2NGzpRj6R",
+        "colab_type": "text"
+      },
+      "source": [
+        "Show RGB.tiff for the complete Sentinal tile."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "hYbnjtE6AZzR",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "src = rio.open(\"RGB.tiff\")\n",
+        "show(src)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "xy-SCMbYSP8H",
+        "colab_type": "text"
+      },
+      "source": [
+        "Read B4(red) and B8(NIR) data and calculate NDVI."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "ni_S9zbzBsrV",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "red = b4.read()\n",
+        "nir = b8.read()"
+      ],
+      "execution_count": 26,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "nWhL6pLsDCe2",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "ndvi = (nir.astype(float)-red.astype(float))/(nir+red)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "u07weA0RDKrZ",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "print(ndvi)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "LbuwtZN9StCn",
+        "colab_type": "text"
+      },
+      "source": [
+        "Create NDVI tiff file."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "5rA6IYYPDg6-",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "meta = b4.meta\n",
+        "meta.update(driver='GTiff')\n",
+        "meta.update(dtype=rio.float32)\n",
+        "\n",
+        "with rio.open('NDVI.tiff', 'w', **meta) as dst:\n",
+        "    dst.write(ndvi.astype(rio.float32))"
+      ],
+      "execution_count": 29,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "d7AXjmN2TPU8",
+        "colab_type": "text"
+      },
+      "source": [
+        "Show NDVI for complete Sentinal tile."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "n3E_iDkzEEAN",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "src = rio.open(\"NDVI.tiff\")\n",
+        "show(src)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "g5VvnCGkT3Td",
+        "colab_type": "text"
+      },
+      "source": [
+        "Extract the Coordinate Reference System(crs) of the Sentinal data."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "m9WHYG90sffD",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "b6c938e3-ad1d-487f-db91-2423e68a794b"
+      },
+      "source": [
+        "crs=src.crs\n",
+        "print(crs)"
+      ],
+      "execution_count": 31,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "EPSG:32643\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "a6FD4gfZUbiu",
+        "colab_type": "text"
+      },
+      "source": [
+        "Convert plot coodinates to Sentinal crs."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "ANk0VziC9Zfa",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "plot=gpd.read_file('plot.geojson')"
+      ],
+      "execution_count": 32,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "4S46bBPB_mqv",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "plot1=plot.to_crs({'init': crs})"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "5-18qkPC_OHN",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "geo=plot1.geometry\n",
+        "print(geo)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "vAdH8UHqU9uO",
+        "colab_type": "text"
+      },
+      "source": [
+        "Extract plot RGB from Sentinal data."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "iihHPoqfAJ3r",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "with rio.open(\"RGB.tiff\") as src:\n",
+        "    out_image, out_transform = rio.mask.mask(src,geo,crop=True)\n",
+        "    out_meta = src.meta.copy()\n",
+        "    out_meta.update({\"driver\": \"GTiff\",\n",
+        "                 \"height\": out_image.shape[1],\n",
+        "                 \"width\": out_image.shape[2],\n",
+        "                 \"transform\": out_transform})"
+      ],
+      "execution_count": 35,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "5ckSQTWeVOOA",
+        "colab_type": "text"
+      },
+      "source": [
+        "Create RGB tiff file for plot and show."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "ta_DzlPnAoG2",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "with rio.open(\"RGB_plot.tiff\", \"w\", **out_meta) as dest:\n",
+        "    dest.write(out_image)"
+      ],
+      "execution_count": 36,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "kGGHyTfnAq3e",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "src = rio.open(\"RGB_plot.tiff\")\n",
+        "show(src)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "VZNpqTjOWVRD",
+        "colab_type": "text"
+      },
+      "source": [
+        "Extract plot NDVI."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "hLmeUB96BVxI",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "with rio.open(\"NDVI.tiff\") as src:\n",
+        "    out_image, out_transform = rio.mask.mask(src,geo,crop=True)\n",
+        "    out_meta = src.meta.copy()\n",
+        "    out_meta.update({\"driver\": \"GTiff\",\n",
+        "                 \"height\": out_image.shape[1],\n",
+        "                 \"width\": out_image.shape[2],\n",
+        "                 \"transform\": out_transform})"
+      ],
+      "execution_count": 38,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "cJiKCJ9-WwFm",
+        "colab_type": "text"
+      },
+      "source": [
+        "Create NDVI tiff file for plot and show."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "f-QTnQXvBgzd",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "with rio.open(\"NDVI_plot.tiff\", \"w\", **out_meta) as dest:\n",
+        "    dest.write(out_image)"
+      ],
+      "execution_count": 39,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "cTMS6k61Bqgo",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "src = rio.open(\"NDVI_plot.tiff\")\n",
+        "show(src)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "4RPnxg2TYLGY",
+        "colab_type": "text"
+      },
+      "source": [
+        "Read plot NDVI data, drop zero values and calculate mean NDVI."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "9M1NB917D5ab",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "data=src.read(1)"
+      ],
+      "execution_count": 41,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "COUyIc-ZHgCj",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "data1=data[data != 0]"
+      ],
+      "execution_count": 42,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "CpVA4jFkKgly",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "Mean_NDVI_Plot=np.sum(data1)/data1.size\n",
+        "print(Mean_NDVI_Plot)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file