Google_Earth_Engine_t1.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Google Earth Engine - t1.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/soiqualang/colab/blob/master/Google_Earth_Engine_t1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EbFfK5D_hz2F",
        "colab_type": "text"
      },
      "source": [
        "https://developers.google.com/earth-engine/python_install-colab\n",
        "\n",
        "https://github.com/soiqualang/earthengine-api"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mK8DOcp4MtpB",
        "colab_type": "text"
      },
      "source": [
        "# Cài đặt\n",
        "\n",
        "Cài đặt và xác thực api"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JCmKS71CL7Yd",
        "colab_type": "code",
        "outputId": "ac66471a-244b-4292-e583-a1afbf97cbd9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 462
        }
      },
      "source": [
        "!pip install earthengine-api"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: earthengine-api in /usr/local/lib/python3.6/dist-packages (0.1.197)\n",
            "Requirement already satisfied: httplib2<1dev,>=0.9.2 in /usr/local/lib/python3.6/dist-packages (from earthengine-api) (0.11.3)\n",
            "Requirement already satisfied: google-auth>=1.4.1 in /usr/local/lib/python3.6/dist-packages (from earthengine-api) (1.4.2)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from earthengine-api) (1.12.0)\n",
            "Requirement already satisfied: google-cloud-storage in /usr/local/lib/python3.6/dist-packages (from earthengine-api) (1.16.1)\n",
            "Requirement already satisfied: google-auth-httplib2>=0.0.3 in /usr/local/lib/python3.6/dist-packages (from earthengine-api) (0.0.3)\n",
            "Requirement already satisfied: google-api-python-client in /usr/local/lib/python3.6/dist-packages (from earthengine-api) (1.7.11)\n",
            "Requirement already satisfied: future in /usr/local/lib/python3.6/dist-packages (from earthengine-api) (0.16.0)\n",
            "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.6/dist-packages (from google-auth>=1.4.1->earthengine-api) (0.2.6)\n",
            "Requirement already satisfied: rsa>=3.1.4 in /usr/local/lib/python3.6/dist-packages (from google-auth>=1.4.1->earthengine-api) (4.0)\n",
            "Requirement already satisfied: cachetools>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from google-auth>=1.4.1->earthengine-api) (3.1.1)\n",
            "Requirement already satisfied: google-cloud-core<2.0dev,>=1.0.0 in /usr/local/lib/python3.6/dist-packages (from google-cloud-storage->earthengine-api) (1.0.3)\n",
            "Requirement already satisfied: google-resumable-media>=0.3.1 in /usr/local/lib/python3.6/dist-packages (from google-cloud-storage->earthengine-api) (0.3.3)\n",
            "Requirement already satisfied: uritemplate<4dev,>=3.0.0 in /usr/local/lib/python3.6/dist-packages (from google-api-python-client->earthengine-api) (3.0.0)\n",
            "Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /usr/local/lib/python3.6/dist-packages (from pyasn1-modules>=0.2.1->google-auth>=1.4.1->earthengine-api) (0.4.6)\n",
            "Requirement already satisfied: google-api-core<2.0.0dev,>=1.14.0 in /usr/local/lib/python3.6/dist-packages (from google-cloud-core<2.0dev,>=1.0.0->google-cloud-storage->earthengine-api) (1.14.2)\n",
            "Requirement already satisfied: googleapis-common-protos<2.0dev,>=1.6.0 in /usr/local/lib/python3.6/dist-packages (from google-api-core<2.0.0dev,>=1.14.0->google-cloud-core<2.0dev,>=1.0.0->google-cloud-storage->earthengine-api) (1.6.0)\n",
            "Requirement already satisfied: requests<3.0.0dev,>=2.18.0 in /usr/local/lib/python3.6/dist-packages (from google-api-core<2.0.0dev,>=1.14.0->google-cloud-core<2.0dev,>=1.0.0->google-cloud-storage->earthengine-api) (2.21.0)\n",
            "Requirement already satisfied: pytz in /usr/local/lib/python3.6/dist-packages (from google-api-core<2.0.0dev,>=1.14.0->google-cloud-core<2.0dev,>=1.0.0->google-cloud-storage->earthengine-api) (2018.9)\n",
            "Requirement already satisfied: setuptools>=34.0.0 in /usr/local/lib/python3.6/dist-packages (from google-api-core<2.0.0dev,>=1.14.0->google-cloud-core<2.0dev,>=1.0.0->google-cloud-storage->earthengine-api) (41.2.0)\n",
            "Requirement already satisfied: protobuf>=3.4.0 in /usr/local/lib/python3.6/dist-packages (from google-api-core<2.0.0dev,>=1.14.0->google-cloud-core<2.0dev,>=1.0.0->google-cloud-storage->earthengine-api) (3.7.1)\n",
            "Requirement already satisfied: urllib3<1.25,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests<3.0.0dev,>=2.18.0->google-api-core<2.0.0dev,>=1.14.0->google-cloud-core<2.0dev,>=1.0.0->google-cloud-storage->earthengine-api) (1.24.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests<3.0.0dev,>=2.18.0->google-api-core<2.0.0dev,>=1.14.0->google-cloud-core<2.0dev,>=1.0.0->google-cloud-storage->earthengine-api) (2019.6.16)\n",
