SML_v6_ghsl_built_pop_smod.ipynb

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    "accelerator": "TPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z1a1YvqQMYwq",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!pip install gdal\n",
        "!pip install rasterio\n",
        "!pip install sentinelsat"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RFoYRRBraO35",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sentinelsat.sentinel import SentinelAPI, read_geojson, geojson_to_wkt\n",
        "import gdal\n",
        "from gdalconst import GA_ReadOnly \n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline \n",
        "import cv2\n",
        "import numpy as np\n",
        "from collections import Counter\n",
        "from tqdm import tqdm_notebook as tqdm\n",
        "IMG_SIZE=1031\n",
        "import rasterio\n",
        "from rasterio.plot import show\n",
        "import subprocess\n",
        "import os\n",
        "import math\n",
        "from sklearn.preprocessing import minmax_scale\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n",
        "COORDINATE_SYSTEM='EPSG:32632'\n",
        "BIG_X_SIZE=12371\n",
        "BIG_Y_SIZE=12371"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H8AocvjjPhJv",
        "colab_type": "text"
      },
      "source": [
        "# **GHS BUILT-UP**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mc5cUgbQMsgh",
        "colab_type": "text"
      },
      "source": [
        "**DOWNLOAD CLC REFERENCE DATA**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cMkDlUdYMcms",
        "colab_type": "code",
        "outputId": "4641865e-cffb-490d-da4a-cc419a4defc1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "subprocess.run(['wget', 'https://land.copernicus.eu/land-files/7ac95361f9ac3cecdf37785bc183ff02dd765a16.zip'])\n",
        "subprocess.run(['unzip' ,'7ac95361f9ac3cecdf37785bc183ff02dd765a16.zip'])\n",
        "subprocess.run(['unzip' ,'clc2018_clc2018_v2018_20_raster100m.zip'])\n",
        "subprocess.run(['gdalwarp','-co','COMPRESS=DEFLATE','-t_srs',COORDINATE_SYSTEM,'clc2018_clc2018_v2018_20_raster100m/CLC2018_CLC2018_V2018_20.tif','europe.tif'])\n"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "CompletedProcess(args=['gdalwarp', '-co', 'COMPRESS=DEFLATE', '-t_srs', 'EPSG:32632', 'clc2018_clc2018_v2018_20_raster100m/CLC2018_CLC2018_V2018_20.tif', 'europe.tif'], returncode=0)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3TibEqxG3UVr",
        "colab_type": "text"
      },
      "source": [
        "**STEP 1 : DATA PREPROCESSING**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7eprcUOi3EDs",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def download_scene(file_id):\n",
        "  api = SentinelAPI('s5pguest', 's5pguest',api_url='https://scihub.copernicus.eu/apihub')\n",
        "  api.download(file_id)\n",
        "\n",
        "def unzip_scene(file_name):\n",
        "  subprocess.call('unzip '+file_name,shell=True)\n",
        "\n",
        "def jp2_to_tif(input_file,output_file):\n",
        "  subprocess.call('gdal_translate ' +input_file+' '+output_file,shell=True)\n",
        "\n",
        "def clip_ref_scene(input_file,output_file):\n",
        "  data=gdal.Open(input_file,GA_ReadOnly) \n",
        "  geoTransform=data.GetGeoTransform() \n",
        "  minx=geoTransform[0] \n",
        "  maxy=geoTransform[3] \n",
        "  maxx = minx + geoTransform[1] * data.RasterXSize \n",
        "  miny = maxy + geoTransform[5] * data.RasterYSize \n",
        "  subprocess.call('gdal_translate -projwin ' + ' '.join([str(x) for x in [minx, maxy, maxx, miny]]) + ' -of GTiff europe.tif ' +output_file, shell=True) \n",
        "\n",
        "def resize_scene(input_file,output_file):\n",
        "  subprocess.call('gdal_translate -co QUALITY=100 -co PROGRESSIVE=ON -outsize '+str(IMG_SIZE)+' '+str(IMG_SIZE)+' -r bilinear '+input_file+' '+output_file,shell=True)\n",
        "\n",
        "def create_new_tif(sourceraster, targetraster,array2d,nbands):\n",
        "  with rasterio.open(sourceraster) as src:\n",
        "    data = src.read()\n",
        "    metadata = src.profile\n",
        "  metadata['count']=nbands\n",
        "  with rasterio.open(targetraster, 'w', **metadata) as dst:\n",
        "    dst.write(array2d, 1)\n",
        "    print('New tif created')\n",
        "\n",
        "def resize_scene_custom_size(input_file,output_file,xsize,ysize):\n",
        "  subprocess.call('gdal_translate -co QUALITY=100 -co PROGRESSIVE=ON -outsize '+str(xsize)+' '+str(ysize)+' '+input_file+' '+output_file,shell=True)\n",
        "\n",
        "def change_pixel_size(inputfile,outputfile,pixelsize):\n",
        "  subprocess.call('gdalwarp -tr '+ str(pixelsize)+' '+str(pixelsize)+' '+inputfile+' '+outputfile,shell=True)\n",
        "\n",
        "def change_coordinate_system(inputfile,outputfile):\n",
        "  subprocess.run(['gdalwarp','-co','COMPRESS=DEFLATE','-t_srs',COORDINATE_SYSTEM,inputfile,outputfile])\n",
        "\n",
        "def clip_ref_scene_pop(input_file,output_file):\n",
        "  data=gdal.Open(input_file,GA_ReadOnly) \n",
        "  geoTransform=data.GetGeoTransform() \n",
        "  minx=geoTransform[0] \n",
        "  maxy=geoTransform[3] \n",
        "  maxx = minx + geoTransform[1] * data.RasterXSize \n",
        "  miny = maxy + geoTransform[5] * data.RasterYSize \n",
        "  subprocess.call('gdal_translate -projwin ' + ' '.join([str(x) for x in [minx, maxy, maxx, miny]]) + ' -of GTiff world-population.tif ' +output_file, shell=True) "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wNm3vAoqGJ3w",
        "colab_type": "code",
        "outputId": "fb989560-7f89-4e8c-cd72-8b7b01b6e3c8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        }
      },
      "source": [
        "download_scene('cbb628b9-8399-4a24-aaeb-b5d5bdc49be0')\n",
        "unzip_scene('/content/S2A_MSIL1C_20190926T105811_N0208_R094_T30TVK_20190926T130550.zip')\n",
        "jp2_to_tif('/content/S2A_MSIL1C_20190926T105811_N0208_R094_T30TVK_20190926T130550.SAFE/GRANULE/L1C_T30TVK_A022256_20190926T110642/IMG_DATA/T30TVK_20190926T105811_TCI.jp2','test-full-temp.tif')\n",
        "change_coordinate_system('test-full-temp.tif','test-full.tif')\n",
        "clip_ref_scene('test-full.tif','test-y-temp.tif')\n",
        "resize_scene('test-y-temp.tif','test-y.tif')\n",
        "resize_scene('test-full.tif','test.tif')\n",
        "jp2_to_tif('/content/S2A_MSIL1C_20190926T105811_N0208_R094_T30TVK_20190926T130550.SAFE/GRANULE/L1C_T30TVK_A022256_20190926T110642/IMG_DATA/T30TVK_20190926T105811_B08.jp2','test-b8-full-temp.tif')\n",
        "change_coordinate_system('test-b8-full-temp.tif','test-b8-full.tif')\n",
        "clip_ref_scene('test-b8-full.tif','test-b8-y-temp.tif')\n",
        "resize_scene('test-b8-y-temp.tif','test-b8-y.tif')\n",
        "resize_scene('test-b8-full.tif','test-b8.tif')\n"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading: 100%|██████████| 900M/900M [00:31<00:00, 28.1MB/s]\n",
            "MD5 checksumming: 100%|██████████| 900M/900M [00:02<00:00, 439MB/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eZKaYtiJnqQs",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        },
        "outputId": "e504a4ee-de3a-4ad3-b2cb-a68735fe1c6e"
      },
      "source": [
        "download_scene('742eb824-df10-4402-866e-0d92e8575aa4')\n",
        "unzip_scene('/content/S2A_MSIL1C_20190723T101031_N0208_R022_T32TQQ_20190723T121220.zip')\n",
        "jp2_to_tif('/content/S2A_MSIL1C_20190723T101031_N0208_R022_T32TQQ_20190723T121220.SAFE/GRANULE/L1C_T32TQQ_A021326_20190723T101347/IMG_DATA/T32TQQ_20190723T101031_TCI.jp2','test-full-temp.tif')\n",
        "change_coordinate_system('test-full-temp.tif','test-full.tif')\n",
        "clip_ref_scene('test-full.tif','test-y-temp.tif')\n",
        "resize_scene('test-y-temp.tif','test-y.tif')\n",
        "resize_scene('test-full.tif','test.tif')\n",
        "jp2_to_tif('/content/S2A_MSIL1C_20190723T101031_N0208_R022_T32TQQ_20190723T121220.SAFE/GRANULE/L1C_T32TQQ_A021326_20190723T101347/IMG_DATA/T32TQQ_20190723T101031_B08.jp2','test-b8-full-temp.tif')\n",
        "change_coordinate_system('test-b8-full-temp.tif','test-b8-full.tif')\n",
