Day #39 Global_Human_Settlement_India.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "view-in-github"
   },
   "source": [
    "<a href=\"https://colab.research.google.com/github/skyprince999/100-Days-Of-ML/blob/master/Day_39_Global_Human_Settlement_India.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "C66RI5gbEAgi"
   },
   "source": [
    "<table class=\"ee-notebook-buttons\" align=\"left\">\n",
    "    <td><a target=\"_blank\"  href=\"https://github.com/giswqs/earthengine-py-notebooks/tree/master/Datasets/Vectors/international_boundary.ipynb\"><img width=32px src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" /> View source on GitHub</a></td>\n",
    "    <td><a target=\"_blank\"  href=\"https://nbviewer.jupyter.org/github/giswqs/earthengine-py-notebooks/blob/master/Datasets/Vectors/international_boundary.ipynb\"><img width=26px src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/3/38/Jupyter_logo.svg/883px-Jupyter_logo.svg.png\" />Notebook Viewer</a></td>\n",
    "    <td><a target=\"_blank\"  href=\"https://colab.research.google.com/github/giswqs/earthengine-py-notebooks/blob/master/Datasets/Vectors/international_boundary.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" /> Run in Google Colab</a></td>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "BOzmQ8NPEAgl"
   },
   "source": [
    "## Install Earth Engine API and geemap\n",
    "Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geemap](https://github.com/giswqs/geemap). The **geemap** Python package is built upon the [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) and [folium](https://github.com/python-visualization/folium) packages and implements several methods for interacting with Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, and `Map.centerObject()`.\n",
    "The following script checks if the geemap package has been installed. If not, it will install geemap, which automatically installs its [dependencies](https://github.com/giswqs/geemap#dependencies), including earthengine-api, folium, and ipyleaflet.\n",
    "\n",
    "**Important note**: A key difference between folium and ipyleaflet is that ipyleaflet is built upon ipywidgets and allows bidirectional communication between the front-end and the backend enabling the use of the map to capture user input, while folium is meant for displaying static data only ([source](https://blog.jupyter.org/interactive-gis-in-jupyter-with-ipyleaflet-52f9657fa7a)). Note that [Google Colab](https://colab.research.google.com/) currently does not support ipyleaflet ([source](https://github.com/googlecolab/colabtools/issues/60#issuecomment-596225619)). Therefore, if you are using geemap with Google Colab, you should use [`import geemap.eefolium`](https://github.com/giswqs/geemap/blob/master/geemap/eefolium.py). If you are using geemap with [binder](https://mybinder.org/) or a local Jupyter notebook server, you can use [`import geemap`](https://github.com/giswqs/geemap/blob/master/geemap/geemap.py), which provides more functionalities for capturing user input (e.g., mouse-clicking and moving)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 190
    },
    "colab_type": "code",
    "id": "RmK2vVRjEAgn",
    "outputId": "0bf8f35d-0fad-47e1-9c38-cd6c1cbc37e0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "geemap package not installed. Installing ...\n",
      "To authorize access needed by Earth Engine, open the following URL in a web browser and follow the instructions. If the web browser does not start automatically, please manually browse the URL below.\n",
      "\n",
      "    https://accounts.google.com/o/oauth2/auth?client_id=517222506229-vsmmajv00ul0bs7p89v5m89qs8eb9359.apps.googleusercontent.com&scope=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fearthengine+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdevstorage.full_control&redirect_uri=urn%3Aietf%3Awg%3Aoauth%3A2.0%3Aoob&response_type=code&code_challenge=9cQcsrBwrFhsfGCUjvVYZmhJrwwqp_h_IiPOufT95wI&code_challenge_method=S256\n",
      "\n",
      "The authorization workflow will generate a code, which you should paste in the box below. \n",
      "Enter verification code: 4/3wGndDGyt3y2Cl72sWtRIp7NbbXY-h2zkHG8k-6toeMcLX8f99gVY4Q\n",
      "\n",
      "Successfully saved authorization token.\n"
     ]
    }
   ],
   "source": [
    "# Installs geemap package\n",
    "import subprocess\n",
    "\n",
    "try:\n",
    "    import geemap\n",
    "except ImportError:\n",