            "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests<3.0.0dev,>=2.18.0->google-api-core<2.0.0dev,>=1.14.0->google-cloud-core<2.0dev,>=1.0.0->google-cloud-storage->earthengine-api) (3.0.4)\n",
            "Requirement already satisfied: idna<2.9,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests<3.0.0dev,>=2.18.0->google-api-core<2.0.0dev,>=1.14.0->google-cloud-core<2.0dev,>=1.0.0->google-cloud-storage->earthengine-api) (2.8)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PPjWGA-SMbuK",
        "colab_type": "code",
        "outputId": "e5228546-1160-478f-9963-f9af8dad933d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 241
        }
      },
      "source": [
        "!earthengine authenticate"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Running command using Cloud API.  Set --no-use_cloud_api to go back to using the API\n",
            "\n",
            "/usr/local/lib/python3.6/dist-packages/IPython/utils/traitlets.py:5: UserWarning: IPython.utils.traitlets has moved to a top-level traitlets package.\n",
            "  warn(\"IPython.utils.traitlets has moved to a top-level traitlets package.\")\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\n",
            "\n",
            "The authorization workflow will generate a code, which you should paste in the box below. \n",
            "Enter verification code: 4/qwF3oA_n-x-VQFjAdEnAp8gAg77dWXDCKgX7iPNKxdrYro5yWAgJQE0\n",
            "\n",
            "Successfully saved authorization token.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Nf1XTsauMzbT",
        "colab_type": "text"
      },
      "source": [
        "# Test API"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RFlQAMpSMk8v",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import ee\n",
        "ee.Initialize()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xGZgXIqFM1e2",
        "colab_type": "code",
        "outputId": "df18fb59-aed5-46cc-99d9-a13098a458dd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "# Print the elevation of Mount Everest.\n",
        "dem = ee.Image('USGS/SRTMGL1_003')\n",
        "xy = ee.Geometry.Point([86.9250, 27.9881])\n",
        "elev = dem.sample(xy, 30).first().get('elevation').getInfo()\n",
        "print('Mount Everest elevation (m):', elev)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mount Everest elevation (m): 8729\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5IaG1lP6M92_",
        "colab_type": "text"
      },
      "source": [
        "## Map visualization"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RyD6DFDWM7WQ",
        "colab_type": "code",
        "outputId": "1ff2c9b4-b138-4d53-cfd2-938fdbe6dc73",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 186
        }
      },
      "source": [
        "# Import the Image function from the IPython.display module. \n",
        "from IPython.display import Image\n",
        "\n",
        "# Display a thumbnail of global elevation.\n",
        "Image(url=dem.getThumbUrl({'min': 0, 'max': 3000}))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<img src=\"https://earthengine.googleapis.com/api/thumb?thumbid=d4e70d2b898f538578eceeccb4f8137f&token=052737ec3434a6a80b5d8bf99c3baa3f\"/>"
            ],
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pYp8enFLNM3Y",
        "colab_type": "code",
        "outputId": "93af7de4-8863-42d4-8773-6aa2f142dfe5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 550
        }
      },
      "source": [
        "# Import the Folium library.\n",
        "import folium\n",
        "\n",
        "# Define a method for displaying Earth Engine image tiles to folium map.\n",
        "def add_ee_layer(self, eeImageObject, visParams, name):\n",
        "  mapID = ee.Image(eeImageObject).getMapId(visParams)\n",
        "  folium.raster_layers.TileLayer(\n",
        "    tiles = \"https://earthengine.googleapis.com/map/\"+mapID['mapid']+\n",
        "      \"/{z}/{x}/{y}?token=\"+mapID['token'],\n",
        "    attr = \"Map Data &copy; <a href='https://earthengine.google.com/'>Google Earth Engine</a>\",\n",
        "    name = name,\n",
        "    overlay = True,\n",
        "    control = True\n",
        "  ).add_to(self)\n",
        "\n",
        "# Add EE drawing method to folium.\n",
        "folium.Map.add_ee_layer = add_ee_layer\n",
        "\n",
        "# Set visualization parameters.\n",
        "visParams = {'min':0, 'max':3000, 'palette':['225ea8','41b6c4','a1dab4','ffffcc']}\n",
        "\n",
        "# Create a folium map object.\n",
        "myMap = folium.Map(location=[20, 0], zoom_start=3, height=500)\n",
        "\n",
        "# Add the elevation model to the map object.\n",
        "myMap.add_ee_layer(dem, visParams, 'DEM')\n",