        "clip_ref_scene('test-b8-full.tif','test-b8-y-temp.tif')\n",
        "resize_scene('test-b8-y-temp.tif','test-b8-y.tif')\n",
        "resize_scene('test-b8-full.tif','test-b8.tif')"
      ],
      "execution_count": 134,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading: 100%|██████████| 757M/757M [00:26<00:00, 29.2MB/s]\n",
            "MD5 checksumming: 100%|██████████| 757M/757M [00:01<00:00, 434MB/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "jPMzARDeN1pE"
      },
      "source": [
        "**DOWNLOAD GPW DATA**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "t_oZDcf9N1pI",
        "outputId": "7fd6f25f-3ac0-43a8-bb05-0cd5e951394a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 67
        }
      },
      "source": [
        "!unzip '/content/drive/My Drive/Colab_Notebooks/gpw-v4-population-count-rev11_2015_30_sec_tif.zip'\n",
        "change_coordinate_system('/content/gpw_v4_population_count_rev11_2015_30_sec.tif','world-population.tif')\n",
        "# clip_ref_scene_pop('test-full.tif','test-pop-full.tif')\n",
        "# resize_scene('test-pop-full.tif','test-pop.tif')"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Archive:  /content/drive/My Drive/Colab_Notebooks/gpw-v4-population-count-rev11_2015_30_sec_tif.zip\n",
            "  inflating: gpw_v4_population_count_rev11_2015_30_sec.tif  \n",
            "  inflating: gpw_v4_population_count_rev11_2015_30_sec_tif_readme.txt  \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ltZFj9WoNM6B",
        "colab_type": "code",
        "outputId": "8339029c-8899-42b8-85f3-e3efcd2ffbc5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        }
      },
      "source": [
        "download_scene('4f07815d-5709-4b0b-8fdd-7e12c78e6546')\n",
        "unzip_scene('S2A_MSIL1C_20190629T103031_N0207_R108_T32UMV_20190629T124358.zip')\n",
        "jp2_to_tif('/content/S2A_MSIL1C_20190629T103031_N0207_R108_T32UMV_20190629T124358.SAFE/GRANULE/L1C_T32UMV_A020983_20190629T103537/IMG_DATA/T32UMV_20190629T103031_TCI.jp2','s1-full0.tif')\n",
        "change_coordinate_system('s1-full0.tif','s1-full.tif')\n",
        "clip_ref_scene('s1-full.tif','s1-y-temp.tif')\n",
        "resize_scene('s1-y-temp.tif','s1-y.tif')\n",
        "resize_scene('s1-full.tif','s1.tif')\n",
        "jp2_to_tif('/content/S2A_MSIL1C_20190629T103031_N0207_R108_T32UMV_20190629T124358.SAFE/GRANULE/L1C_T32UMV_A020983_20190629T103537/IMG_DATA/T32UMV_20190629T103031_B08.jp2','s1-b8-full0.tif')\n",
        "change_coordinate_system('s1-b8-full0.tif','s1-b8-full.tif')\n",
        "clip_ref_scene('s1-b8-full.tif','s1-b8-y-temp.tif')\n",
        "resize_scene('s1-b8-y-temp.tif','s1-b8-y.tif')\n",
        "resize_scene('s1-b8-full.tif','s1-b8.tif')"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading: 100%|██████████| 854M/854M [00:30<00:00, 27.7MB/s]\n",
            "MD5 checksumming: 100%|██████████| 854M/854M [00:01<00:00, 441MB/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_aXVnyDdPP5_",
        "colab_type": "code",
        "outputId": "31e34e69-eadc-40d1-c9c8-43532c881d62",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        }
      },
      "source": [
        "download_scene('03cf3314-1b05-46f1-af1b-cee2652edf2b')\n",
        "unzip_scene('S2B_MSIL1C_20190724T103029_N0208_R108_T32UMV_20190724T122822.zip')\n",
        "jp2_to_tif('/content/S2B_MSIL1C_20190724T103029_N0208_R108_T32UMV_20190724T122822.SAFE/GRANULE/L1C_T32UMV_A012432_20190724T103030/IMG_DATA/T32UMV_20190724T103029_TCI.jp2','s2-full0.tif')\n",
        "change_coordinate_system('s2-full0.tif','s2-full.tif')\n",
        "clip_ref_scene('s2-full.tif','s2-y-temp.tif')\n",
        "resize_scene('s2-y-temp.tif','s2-y.tif')\n",
        "resize_scene('s2-full.tif','s2.tif')\n",
        "jp2_to_tif('/content/S2B_MSIL1C_20190724T103029_N0208_R108_T32UMV_20190724T122822.SAFE/GRANULE/L1C_T32UMV_A012432_20190724T103030/IMG_DATA/T32UMV_20190724T103029_B08.jp2','s2-b8-full0.tif')\n",
        "change_coordinate_system('s2-b8-full0.tif','s2-b8-full.tif')\n",
        "clip_ref_scene('s2-b8-full.tif','s2-b8-y-temp.tif')\n",
        "resize_scene('s2-b8-y-temp.tif','s2-b8-y.tif')\n",
        "resize_scene('s2-b8-full.tif','s2-b8.tif')"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading: 100%|██████████| 840M/840M [00:36<00:00, 23.3MB/s]\n",
            "MD5 checksumming: 100%|██████████| 840M/840M [00:01<00:00, 442MB/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "theSLX7TCzWm",
        "colab_type": "code",
        "outputId": "3b6d0f77-0ae4-4aad-f3a4-633c6a1ea7a5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        }
      },
      "source": [
        "download_scene('67a87302-2ff4-4c81-9e5e-792367578f6d')\n",
        "unzip_scene('S2B_MSIL1C_20190921T105739_N0208_R094_T30UYC_20190921T131721.zip')\n",
        "jp2_to_tif('/content/S2B_MSIL1C_20190921T105739_N0208_R094_T30UYC_20190921T131721.SAFE/GRANULE/L1C_T30UYC_A013276_20190921T110218/IMG_DATA/T30UYC_20190921T105739_TCI.jp2','s3-full-temp.tif')\n",
        "change_coordinate_system('s3-full-temp.tif','s3-full.tif')\n",
        "clip_ref_scene('s3-full.tif','s3-y-temp.tif')\n",
        "resize_scene('s3-y-temp.tif','s3-y.tif')\n",
        "resize_scene('s3-full.tif','s3.tif')\n",
        "jp2_to_tif('/content/S2B_MSIL1C_20190921T105739_N0208_R094_T30UYC_20190921T131721.SAFE/GRANULE/L1C_T30UYC_A013276_20190921T110218/IMG_DATA/T30UYC_20190921T105739_B08.jp2','s3-b8-full-temp.tif')\n",
        "change_coordinate_system('s3-b8-full-temp.tif','s3-b8-full.tif')\n",
        "clip_ref_scene('s3-b8-full.tif','s3-b8-y-temp.tif')\n",
        "resize_scene('s3-b8-y-temp.tif','s3-b8-y.tif')\n",
        "resize_scene('s3-b8-full.tif','s3-b8.tif')"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading: 100%|██████████| 818M/818M [00:28<00:00, 28.4MB/s]\n",
            "MD5 checksumming: 100%|██████████| 818M/818M [00:01<00:00, 437MB/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZQxGlIB8I14v",
        "colab_type": "code",
        "outputId": "740bfa04-df54-45b2-c2ae-07c0498b2a19",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        }
      },
      "source": [
        "download_scene('c04d2ba0-4880-4dcf-a733-879231478aa3')\n",
        "unzip_scene('S2B_MSIL1C_20190724T103029_N0208_R108_T31TGN_20190724T122822.zip')\n",
        "jp2_to_tif('/content/S2B_MSIL1C_20190724T103029_N0208_R108_T31TGN_20190724T122822.SAFE/GRANULE/L1C_T31TGN_A012432_20190724T103030/IMG_DATA/T31TGN_20190724T103029_TCI.jp2','s4-full-temp.tif')\n",
        "change_coordinate_system('s4-full-temp.tif','s4-full.tif')\n",
        "clip_ref_scene('s4-full.tif','s4-y-temp.tif')\n",
        "resize_scene('s4-y-temp.tif','s4-y.tif')\n",
        "resize_scene('s4-full.tif','s4.tif')\n",
        "jp2_to_tif('/content/S2B_MSIL1C_20190724T103029_N0208_R108_T31TGN_20190724T122822.SAFE/GRANULE/L1C_T31TGN_A012432_20190724T103030/IMG_DATA/T31TGN_20190724T103029_B08.jp2','s4-b8-full-temp.tif')\n",
        "change_coordinate_system('s4-b8-full-temp.tif','s4-b8-full.tif')\n",
        "clip_ref_scene('s4-b8-full.tif','s4-b8-y-temp.tif')\n",
        "resize_scene('s4-b8-y-temp.tif','s4-b8-y.tif')\n",
        "resize_scene('s4-b8-full.tif','s4-b8.tif')"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading: 100%|██████████| 824M/824M [00:29<00:00, 28.3MB/s]\n",
            "MD5 checksumming: 100%|██████████| 824M/824M [00:01<00:00, 442MB/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eIxGrcIFQYar",
        "colab_type": "code",
        "outputId": "efe33d00-0f23-408e-d426-5338b7e38ef3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        }
      },
      "source": [
        "download_scene('4557d038-7f7e-4356-b410-5c6e7d741e7f')\n",
        "unzip_scene('/content/S2A_MSIL1C_20190904T102021_N0208_R065_T32TNT_20190904T123501.zip')\n",
        "jp2_to_tif('/content/S2A_MSIL1C_20190904T102021_N0208_R065_T32TNT_20190904T123501.SAFE/GRANULE/L1C_T32TNT_A021941_20190904T102045/IMG_DATA/T32TNT_20190904T102021_TCI.jp2','s5-full0.tif')\n",
        "change_coordinate_system('s5-full0.tif','s5-full.tif')\n",
        "clip_ref_scene('s5-full.tif','s5-y-temp.tif')\n",
        "resize_scene('s5-y-temp.tif','s5-y.tif')\n",
        "resize_scene('s5-full.tif','s5.tif')\n",
