Notebooks/0-TFRecords/2-TFRecords_from_GEE.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Export TFRecords from Earth Engine\n",
    "\n",
    "## Table of Contents\n",
    "- ### [Python libraries](#libraries)\n",
    "- ### [Earth Engine data acquisition](#data)\n",
    "    - #### [**Impervious**](#impervious)\n",
    "        - ####  [Visualize the data](#visualize)\n",
    "        - ####  [Select the areas](#areas)\n",
    "        - #### [Export TFRecords to Google Cloud Store](#tfrecords)\n",
    "    - #### [**Cropland**](#cropland)\n",
    "        - ####  [Visualize the data](#visualize2)\n",
    "        - ####  [Select the areas](#areas2)\n",
    "        - #### [Export TFRecords to Google Cloud Store](#tfrecords2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='libraries'></a>\n",
    "## Python libraries\n",
    "We begin by importing a number of useful libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.1.246\n"
     ]
    }
   ],
   "source": [
    "import ee\n",
    "import folium\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "print(ee.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from preprocess.ee_data_preprocess import Preprocess"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Initialize the Earth Engine client."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "ee.Initialize()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='data'></a>\n",
    "## Earth Engine data acquisition"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='impervious'></a>\n",
    "### **Impervious**\n",
    "\n",
    "Input images:\n",
    "- RGB ([B4,B3,B2]) bands of the [**USGS Landsat 8 Surface Reflectance Tier 1**](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C01_T1_SR) dataset.\n",
    "\n",
    "Output image:\n",
    "- Impervious band of the [**NLCD: USGS National Land Cover Database**](https://developers.google.com/earth-engine/datasets/catalog/USGS_NLCD)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='visualize'></a>\n",
    "###  Visualize the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = Preprocess()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "data.composite(slugs=['Landsat-8-Surface-Reflectance', 'USGS-National-Land-Cover-Database'],\\\n",
    "              init_date = '2016-01-01', end_date = '2016-12-31', lat=37.9563, lon=-121.2929, zoom=9)"
   ]
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  {
   "cell_type": "markdown",
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    "<a id='areas'></a>\n",
    "###  Select the areas\n",
    "We select the areas from which we will export the training, validation and testing data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_atts = {\"type\": \"FeatureCollection\", \"features\": [{\"type\": \"Feature\", \"properties\": {}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-105.380859375,39.38101803294523],[-104.5074462890625,39.38101803294523],[-104.5074462890625,40.027614437486655],[-105.380859375,40.027614437486655],[-105.380859375,39.38101803294523]]]}}, {\"type\": \"Feature\", \"properties\": {}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-121.67907714843751,38.33088431959971],[-121.01989746093749,38.33088431959971],[-121.01989746093749,38.87179021382536],[-121.67907714843751,38.87179021382536],[-121.67907714843751,38.33088431959971]]]}}, {\"type\": \"Feature\", \"properties\": {}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-84.74853515625,33.44977658311846],[-83.97125244140625,33.44977658311846],[-83.97125244140625,34.10043369975709],[-84.74853515625,34.10043369975709],[-84.74853515625,33.44977658311846]]]}}]}\n",
    "test_atts = {\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"properties\":{},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-95.0537109375,38.66835610151506],[-94.1583251953125,38.66835610151506],[-94.1583251953125,39.46164364205549],[-95.0537109375,39.46164364205549],[-95.0537109375,38.66835610151506]]]}}]}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of training polygons: 3\n",
      "Number of test polygons: 1\n"
     ]
    },
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            {"features": [{"geometry": {"coordinates": [[[[-105.380859375, 39.38101803294523], [-104.5074462890625, 39.38101803294523], [-104.5074462890625, 40.027614437486655], [-105.380859375, 40.027614437486655], [-105.380859375, 39.38101803294523]]], [[[-121.67907714843751, 38.33088431959971], [-121.01989746093749, 38.33088431959971], [-121.01989746093749, 38.87179021382536], [-121.67907714843751, 38.87179021382536], [-121.67907714843751, 38.33088431959971]]], [[[-84.74853515625, 33.44977658311846], [-83.97125244140625, 33.44977658311846], [-83.97125244140625, 34.10043369975709], [-84.74853515625, 34.10043369975709], [-84.74853515625, 33.44977658311846]]]], "type": "MultiPolygon"}, "properties": {"highlight": {}, "style": {"color": "#2BA4A0", "fillOpacity": 0.0, "weight": 4}}, "type": "Feature"}], "type": "FeatureCollection"},
            {
            }
        ).addTo(map_f7403daee1884a3c9f3d12f4f1ad7539 );
        geo_json_a68a56782cf34beebb3cfa4d74f94943.setStyle(function(feature) {return feature.properties.style;});
        