    "    print('geemap package not installed. Installing ...')\n",
    "    subprocess.check_call([\"python\", '-m', 'pip', 'install', 'geemap'])\n",
    "\n",
    "# Checks whether this notebook is running on Google Colab\n",
    "try:\n",
    "    import google.colab\n",
    "    import geemap.eefolium as geemap\n",
    "except:\n",
    "    import geemap\n",
    "\n",
    "# Authenticates and initializes Earth Engine\n",
    "import ee\n",
    "\n",
    "try:\n",
    "    ee.Initialize()\n",
    "except Exception as e:\n",
    "    ee.Authenticate()\n",
    "    ee.Initialize()  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "A4GTvJzpEAg2"
   },
   "source": [
    "## Source for the code \n",
    "This are the code from the Earth Engine - Medium blog on visualizing built-up area:\n",
    "https://towardsdatascience.com/visualizing-built-up-areas-using-satellite-images-18d43f34f0b3\n",
    "\n",
    "The Global Human Settlement (GHS) framework produces global spatial information about the human presence on the planet over time.\n",
    "\n",
    "This includes physical settlement so it captures the built up area over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "colab_type": "code",
    "id": "RRNc-mJSEAg3",
    "outputId": "32a09428-e85a-4783-fee1-318111df9b46"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=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 onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<geemap.eefolium.Map at 0x7fa75990c438>"
      ]
     },
     "execution_count": 10,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Map = geemap.Map(center=[27.5278, 77.0801], zoom=7) # 15.222871,120.574440\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "iV2N38-3EAhB"
   },
   "source": [
    "## Load the dataset and store it as an object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "-89li8loEAhD"
   },
   "outputs": [],
   "source": [
    "#Note that ee.Image and ee.ImageCollection can both access datasets but you need to check which one is applicable for your intended dataset\n",
    "image = ee.Image('JRC/GHSL/P2016/BUILT_LDSMT_GLOBE_V1')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Uui_SZyTEAhO"
   },
   "source": [
    "## Select \"built\" band as want the built-up area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "sSRikGgJEAhQ"
   },
   "outputs": [],
   "source": [
    "builtUp = image.select('built')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Gevetr84Nw7Z"
   },
   "source": [
    "## Define the Vis parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "WzDAmjalNvNX"
   },
   "outputs": [],
   "source": [
    "visParams = {\n",
    "  'min': 1.0,\n",
    "  'max': 6.0,\n",
    "  'palette': ['0c1d60', '000000', '448564', '70daa4', '83ffbf', 'ffffff'],\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "jMOSn4XnN3kP"
   },
   "outputs": [],
   "source": [
    "#.addLayer method adds this on top of your initialized Map above\n",
    "Map.addLayer(builtUp, visParams, 'Built-Up Multitemporal')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "colab_type": "code",
    "id": "wt79C-FsOo6m",
    "outputId": "19499396-c3b8-4cd9-e648-0ca242d0c8df"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=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 onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<geemap.eefolium.Map at 0x7fa75990c438>"
      ]
     },
     "execution_count": 15,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "colab_type": "code",
    "id": "m3x6r3tsO402",
    "outputId": "af275daf-c90e-476d-feb3-b142f3b867f6"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=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 onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<geemap.eefolium.Map at 0x7fa75990c438>"
      ]
     },
     "execution_count": 16,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visParams = {\n",
    "  'min': 1.0,\n",
    "  'max': 6.0,\n",
    "  'palette': ['0c1d60', 'black', 'yellow', 'green', 'blue', 'white'],\n",
    "}\n",
    "\n",
    "#.addLayer method adds this on top of your initialized Map above\n",
    "Map.addLayer(builtUp, visParams, 'Built-Up Multitemporal')\n",
    "Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "rf_v-L9aPI02"
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "colab": {
   "collapsed_sections": [],
   "include_colab_link": true,
   "name": "Day 39# Global_Human_Settlement India.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}