        "jp2_to_tif('/content/S2A_MSIL1C_20190904T102021_N0208_R065_T32TNT_20190904T123501.SAFE/GRANULE/L1C_T32TNT_A021941_20190904T102045/IMG_DATA/T32TNT_20190904T102021_B08.jp2','s5-b8-full0.tif')\n",
        "change_coordinate_system('s5-b8-full0.tif','s5-b8-full.tif')\n",
        "clip_ref_scene('s5-b8-full.tif','s5-b8-y-temp.tif')\n",
        "resize_scene('s5-b8-y-temp.tif','s5-b8-y.tif')\n",
        "resize_scene('s5-b8-full.tif','s5-b8.tif')"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading: 100%|██████████| 847M/847M [00:30<00:00, 28.2MB/s]\n",
            "MD5 checksumming: 100%|██████████| 847M/847M [00:01<00:00, 439MB/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Nk8gd31NQYeh",
        "colab_type": "code",
        "outputId": "e7312403-a4a5-485c-a636-d03f180b068b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        }
      },
      "source": [
        "download_scene('336a6ef0-784a-4a90-8333-02ed7ae93b85')\n",
        "unzip_scene('/content/S2B_MSIL1C_20190913T100029_N0208_R122_T33TVJ_20190913T134222.zip')\n",
        "jp2_to_tif('/content/S2B_MSIL1C_20190913T100029_N0208_R122_T33TVJ_20190913T134222.SAFE/GRANULE/L1C_T33TVJ_A013161_20190913T100548/IMG_DATA/T33TVJ_20190913T100029_TCI.jp2','s6-full-temp.tif')\n",
        "change_coordinate_system('s6-full-temp.tif','s6-full.tif')\n",
        "clip_ref_scene('s6-full.tif','s6-y-temp.tif')\n",
        "resize_scene('s6-y-temp.tif','s6-y.tif')\n",
        "resize_scene('s6-full.tif','s6.tif')\n",
        "jp2_to_tif('/content/S2B_MSIL1C_20190913T100029_N0208_R122_T33TVJ_20190913T134222.SAFE/GRANULE/L1C_T33TVJ_A013161_20190913T100548/IMG_DATA/T33TVJ_20190913T100029_B08.jp2','s6-b8-full-temp.tif')\n",
        "change_coordinate_system('s6-b8-full-temp.tif','s6-b8-full.tif')\n",
        "clip_ref_scene('s6-b8-full.tif','s6-b8-y-temp.tif')\n",
        "resize_scene('s6-b8-y-temp.tif','s6-b8-y.tif')\n",
        "resize_scene('s6-b8-full.tif','s6-b8.tif')"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading: 100%|██████████| 555M/555M [00:19<00:00, 28.1MB/s]\n",
            "MD5 checksumming: 100%|██████████| 555M/555M [00:01<00:00, 429MB/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mmGBNaUol3r-",
        "colab_type": "code",
        "outputId": "2cda644b-f65c-40c9-f79a-6c943313ff7b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        }
      },
      "source": [
        "download_scene('e27091e1-9c59-4326-8b3f-2dfd81d99c65')\n",
        "unzip_scene('/content/S2A_MSIL1C_20190922T094031_N0208_R036_T34TCT_20190922T101504.zip')\n",
        "jp2_to_tif('/content/S2A_MSIL1C_20190922T094031_N0208_R036_T34TCT_20190922T101504.SAFE/GRANULE/L1C_T34TCT_A022198_20190922T094031/IMG_DATA/T34TCT_20190922T094031_TCI.jp2','s7-full-temp.tif')\n",
        "change_coordinate_system('s7-full-temp.tif','s7-full.tif')\n",
        "clip_ref_scene('s7-full.tif','s7-y-temp.tif')\n",
        "resize_scene('s7-y-temp.tif','s7-y.tif')\n",
        "resize_scene('s7-full.tif','s7.tif')\n",
        "jp2_to_tif('/content/S2A_MSIL1C_20190922T094031_N0208_R036_T34TCT_20190922T101504.SAFE/GRANULE/L1C_T34TCT_A022198_20190922T094031/IMG_DATA/T34TCT_20190922T094031_B08.jp2','s7-b8-full-temp.tif')\n",
        "change_coordinate_system('s7-b8-full-temp.tif','s7-b8-full.tif')\n",
        "clip_ref_scene('s7-b8-full.tif','s7-b8-y-temp.tif')\n",
        "resize_scene('s7-b8-y-temp.tif','s7-b8-y.tif')\n",
        "resize_scene('s7-b8-full.tif','s7-b8.tif')"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading: 100%|██████████| 839M/839M [00:30<00:00, 27.5MB/s]\n",
            "MD5 checksumming: 100%|██████████| 839M/839M [00:01<00:00, 439MB/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ixJUkrMgcU8L",
        "colab_type": "text"
      },
      "source": [
        "**VISUALIZE TEST SET - PORTO VIRO REGION - ITALY**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D5VzCQizzh_7",
        "colab_type": "code",
        "outputId": "0b104cb3-5176-4408-9c03-e8fd4a375677",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        }
      },
      "source": [
        "dataset = rasterio.open('test.tif')\n",
        "show(dataset.read([1,2,3]))"
      ],
      "execution_count": 214,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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5KrGEzcGIf/X6m/z9Lz3J0kyZKyOfW6OI7jhCpClhqigYkv444kK9QW8c8itn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\n3DfmimOOOea4b/w/pnYri6+2kiUAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f8b954a4978>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 214
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i__Huo409P2W",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "tif1=gdal.Open('s1.tif')\n",
        "s1r = tif1.GetRasterBand(1).ReadAsArray()\n",
        "s1g = tif1.GetRasterBand(2).ReadAsArray()\n",
        "s1b = tif1.GetRasterBand(3).ReadAsArray()\n",
        "tif1=gdal.Open('s1-b8.tif')\n",
        "s1b8=tif1.GetRasterBand(1).ReadAsArray()\n",
        "\n",
        "tif1=gdal.Open('s2.tif')\n",
        "s2r = tif1.GetRasterBand(1).ReadAsArray()\n",
        "s2g = tif1.GetRasterBand(2).ReadAsArray()\n",
        "s2b = tif1.GetRasterBand(3).ReadAsArray()\n",
        "tif1=gdal.Open('s2-b8.tif')\n",
        "s2b8=tif1.GetRasterBand(1).ReadAsArray()\n",
        "\n",
        "tif1=gdal.Open('s3.tif')\n",
        "s3r = tif1.GetRasterBand(1).ReadAsArray()\n",
        "s3g = tif1.GetRasterBand(2).ReadAsArray()\n",
        "s3b = tif1.GetRasterBand(3).ReadAsArray()\n",
        "tif1=gdal.Open('s3-b8.tif')\n",
        "s3b8=tif1.GetRasterBand(1).ReadAsArray()\n",
        "\n",
        "tif1=gdal.Open('s4.tif')\n",
        "s4r = tif1.GetRasterBand(1).ReadAsArray()\n",
        "s4g = tif1.GetRasterBand(2).ReadAsArray()\n",
        "s4b = tif1.GetRasterBand(3).ReadAsArray()\n",
        "tif1=gdal.Open('s4-b8.tif')\n",
        "s4b8=tif1.GetRasterBand(1).ReadAsArray()\n",
        "\n",
        "tif1=gdal.Open('s5.tif')\n",
        "s5r = tif1.GetRasterBand(1).ReadAsArray()\n",
        "s5g = tif1.GetRasterBand(2).ReadAsArray()\n",
        "s5b = tif1.GetRasterBand(3).ReadAsArray()\n",
        "tif1=gdal.Open('s5-b8.tif')\n",
        "s5b8=tif1.GetRasterBand(1).ReadAsArray()\n",
        "\n",
        "tif1=gdal.Open('s6.tif')\n",
        "s6r = tif1.GetRasterBand(1).ReadAsArray()\n",
        "s6g = tif1.GetRasterBand(2).ReadAsArray()\n",
        "s6b = tif1.GetRasterBand(3).ReadAsArray()\n",
        "tif1=gdal.Open('s6-b8.tif')\n",
        "s6b8=tif1.GetRasterBand(1).ReadAsArray()\n",
        "\n",
        "tif1=gdal.Open('s7.tif')\n",
        "s7r = tif1.GetRasterBand(1).ReadAsArray()\n",
        "s7g = tif1.GetRasterBand(2).ReadAsArray()\n",
        "s7b = tif1.GetRasterBand(3).ReadAsArray()\n",
        "tif1=gdal.Open('s7-b8.tif')\n",
        "s7b8=tif1.GetRasterBand(1).ReadAsArray()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UeXgX8gGJ1zr",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "tif2=gdal.Open('test-y.tif')\n",
        "Y_raster_test= tif2.GetRasterBand(1).ReadAsArray()\n",
        "Y_raster_test[Y_raster_test < 100] = 999\n",
        "Y_raster_test[(Y_raster_test > 100)&(Y_raster_test <= 150)] = 0\n",
        "Y_raster_test[(Y_raster_test > 150) & (Y_raster_test < 450)] = 125\n",
        "Y_raster_test[(Y_raster_test >= 450) & (Y_raster_test < 530)] = 255\n",
        "Y_raster_test[Y_raster_test > 530] = 255"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PgbzHx-TZnCq",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Y_list=[]\n",
        "for i in range(1,8):\n",
        "    tif2=gdal.Open('s'+str(i)+'-y.tif')\n",
        "    Y_raster_s1 = tif2.GetRasterBand(1).ReadAsArray()\n",
        "    Y_raster_s1[Y_raster_s1 < 100] = 999\n",
        "    Y_raster_s1[(Y_raster_s1 > 100)&(Y_raster_s1 <= 150)] = 0\n",
        "    Y_raster_s1[(Y_raster_s1 > 150) & (Y_raster_s1 < 450)] = 125\n",
        "    Y_raster_s1[(Y_raster_s1 >= 450) & (Y_raster_s1 < 530)] = 255\n",
        "    Y_raster_s1[Y_raster_s1 > 530] = 255\n",
        "    Y_list=Y_list+(Y_raster_s1.flatten().tolist())"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Fje5-W0HDzrv",
        "colab_type": "code",
        "outputId": "b8cc6a70-c334-4018-a92b-5bb941c5d99e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "print(np.unique(Y_list))"