    
        var geo_json_80d044fc4e684294941328fecf505e03 = L.geoJson(
            {"features": [{"geometry": {"coordinates": [[[[-95.0537109375, 38.66835610151506], [-94.1583251953125, 38.66835610151506], [-94.1583251953125, 39.46164364205549], [-95.0537109375, 39.46164364205549], [-95.0537109375, 38.66835610151506]]]], "type": "MultiPolygon"}, "properties": {"highlight": {}, "style": {"color": "#FFE229", "fillOpacity": 0.0, "weight": 4}}, "type": "Feature"}], "type": "FeatureCollection"},
            {
            }
        ).addTo(map_f7403daee1884a3c9f3d12f4f1ad7539 );
        geo_json_80d044fc4e684294941328fecf505e03.setStyle(function(feature) {return feature.properties.style;});
        
    
            var layer_control_095dbebbc0a34f8e883081834262b477 = {
                base_layers : { "openstreetmap" : tile_layer_a055d37aed07400fb75f4c8ee6f11ff5, },
                overlays : { "Landsat-8-Surface-Reflectance" : tile_layer_a738ec638ca64386a0aa4db96a457ad8,"USGS-National-Land-Cover-Database" : tile_layer_e6983873eaff487bbfd6ca75ff8a12d4,"training" : geo_json_a68a56782cf34beebb3cfa4d74f94943,"test" : geo_json_80d044fc4e684294941328fecf505e03, }
                };
            L.control.layers(
                layer_control_095dbebbc0a34f8e883081834262b477.base_layers,
                layer_control_095dbebbc0a34f8e883081834262b477.overlays,
                {position: 'topright',
                 collapsed: true,
                 autoZIndex: true
                }).addTo(map_f7403daee1884a3c9f3d12f4f1ad7539);
            
        
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x11994f1d0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.select_areas(attributes=[train_atts, test_atts], zoom=5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='tfrecords'></a>\n",
    "### Export TFRecords to Google Cloud Store"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.export_TFRecords(sample_size = 2000, kernel_size = 128, scale=30, bucket='geo-ai', folder='Impervious/Data')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='cropland'></a>\n",
    "### **Cropland**\n",
    "\n",
    "Input images:\n",
    "- RGB ([B4,B3,B2]) bands of the [**Sentinel-2 MSI: MultiSpectral Instrument, Level-1C**](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2) dataset.\n",
    "\n",
    "Output image:\n",
    "- Cropland band of the [**USDA NASS Cropland Data Layers**](https://developers.google.com/earth-engine/datasets/catalog/USDA_NASS_CDL)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='visualize2'></a>\n",
    "###  Visualize the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = Preprocess()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ],
      "text/plain": [
       "<folium.folium.Map at 0x1192800d0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.composite(slugs=['Sentinel-2-Top-of-Atmosphere-Reflectance', 'USDA-NASS-Cropland-Data-Layers'],\\\n",
    "              init_date = '2018-01-01', end_date = '2018-12-31', lat=37.9563, lon=-121.2929, zoom=9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='areas2'></a>\n",
    "###  Select the areas\n",
    "We select the areas from which we will export the training, validation and testing data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_atts = {\"type\": \"FeatureCollection\", \"features\": [{\"type\": \"Feature\", \"properties\": {}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-122.17346191406249,37.84015683604136],[-120.684814453125,37.84015683604136],[-120.684814453125,38.91668153637508],[-122.17346191406249,38.91668153637508],[-122.17346191406249,37.84015683604136]]]}}, {\"type\": \"Feature\", \"properties\": {}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-94.801025390625,44.38669150215206],[-92.74658203125,44.38669150215206],[-92.74658203125,45.506346901083425],[-94.801025390625,45.506346901083425],[-94.801025390625,44.38669150215206]]]}}, {\"type\": \"Feature\", \"properties\": {}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-112.664794921875,40.41767833585549],[-111.33544921874999,40.41767833585549],[-111.33544921874999,41.668808555620586],[-112.664794921875,41.668808555620586],[-112.664794921875,40.41767833585549]]]}}]}\n",
    "test_atts = {\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"properties\":{},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-90.56304931640625,34.712266941280404],[-89.5330810546875,34.712266941280404],[-89.5330810546875,35.380092992092145],[-90.56304931640625,35.380092992092145],[-90.56304931640625,34.712266941280404]]]}}]}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of training polygons: 3\n",
      "Number of test polygons: 1\n"
     ]
    },
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</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x117a726d0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.select_areas(attributes=[train_atts, test_atts], zoom=5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='tfrecords'></a>\n",
    "### Export TFRecords to Google Cloud Store"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.export_TFRecords(sample_size = 2000, kernel_size = 128, scale=30, bucket='geo-ai', folder='Landcover/Data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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