      ],
      "execution_count": 141,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[  0 125 255]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eQz8Q81IEHjN",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#CONVERT RGB BANDS AS INPUT FEATURE SEQUENCES\n",
        "#QUANTIZATION\n",
        "\n",
        "rband_list=s1r.flatten().tolist()\n",
        "rband_list=rband_list+(s2r.flatten().tolist())\n",
        "rband_list=rband_list+(s3r.flatten().tolist())\n",
        "rband_list=rband_list+(s4r.flatten().tolist())\n",
        "rband_list=rband_list+(s5r.flatten().tolist())\n",
        "rband_list=rband_list+(s6r.flatten().tolist())\n",
        "rband_list=rband_list+(s7r.flatten().tolist())\n",
        "\n",
        "gband_list=s1g.flatten().tolist()\n",
        "gband_list=gband_list+(s2g.flatten().tolist())\n",
        "gband_list=gband_list+(s3g.flatten().tolist())\n",
        "gband_list=gband_list+(s4g.flatten().tolist())\n",
        "gband_list=gband_list+(s5g.flatten().tolist())\n",
        "gband_list=gband_list+(s6g.flatten().tolist())\n",
        "gband_list=gband_list+(s7g.flatten().tolist())\n",
        "\n",
        "bband_list=s1b.flatten().tolist()\n",
        "bband_list=bband_list+(s2b.flatten().tolist())\n",
        "bband_list=bband_list+(s3b.flatten().tolist())\n",
        "bband_list=bband_list+(s4b.flatten().tolist())\n",
        "bband_list=bband_list+(s5b.flatten().tolist())\n",
        "bband_list=bband_list+(s6b.flatten().tolist())\n",
        "bband_list=bband_list+(s7b.flatten().tolist())\n",
        "\n",
        "band8_list=s1b8.flatten().tolist()\n",
        "band8_list=band8_list+(s2b8.flatten().tolist())\n",
        "band8_list=band8_list+(s3b8.flatten().tolist())\n",
        "band8_list=band8_list+(s4b8.flatten().tolist())\n",
        "band8_list=band8_list+(s5b8.flatten().tolist())\n",
        "band8_list=band8_list+(s6b8.flatten().tolist())\n",
        "band8_list=band8_list+(s7b8.flatten().tolist())\n",
        "\n",
        "q1=max(rband_list)/16\n",
        "q2=max(gband_list)/16\n",
        "q3=max(bband_list)/16\n",
        "q4=max(band8_list)/16\n",
        "\n",
        "rband_list = [round(math.floor(x+0.5)/q1) for x in rband_list]\n",
        "gband_list = [round(math.floor(x+0.5)/q2) for x in gband_list]\n",
        "bband_list = [round(math.floor(x+0.5)/q3) for x in bband_list]\n",
        "band8_list = [round(math.floor(x+0.5)/q4) for x in band8_list]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iyaKFSYjTXGE",
        "colab_type": "code",
        "outputId": "c6322c3f-573c-4f6c-b3b2-0d5503c66e4b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "print(len(rband_list))"
      ],
      "execution_count": 143,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "7440727\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "G6x9yhlajJ8M",
        "colab_type": "text"
      },
      "source": [
        "***SEQUENCE LIST AND ANTECEDENT-CONSEQUENT LIST(X->Y)***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZsgmJ8Kew52V",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "sequences_list=[]\n",
        "ante_consq_list=[]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mgDj_gvvthgO",
        "colab_type": "code",
        "outputId": "7bff760c-0ea5-485c-df58-9edf2fd68c09",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 82,
          "referenced_widgets": [
            "ee3012354f0f41e6985e655ebcc1af48",
            "db439c8ab8744bf1857eeb29346b4822",
            "ac1a029162a6494ea84f4d6214ee4db5",
            "db300c1790694d25b907a699bcf268e7",
            "35ea35b4cb92483294844675c6d9bb8a",
            "a410b0c7cdd1480b8625faf7cbc71a29",
            "ff4957ab71304b0b8d4178bd093f5beb",
            "7f8d8799d5ef4289b3f212f976fd728a"
          ]
        }
      },
      "source": [
        "for i in tqdm(range(len(rband_list))):\n",
        "  sequences_list.append((rband_list[i],gband_list[i],bband_list[i],band8_list[i]))\n",
        "  ante_consq_list.append((rband_list[i],gband_list[i],bband_list[i],band8_list[i],Y_list[i]))\n",
        "\n",
        "print('BUILDING DATA DONE')\n"
      ],
      "execution_count": 145,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "ee3012354f0f41e6985e655ebcc1af48",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, max=7440727), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "BUILDING DATA DONE\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iCVRyjESjwwL",
        "colab_type": "text"
      },
      "source": [
        "***RANDOM EXAMPLE - DATA STRUCTURE (R, G, B, B8, CLASS_LABEL)***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HrJF9PIIthju",
        "colab_type": "code",
        "outputId": "6576f1de-1d44-4129-866f-91b5b8b83153",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "print ((ante_consq_list[600]))"
      ],
      "execution_count": 146,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(2, 3, 4, 3, 125)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "O843PnPQj9p_",
        "colab_type": "text"
      },
      "source": [
        "***FIND UNIQUE SEQUENCES(X-cap) AND COUNT***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W32qBvF1thnU",
        "colab_type": "code",
        "outputId": "53971a82-d3a4-43f6-91cf-39f08cae7989",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        }
      },
      "source": [
        "print('UNIQUE SEQUENCES COUNT: ')\n",
        "print(len(list(set(sequences_list))))\n",
        "unique_X_sequences=list(set(sequences_list))"
      ],
      "execution_count": 147,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "UNIQUE SEQUENCES COUNT: \n",
            "862\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6u71bdBBsWU9",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9tfHuR7ckert",
        "colab_type": "text"
      },
      "source": [
        "***STEP 2:***\n",
        "\n",
        "*   ***ASSOCIATION ANALYSIS***\n",
        "*   ***EVIDENCE BASED NORMALIZED DIFFERENTIAL INDEX(ENDI) MEASURE***\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CDwyOG-sluFT",
        "colab_type": "text"
      },
      "source": [
        "***HELPER FUNCTIONS:***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PBmN7nsvxTGb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#ONE VARIATION OF ENDI INTERESTINGNESS MEASURE\n",
        "def calculate_ENDI(positive,negative):\n",
        "  if (positive==0) and (negative==0) : return 0\n",
        "  return (positive-negative)/(positive+negative)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Q5DdKX6Z51Jm",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#POSITIVE EVIDENCES\n",
        "def positive_count(sequence,class_name):\n",
        "  item = list(sequence)\n",
        "  item.append(class_name)\n",
        "  c=counter[tuple(item)]\n",
        "  return c\n",
        "\n",
        "#NEGATIVE EVIDENCES\n",
        "def negative_count(sequence, class_list):\n",
        "  negative_classcount=0\n",
        "  for c in  class_list:\n",
        "    item = list(sequence)\n",
        "    item.append(c)\n",
        "    negative_classcount=negative_classcount+counter[tuple(item)]\n",
        "\n",
        "  return negative_classcount"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GqVeHx5El9b7",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#COUNT FREQUENCIES OF EACH UNIQUE SEQUENCE\n",
        "counter=Counter(ante_consq_list)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N6c40R8gtgYA",
        "colab_type": "text"
      },
      "source": [
        "***CALCULATE ENDI MEASURE FOR ALL THE CLASSES PER SEQUENCE DATA***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BHa17NbP4P6R",
        "colab_type": "code",
        "outputId": "947a1a0b-178b-4bdb-9f10-e1d67d3f6dac",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 82,
          "referenced_widgets": [
            "704f4d12a25a41a1a98195c509be1514",
            "e486a5f949f64f338efa889737659655",
            "9a5cf7a2f3f44ffeacee2be04face678",
            "34656eb7e2ba4c0cba7e41e3a1aadb1c",
            "dae19f89f9d443d4bc36a57d682ba58d",
            "04bcdd98ebe3452ab8d1f3690e13fc9e",
            "5858ed062f2c4ea280d7a3d2b56e04aa",
            "b27f9eaa9399493f94d8b64ea7ebff35"
          ]
        }
      },
      "source": [
        "#GENERATE A DICTIONARY OF THE FORM : {(unique sequence) : [ENDI MEASURE-CLASS 0, ENDI MEASURE-CLASS 1]}\n",
        "ENDI_table_dictionary={}\n",
        "\n",
        "for i in tqdm(range(len(unique_X_sequences))):\n",
        "  seq=unique_X_sequences[i]\n",
        "  ENDI_class_0=calculate_ENDI(positive_count(seq,0),negative_count(seq,[125,255]))\n",
        "  ENDI_class_1=calculate_ENDI(positive_count(seq,125),negative_count(seq,[0,255]))\n",
        "  ENDI_class_2=calculate_ENDI(positive_count(seq,255),negative_count(seq,[0,125]))\n",
        "  ENDI_table_dictionary[seq]=[ENDI_class_0,ENDI_class_1,ENDI_class_2]\n",
        "\n",
        "print('BUILDING DICTIONARY DONE')\n",
        "\n",
        "#PRINT RANDOM DATA POINT\n",
        "#print(ENDI_table_dictionary[unique_X_sequences[5000]])\n"
      ],
      "execution_count": 151,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "704f4d12a25a41a1a98195c509be1514",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, max=862), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "BUILDING DICTIONARY DONE\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n84ur78SsZ-z",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "goD_JtMTtgo7",
        "colab_type": "text"
      },
      "source": [
        "***STEP 3 : CLASSIFICATION AND VISUALIZATION***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8kntNAM6gcPn",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def classification(file_name,band8filename):\n",
        "          new_image=gdal.Open(file_name)\n",
        "          rband_new = new_image.GetRasterBand(1).ReadAsArray()\n",
        "          gband_new = new_image.GetRasterBand(2).ReadAsArray()\n",
        "          bband_new = new_image.GetRasterBand(3).ReadAsArray()\n",
        "          tif1=gdal.Open(band8filename)\n",
        "          band8_new=tif1.GetRasterBand(1).ReadAsArray()\n",
        "\n",
        "          rband_list_new=rband_new.flatten().tolist()\n",
        "          gband_list_new=gband_new.flatten().tolist()\n",
        "          bband_list_new=bband_new.flatten().tolist()\n",
        "          band8_list_new=band8_new.flatten().tolist()\n",
        "\n",
        "          q1=max(rband_list_new)/16\n",
        "          q2=max(gband_list_new)/16\n",
        "          q3=max(bband_list_new)/16\n",
        "          q4=max(band8_list_new)/16\n",
        "\n",
        "          rband_list_new = [round(math.floor(x+0.5)/q1) for x in rband_list_new]\n",
        "          gband_list_new = [round(math.floor(x+0.5)/q2) for x in gband_list_new]\n",
        "          bband_list_new = [round(math.floor(x+0.5)/q3) for x in bband_list_new]\n",
        "          band8_list_new = [round(math.floor(x+0.5)/q4) for x in band8_list_new]\n",
        "\n",
        "\n",
        "          final_pred_list=[]\n",
        "          final_confidence_list=[]\n",
        "\n",
        "          for i in tqdm(range(len(rband_list_new))):\n",
        "\n",
        "            if ((rband_list_new[i],gband_list_new[i],bband_list_new[i],band8_list_new[i])) in ENDI_table_dictionary:\n",
        "                  ENDI_vals=ENDI_table_dictionary[(rband_list_new[i],gband_list_new[i],bband_list_new[i],band8_list_new[i])]\n",
        "                  max_val = max(ENDI_vals)\n",
        "                  if max_val >= 0.5:\n",
        "                        index_max = ENDI_vals.index(max_val)\n",
        "                        final_pred_list.append(index_max)\n",
        "                        final_confidence_list.append(ENDI_vals[0]) \n",
        "                  else :\n",
        "                        final_pred_list.append(1)\n",
        "                        final_confidence_list.append(ENDI_vals[0])\n",
        "\n",
        "            else:\n",
        "              final_pred_list.append(1)\n",
        "              final_confidence_list.append(-1)\n",
        "\n",
        "          final_confidence_list_scaled = minmax_scale(final_confidence_list, feature_range=(0,100))\n",
        "          return final_pred_list,final_confidence_list_scaled"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wq6E1HhJhfi2",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def visualization(any_list,xsize,ysize,title,outputfile,colormap):\n",
        "  numpy_array=np.asarray(any_list,dtype='uint8')\n",
        "  #numpy_array[numpy_array == 1] = 125\n",
        "  #numpy_array[numpy_array == 2] = 255\n",
        "  final_image_array=numpy_array.reshape((xsize,ysize))\n",
        "  fig, ax = plt.subplots()\n",
        "  ax.set_title(title)\n",
        "  img = ax.imshow(final_image_array,cmap=plt.get_cmap(colormap))\n",
        "  fig.colorbar(img, ax=ax)\n",
        "  fig.savefig(outputfile+'.png')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "72cxX4heaE5W",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def metrics(y_actual, y_pred_original):\n",
        "    numpy_array=np.asarray(y_pred_original)\n",
        "    numpy_array[numpy_array == 1] = 125\n",
        "    numpy_array[numpy_array == 2] = 255\n",
        "    y_pred=numpy_array.tolist()\n",
        "    class_id = set(y_actual).union(set(y_pred))\n",
        "    TP = []\n",
        "    FP = []\n",
        "    TN = []\n",
        "    FN = []\n",
        "\n",
        "    for index ,_id in enumerate(class_id):\n",
        "        TP.append(0)\n",
        "        FP.append(0)\n",
        "        TN.append(0)\n",
        "        FN.append(0)\n",
        "        for i in tqdm(range(len(y_pred))):\n",
        "            if y_actual[i] == y_pred[i] == _id:\n",
        "                TP[index] += 1\n",
        "            if y_pred[i] == _id and y_actual[i] != y_pred[i]:\n",
        "                FP[index] += 1\n",
        "            if y_actual[i] == y_pred[i] != _id:\n",
        "                TN[index] += 1\n",
        "            if y_pred[i] != _id and y_actual[i] != y_pred[i]:\n",
        "                FN[index] += 1\n",
        "\n",
        "\n",
        "    return class_id,TP, FP, TN, FN"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RqZ2C_ow04Ij",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JCK5RsYA05Ld",
        "colab_type": "text"
      },
      "source": [
        "**VISUALIZATION OF RESULTS AND METRICS - PORTO VIRO AREA(ITALY)**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iPhSuhjw1S5y",
        "colab_type": "text"
      },
      "source": [
        "1) MADRID CLASSIFICATION RESULTS"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3zzrNttfg4p-",
        "colab_type": "code",
        "outputId": "e4ce0d56-ad3b-43f8-f72e-7f027860d71d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66,
          "referenced_widgets": [
            "4c9fd76f15bd4411a12b9a86de2b0fc0",
            "8c93054dd53e4bc89ef2a7567ce3d60d",
            "124a5961a91f4837a3de749008302b73",
            "9144efc18b60402bbd482c1aaa569de1",
            "b2dff960e4864cddbeac1c6c791bbce6",
            "3f10ec561bc24981bf42236708820bc1",
            "18444ec547d9445fa3f2c61f78487b60",
            "cae28847372f44ae8085d1af74d0d3fa"
          ]
        }
      },
      "source": [
        "prediction_list,confidence_list=classification('test-full.tif','test-b8-full.tif')\n"
      ],
      "execution_count": 155,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "4c9fd76f15bd4411a12b9a86de2b0fc0",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, max=120560400), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Y5ryzwTEG5Sg",
        "colab_type": "code",
        "outputId": "05731eb4-43e9-4c13-cc81-6639e4c091d2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        }
      },
      "source": [
        "with rasterio.open('test-full.tif') as src:\n",
        "    prof = src.profile\n",
        "    print(prof)\n",
        "    BIG_X_SIZE=prof['width']\n",
        "    BIG_Y_SIZE=prof['height']"
      ],
      "execution_count": 157,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "{'driver': 'GTiff', 'dtype': 'uint8', 'nodata': None, 'width': 10980, 'height': 10980, 'count': 3, 'crs': CRS.from_epsg(32632), 'transform': Affine(10.0, 0.0, 699960.0,\n",
            "       0.0, -10.0, 5000040.0), 'tiled': False, 'compress': 'deflate', 'interleave': 'pixel'}\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JJYgfo6zWVj2",
        "colab_type": "code",
        "outputId": "c97a1673-0d15-4014-c2ce-a530c23d6804",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        }
      },
      "source": [
        "visualization(prediction_list,BIG_X_SIZE,BIG_Y_SIZE, 'Classification-Porto Viro Region, Italy','predictions-madrid',colormap='binary')"
      ],
      "execution_count": 213,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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tambnmdk5ZnZOjDcze5+ZvdLMXmNmyxL3nm9mM+Lx9TzldnHsI2XsZ2skgvWW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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lJSm-m30qk3a",
        "colab_type": "code",
        "outputId": "761c1757-eccd-499d-e6b3-85e9b4024ba3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        }
      },
      "source": [
        "visualization(confidence_list,BIG_X_SIZE,BIG_Y_SIZE,'Built up confidence-Porto Viro Region, Italy','confidence-madrid',colormap='gist_yarg')"
      ],
      "execution_count": 205,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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10dnZSSAQoLq6Wgcpenp6uHTpEi+88AIjIyMEg0H6+/tZuHAhPp8Pu93OkiVL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\nwxAhQoQAQjIMESJECAD+DzG5d1EDJkc5AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bobDQgnS23E_",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "create_new_tif('test-full.tif','prediction-raster.tif',np.asarray(prediction_list,dtype='uint8').reshape(BIG_X_SIZE,BIG_Y_SIZE),1)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OHo-PY9d7Vj3",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "create_new_tif('test-full.tif','confidence-raster.tif',np.asarray(confidence_list,dtype='uint8').reshape(BIG_X_SIZE,BIG_Y_SIZE),1)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NyyMSO6qWIod",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "change_pixel_size('confidence-raster.tif','ghsl-built-confidence-raster-30m.tif',30)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i5L4lKLiWImd",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "change_pixel_size('prediction-raster.tif','ghsl-built-prediction-raster-30m.tif',30)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "u2IRpMeZOQKp",
        "colab_type": "code",
        "outputId": "813dd185-2393-441f-a04f-15733832fb77",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        }
      },
      "source": [
        "with rasterio.open('ghsl-built-prediction-raster-30m.tif') as src:\n",
        "    metadata = src.profile\n",
        "new_x_size=metadata['width']\n",
        "new_y_size=metadata['height']\n",
        "\n",
        "metadata"
      ],
      "execution_count": 165,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'driver': 'GTiff', 'dtype': 'uint8', 'nodata': None, 'width': 3660, 'height': 3660, 'count': 1, 'crs': CRS.from_epsg(32632), 'transform': Affine(30.0, 0.0, 699960.0,\n",
              "       0.0, -30.0, 5000040.0), 'tiled': False, 'interleave': 'band'}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 165
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4-gn_XQ6WIXI",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "clip_ref_scene_pop('test-full.tif','test-pop-full.tif')\n",
        "resize_scene_custom_size('test-pop-full.tif','test-pop.tif',new_x_size,new_y_size)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H8YwFJ2lbXdk",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# m=metrics(Y_raster_test.flatten().tolist(),prediction_list)\n",
        "# unique, counts = np.unique(Y_raster_test.flatten().tolist(), return_counts=True)\n",
        "# for i in range(0,3):\n",
        "#   TP=m[1][i]\n",
        "#   FP=m[2][i]\n",
        "#   TN=m[3][i]\n",
        "#   FN=m[4][i]\n",
        "#   P=counts[i]\n",
        "#   N=len(Y_list)-P\n",
        "#   TPR=TP/P\n",
        "#   TNR=TN/N\n",
        "#   bal_measure = (TPR+TNR)/2\n",
        "#   inf_accuracy=TPR-TNR\n",
        "#   print('BALANCED ACCURACY FOR CLASS '+str(i)+\" is \"+ str(bal_measure))\n",
        "#   print('INFORMEDNESS FOR CLASS '+str(i)+\" is \"+str(inf_accuracy))\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "unQkKXcY1RAe",
        "colab_type": "text"
      },
      "source": [
        "2)ORIGINAL RGB IMAGE"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wCHf3Rrg0J5J",
        "colab_type": "code",
        "outputId": "31d5fd7f-af63-478f-f751-747177941ec9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        }
      },
      "source": [
        "dataset = rasterio.open('test-full.tif')\n",
        "show(dataset.read([1,2,3]))"
      ],
      "execution_count": 167,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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t9KVT/7qXLojQ0Q/tsR2sUf1A0FuP0mMnPdDpxDVA0PkhgCDoeh/tYoro5rwK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cfb+wRK4jshq4UstxazCBH1wvjxRpVSOsXdMwVyy1nOvrfDL/brPLI8z2t+h1p1yLHZMuu7dTwR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/O8e+smrSji3FyNoBwgDbR7EYcWCoz7CbVCgfsWa7y61SJxIS8dFgo1HpquYoSilPOo56r0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\n0EILZ42W4WihhRbOGi3D0UILLZw1/hsx9YFAQBMvHwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f8bb6d721d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 167
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kahuQs5RQke_",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Wi0eQgxbQc-Z",
        "colab_type": "text"
      },
      "source": [
        "# **GHS-POP**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S94YkUPYyfNP",
        "colab_type": "text"
      },
      "source": [
        "**USING DASYMMETRIC MAPPING ALGORITHM**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "V_x38xXZvfRw",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "pop1=gdal.Open('test-pop.tif')\n",
        "pop2d = pop1.GetRasterBand(1).ReadAsArray()\n",
        "pop2d[pop2d < 0] = 0\n",
        "pop1d=pop2d.flatten()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "snWgc0JnuVeh",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "a=gdal.Open('ghsl-built-confidence-raster-30m.tif')\n",
        "confidence_values_category=a.GetRasterBand(1).ReadAsArray().flatten()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KONCsYQIusBa",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "confidence_values_category[confidence_values_category<30]=0\n",
        "confidence_values_category[(confidence_values_category<60)&(confidence_values_category>=30)]=1\n",
        "confidence_values_category[confidence_values_category>=60]=2"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tLFs7tUZu9s5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "uniquevals, eachcount = np.unique(confidence_values_category, return_counts=True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "a9pVGM-qdSmr",
        "colab_type": "code",
        "outputId": "0d8bc73b-03be-4b00-cc01-3f5829de20f4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "print(uniquevals)\n",
        "uhigh_population=0\n",
        "ulow_population=0\n",
        "non_population=0"
      ],
      "execution_count": 172,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[0 1 2]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hrj_KAuieUUR",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "for i in range(0,pop1d.size):\n",
        "  if(confidence_values_category[i]==0):\n",
        "    non_population=non_population+pop1d[i]\n",
        "  elif(confidence_values_category[i]==1):\n",
        "    ulow_population=ulow_population+pop1d[i]\n",
        "  else:\n",
        "     uhigh_population=uhigh_population+pop1d[i]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z2wFDfDrkz8h",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "uhigh_area=eachcount[2]*30*30\n",
        "ulow_area=eachcount[1]*30*30\n",
        "non_population_area=eachcount[0]*30*30"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "haSyEiiilTdK",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "print(non_population+ulow_population+uhigh_population)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VizZAqwnlpbN",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "uhigh_density=uhigh_population/uhigh_area\n",
        "ulow_density=ulow_population/ulow_area\n",
        "non_population_density=non_population/non_population_area"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uCeLJAhMmMuY",
        "colab_type": "code",
        "outputId": "dc2e2ffc-7e94-441a-ce19-914910b008c9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 67
        }
      },
      "source": [
        "print(uhigh_density)\n",
        "print(ulow_density)\n",
        "print(non_population_density)"
      ],
      "execution_count": 177,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0.17968130165717552\n",
            "0.13643456706856855\n",
            "0.058427895500390334\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xXT7BYclm6Ak",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "d_uhigh=(uhigh_density)/(uhigh_density+ulow_density+non_population_density)\n",
        "d_ulow=(ulow_density)/(uhigh_density+ulow_density+non_population_density)\n",
        "d_non_population=(non_population_density)/(uhigh_density+ulow_density+non_population_density)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j4zbJSz1ol78",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "a_uhigh=(eachcount[2]/pop1d.size)/0.33\n",
        "a_ulow=(eachcount[1]/pop1d.size)/0.33\n",
        "a_non_population=(eachcount[0]/pop1d.size)/0.33"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_XeGSvLoqKqh",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "f_uhigh=(d_uhigh*a_uhigh)/((d_uhigh*a_uhigh)+(d_ulow*a_ulow)+(d_non_population*a_non_population))\n",
        "f_ulow=(d_ulow*a_ulow)/((d_uhigh*a_uhigh)+(d_ulow*a_ulow)+(d_non_population*a_non_population))\n",
        "f_non_population=(d_non_population*a_non_population)/((d_uhigh*a_uhigh)+(d_ulow*a_ulow)+(d_non_population*a_non_population))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UV2XGpHGryeA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "total_pop=np.sum(pop1d)\n",
        "pop_uhigh=(f_uhigh*total_pop)/eachcount[2]\n",
        "pop_ulow=(f_ulow*total_pop)/eachcount[1]\n",
        "pop_non_population=(f_non_population*total_pop)/eachcount[0]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DWK9lchetWZz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "final_ghspop1d=[]\n",
        "\n",
        "for i in range(0,pop1d.size):\n",
        "  if(confidence_values_category[i]==0):\n",
        "    final_ghspop1d.append(pop_non_population)\n",
        "  elif(confidence_values_category[i]==1):\n",
        "    final_ghspop1d.append(pop_ulow)\n",
        "  else:\n",
        "     final_ghspop1d.append(pop_uhigh)\n",
        "\n",
        "final_ghs_pop2d=np.reshape(final_ghspop1d,(new_x_size,new_y_size))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q9M1gM6MWg77",
        "colab_type": "code",
        "outputId": "0babd685-c189-4be1-b4bc-5a628707dc41",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "np.unique(final_ghs_pop2d)"
      ],
      "execution_count": 183,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 52.58509941, 122.7910951 , 161.71315139])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 183
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9IsK-oDj-oyX",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "create_new_tif('test-pop.tif','ghsl-pop-raster-30m.tif',np.asarray(final_ghspop1d,dtype='float32').reshape(new_x_size,new_y_size),1)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nr9wE6LyuSKZ",
        "colab_type": "code",
        "outputId": "befea73f-0e3a-4e3d-a400-6e585fe57cd9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 298
        }
      },
      "source": [
        "fig, ax = plt.subplots()\n",
        "img = ax.imshow((final_ghs_pop2d),cmap=plt.get_cmap('summer'))\n",
        "fig.colorbar(img, ax=ax)\n",
        "ax.set_title('GHS POP')"
      ],
      "execution_count": 207,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'GHS POP')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 207
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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X4q9sWD/MitKrmrLidzHtvv8HAF9V1ctF5DIAW1X1VSLyfwN4MYBnYRK0eIuq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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mvZV26J1PRtM",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1ZzqcPLVPSkn",
        "colab_type": "text"
      },
      "source": [
        "# **GHS S-MOD**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bboKeNp8hoEC",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def classify_urban_area(i,j,d,arr):\n",
        "  n = arr[i-d:i+d+1, j-d:j+d+1].flatten()\n",
        "  return n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nT2V_oR7kubq",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "cc=gdal.Open('ghsl-built-confidence-raster-30m.tif')\n",
        "confidence2d = cc.GetRasterBand(1).ReadAsArray()\n",
        "dd=gdal.Open('ghsl-pop-raster-30m.tif')\n",
        "final_ghs_pop2d=dd.GetRasterBand(1).ReadAsArray()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zKvjUXZgQEGI",
        "colab_type": "text"
      },
      "source": [
        "CLASSIFY URBAN CENTRE, URBAN CLUSTER, RURAL AREA AND OTHER REGIONS"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NxHaEnLJjxbf",
        "colab_type": "code",
        "outputId": "96d3a6cd-ea87-40b8-f85f-e45c716272cd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66,
          "referenced_widgets": [
            "cf1b6896625145dd99c8df93f75fa6b7",
            "05e9fa89f8f14125a1183b4db4c102ae",
            "0b9f3721c91a445eb30cd2baf8ab6250",
            "52d04cce385a401c8c4c20cba338f1b6",
            "68c51ab72b5b45b58edb51599217226f",
            "658ee1f1ae7f41ee936363edb8918b35",
            "96035aa8607d42d0bbf807aeaf0b2927",
            "8a6d82b72e584fd989030b5dccc063b2"
          ]
        }
      },
      "source": [
        "urban_array=np.zeros(final_ghs_pop2d.shape,dtype='uint8')\n",
        "for ix,iy in tqdm(np.ndindex(final_ghs_pop2d.shape)):\n",
        "    popcellvalue=final_ghs_pop2d[ix,iy]\n",
        "    confidencecellvalue=confidence2d[ix,iy]\n",
        "\n",
        "    if((popcellvalue>1500 or confidencecellvalue>50) and (np.sum(classify_urban_area(ix,iy,5,final_ghs_pop2d))>50000)):\n",
        "      urban_array[ix,iy]=3\n",
        "    elif (popcellvalue>300 and (np.sum(classify_urban_area(ix,iy,6,final_ghs_pop2d))>5000)):\n",
        "      urban_array[ix,iy]=2\n",
        "    elif(popcellvalue>1 and (np.sum(classify_urban_area(ix,iy,3,final_ghs_pop2d))<5000)):\n",
        "      urban_array[ix,iy]=1"
      ],
      "execution_count": 188,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "cf1b6896625145dd99c8df93f75fa6b7",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=1, bar_style='info', max=1), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Pc2R0DuKCkXC",
        "colab_type": "code",
        "outputId": "848d2ab5-967d-47c1-dcc8-6fd3bea8ffcc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "print(np.unique(urban_array, return_counts=True))"
      ],
      "execution_count": 189,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(array([0, 1], dtype=uint8), array([  983087, 12412513]))\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ny5DJDt_ozxY",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# from matplotlib import colors\n",
        "# import matplotlib.patches as mpatches\n",
        "# fig, ax = plt.subplots()\n",
        "# black_patch = mpatches.Patch(color='black', label='Urban Centre')\n",
        "# dark_grey_patch=mpatches.Patch(color='grey', label='Urban Cluster')\n",
        "# grey_patch = mpatches.Patch(color='lightgray', label='Others')\n",
        "# white_patch = mpatches.Patch(color='white', label='Rural')\n",
        "\n",
        "# ax.legend(handles=[black_patch,dark_grey_patch,white_patch, grey_patch], loc='lower right')\n",
        "# img = ax.imshow(urban_array)\n",
        "# ax.set_title('GHS-SMOD')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "K_CCm2dhMIN1",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "create_new_tif('test-pop.tif','ghsl-smod-raster-30m.tif',np.asarray(urban_array,dtype='float32'),1)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0WgcV4Drwq91",
        "colab_type": "text"
      },
      "source": [
        "30m Saved BUILT, POP, SMOD Raster Information"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EyF_F09wTMQX",
        "colab_type": "code",
        "outputId": "479262c3-a8a2-46df-aa11-6dd708adda39",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 689
        }
      },
      "source": [
        "!gdalinfo ghsl-smod-raster-30m.tif"
      ],
      "execution_count": 193,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Driver: GTiff/GeoTIFF\n",
            "Files: ghsl-smod-raster-30m.tif\n",
            "Size is 3660, 3660\n",
            "Coordinate System is:\n",
            "PROJCS[\"WGS 84 / UTM zone 32N\",\n",
            "    GEOGCS[\"WGS 84\",\n",
            "        DATUM[\"WGS_1984\",\n",
            "            SPHEROID[\"WGS 84\",6378137,298.257223563,\n",
            "                AUTHORITY[\"EPSG\",\"7030\"]],\n",
            "            AUTHORITY[\"EPSG\",\"6326\"]],\n",
            "        PRIMEM[\"Greenwich\",0,\n",
            "            AUTHORITY[\"EPSG\",\"8901\"]],\n",
            "        UNIT[\"degree\",0.0174532925199433,\n",
            "            AUTHORITY[\"EPSG\",\"9122\"]],\n",
            "        AUTHORITY[\"EPSG\",\"4326\"]],\n",
            "    PROJECTION[\"Transverse_Mercator\"],\n",
            "    PARAMETER[\"latitude_of_origin\",0],\n",
            "    PARAMETER[\"central_meridian\",9],\n",
            "    PARAMETER[\"scale_factor\",0.9996],\n",
            "    PARAMETER[\"false_easting\",500000],\n",
            "    PARAMETER[\"false_northing\",0],\n",
            "    UNIT[\"metre\",1,\n",
            "        AUTHORITY[\"EPSG\",\"9001\"]],\n",
            "    AXIS[\"Easting\",EAST],\n",
            "    AXIS[\"Northing\",NORTH],\n",
            "    AUTHORITY[\"EPSG\",\"32632\"]]\n",
            "Origin = (699049.534879520535469,5000628.359786620363593)\n",
            "Pixel Size = (29.973999881374677,-29.974155089881851)\n",
            "Metadata:\n",
            "  AREA_OR_POINT=Area\n",
            "Image Structure Metadata:\n",
            "  INTERLEAVE=BAND\n",
            "Corner Coordinates:\n",
            "Upper Left  (  699049.535, 5000628.360) ( 11d31'52.68\"E, 45d 7'51.86\"N)\n",
            "Lower Left  (  699049.535, 4890922.952) ( 11d29'19.45\"E, 44d 8'39.84\"N)\n",
            "Upper Right (  808754.374, 5000628.360) ( 12d55'25.36\"E, 45d 5'30.05\"N)\n",
            "Lower Right (  808754.374, 4890922.952) ( 12d51'28.26\"E, 44d 6'22.79\"N)\n",
            "Center      (  753901.955, 4945775.656) ( 12d12' 1.44\"E, 44d37'13.73\"N)\n",
            "Band 1 Block=3660x1 Type=Float32, ColorInterp=Gray\n",
            "  NoData Value=-3.40282306073709653e+38\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RpXOsPBRutFL",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 672
        },
        "outputId": "a6bb6eeb-b03b-4fa1-9260-940cd474d512"
      },
      "source": [
        "!gdalinfo ghsl-built-prediction-raster-30m.tif"
      ],
      "execution_count": 211,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Driver: GTiff/GeoTIFF\n",
            "Files: ghsl-built-prediction-raster-30m.tif\n",
            "Size is 3660, 3660\n",
            "Coordinate System is:\n",
            "PROJCS[\"WGS 84 / UTM zone 32N\",\n",
            "    GEOGCS[\"WGS 84\",\n",
            "        DATUM[\"WGS_1984\",\n",
            "            SPHEROID[\"WGS 84\",6378137,298.257223563,\n",
            "                AUTHORITY[\"EPSG\",\"7030\"]],\n",
            "            AUTHORITY[\"EPSG\",\"6326\"]],\n",
            "        PRIMEM[\"Greenwich\",0,\n",
            "            AUTHORITY[\"EPSG\",\"8901\"]],\n",
            "        UNIT[\"degree\",0.0174532925199433,\n",
            "            AUTHORITY[\"EPSG\",\"9122\"]],\n",
            "        AUTHORITY[\"EPSG\",\"4326\"]],\n",
            "    PROJECTION[\"Transverse_Mercator\"],\n",
            "    PARAMETER[\"latitude_of_origin\",0],\n",
            "    PARAMETER[\"central_meridian\",9],\n",
            "    PARAMETER[\"scale_factor\",0.9996],\n",
            "    PARAMETER[\"false_easting\",500000],\n",
            "    PARAMETER[\"false_northing\",0],\n",
            "    UNIT[\"metre\",1,\n",
            "        AUTHORITY[\"EPSG\",\"9001\"]],\n",
            "    AXIS[\"Easting\",EAST],\n",
            "    AXIS[\"Northing\",NORTH],\n",
            "    AUTHORITY[\"EPSG\",\"32632\"]]\n",
            "Origin = (699960.000000000000000,5000040.000000000000000)\n",
            "Pixel Size = (30.000000000000000,-30.000000000000000)\n",
            "Metadata:\n",
            "  AREA_OR_POINT=Area\n",
            "Image Structure Metadata:\n",
            "  INTERLEAVE=BAND\n",
            "Corner Coordinates:\n",
            "Upper Left  (  699960.000, 5000040.000) ( 11d32'33.47\"E, 45d 7'31.89\"N)\n",
            "Lower Left  (  699960.000, 4890240.000) ( 11d29'59.46\"E, 44d 8'16.83\"N)\n",
            "Upper Right (  809760.000, 5000040.000) ( 12d56' 9.95\"E, 45d 5' 9.45\"N)\n",
            "Lower Right (  809760.000, 4890240.000) ( 12d52'11.95\"E, 44d 5'59.18\"N)\n",
            "Center      (  754860.000, 4945140.000) ( 12d12'43.71\"E, 44d36'51.95\"N)\n",
            "Band 1 Block=3660x2 Type=Byte, ColorInterp=Gray\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H_EZddByTF89",
        "colab_type": "code",
        "outputId": "5a8eff62-ad28-42ee-fbf1-0a4a68257950",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 689
        }
      },
      "source": [
        "!gdalinfo ghsl-pop-raster-30m.tif"
      ],
      "execution_count": 192,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Driver: GTiff/GeoTIFF\n",
            "Files: ghsl-pop-raster-30m.tif\n",
            "Size is 3660, 3660\n",
            "Coordinate System is:\n",
            "PROJCS[\"WGS 84 / UTM zone 32N\",\n",
            "    GEOGCS[\"WGS 84\",\n",
            "        DATUM[\"WGS_1984\",\n",
            "            SPHEROID[\"WGS 84\",6378137,298.257223563,\n",
            "                AUTHORITY[\"EPSG\",\"7030\"]],\n",
            "            AUTHORITY[\"EPSG\",\"6326\"]],\n",
            "        PRIMEM[\"Greenwich\",0,\n",
            "            AUTHORITY[\"EPSG\",\"8901\"]],\n",
            "        UNIT[\"degree\",0.0174532925199433,\n",
            "            AUTHORITY[\"EPSG\",\"9122\"]],\n",
            "        AUTHORITY[\"EPSG\",\"4326\"]],\n",
            "    PROJECTION[\"Transverse_Mercator\"],\n",
            "    PARAMETER[\"latitude_of_origin\",0],\n",
            "    PARAMETER[\"central_meridian\",9],\n",
            "    PARAMETER[\"scale_factor\",0.9996],\n",
            "    PARAMETER[\"false_easting\",500000],\n",
            "    PARAMETER[\"false_northing\",0],\n",
            "    UNIT[\"metre\",1,\n",
            "        AUTHORITY[\"EPSG\",\"9001\"]],\n",
            "    AXIS[\"Easting\",EAST],\n",
            "    AXIS[\"Northing\",NORTH],\n",
            "    AUTHORITY[\"EPSG\",\"32632\"]]\n",
            "Origin = (699049.534879520535469,5000628.359786620363593)\n",
            "Pixel Size = (29.973999881374677,-29.974155089881851)\n",
            "Metadata:\n",
            "  AREA_OR_POINT=Area\n",
            "Image Structure Metadata:\n",
            "  INTERLEAVE=BAND\n",
            "Corner Coordinates:\n",
            "Upper Left  (  699049.535, 5000628.360) ( 11d31'52.68\"E, 45d 7'51.86\"N)\n",
            "Lower Left  (  699049.535, 4890922.952) ( 11d29'19.45\"E, 44d 8'39.84\"N)\n",
            "Upper Right (  808754.374, 5000628.360) ( 12d55'25.36\"E, 45d 5'30.05\"N)\n",
            "Lower Right (  808754.374, 4890922.952) ( 12d51'28.26\"E, 44d 6'22.79\"N)\n",
            "Center      (  753901.955, 4945775.656) ( 12d12' 1.44\"E, 44d37'13.73\"N)\n",
            "Band 1 Block=3660x1 Type=Float32, ColorInterp=Gray\n",
            "  NoData Value=-3.40282306073709653e+38\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0Uj7CmWs1DfC",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    }
  ]
}