        "\n",
        "# Add a layer control panel to the map.\n",
        "myMap.add_child(folium.LayerControl())\n",
        "\n",
        "# Display the map.\n",
        "display(myMap)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,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\" 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 0x7f318f173940>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "L4OyNGUwNRHq",
        "colab_type": "code",
        "outputId": "963407a4-b5ad-4b07-b9b2-b36f9b0aaf56",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        }
      },
      "source": [
        "# Import the matplotlib.pyplot module.\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Fetch a Landsat image.\n",
        "img = ee.Image('LANDSAT/LT05/C01/T1_SR/LT05_034033_20000913')\n",
        "\n",
        "# Select Red and NIR bands, scale them, and sample 500 points.\n",
        "sampFC = img.select(['B3','B4']).divide(10000).sample(scale=30, numPixels=500)\n",
        "\n",
        "# Arrange the sample as a list of lists.\n",
        "sampDict = sampFC.reduceColumns(ee.Reducer.toList().repeat(2), ['B3', 'B4'])\n",
        "sampList = ee.List(sampDict.get('list'))\n",
        "\n",
        "# Save server-side ee.List as a client-side Python list.\n",
        "sampData = sampList.getInfo()\n",
        "\n",
        "# Display a scatter plot of Red-NIR sample pairs using matplotlib.\n",
        "plt.scatter(sampData[0], sampData[1], alpha=0.2)\n",
        "plt.xlabel('Red', fontsize=12)\n",
        "plt.ylabel('NIR', fontsize=12)\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY4AAAENCAYAAAAYIIIKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "R1EAIuilh3gO",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VbS3lzmdOoU-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import ee\n",
        "ee.Initialize()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FSFGe-tAiewq",
        "colab_type": "code",
        "outputId": "83e0626a-3186-4562-8915-eefcde4d5c79",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "# Print the elevation of Mount Everest.\n",
        "dem = ee.Image('USGS/SRTMGL1_003')\n",
        "xy = ee.Geometry.Point([86.9250, 27.9881])\n",
        "elev = dem.sample(xy, 30).first().get('elevation').getInfo()\n",
        "print('Mount Everest elevation (m):', elev)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mount Everest elevation (m): 8729\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Xo2D3uCJkyJX",
        "colab_type": "text"
      },
      "source": [
        "https://developers.google.com/earth-engine/image_visualization"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CdtqMOXBinYw",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "img1=ee.Image('LANDSAT/LC08/C01/T1_TOA/LC08_044034_20140318')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "owr3zEtTjtGC",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "vizParams = {\n",
        "  'bands': ['B5', 'B4', 'B3'],\n",
        "  'min': 0,\n",
        "  'max': 0.5,\n",
        "  'gamma': [0.95, 1.1, 1]\n",
        "}"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ydlInOzflHcp",
        "colab_type": "code",
        "outputId": "c0e8851f-90a0-4184-81a2-61ad29d2ef4a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 533
        }
      },
      "source": [
        "# Import the Image function from the IPython.display module. \n",
        "from IPython.display import Image\n",
        "\n",
        "# Display a thumbnail of global elevation.\n",
        "Image(url=img1.getThumbUrl({'min': 0, 'max': 3000}))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<img src=\"https://earthengine.googleapis.com/api/thumb?thumbid=c8835ab58311c9714fd666529d128fd1&token=68478d648e2bf267e7e8086694c4364d\"/>"
            ],
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ydJDjIGWj33o",
        "colab_type": "code",
        "outputId": "44d18526-8f55-424a-bb95-dd6a2384f2fc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 129
        }
      },
      "source": [
        "Map.setCenter(-122.1899, 37.5010, 10); // San Francisco Bay\n",
        "Map.addLayer(image, vizParams, 'false color composite');"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "error",
          "ename": "SyntaxError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-13-5d31112c8c54>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    Map.setCenter(-122.1899, 37.5010, 10); // San Francisco Bay\u001b[0m\n\u001b[0m                                            ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "R36BG2Gzl7G_",
        "colab_type": "code",
        "outputId": "09dc336b-376d-4074-ce6b-2cca4bdc0bd5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 556
        }
      },
      "source": [
        "# Import the Folium library.\n",
        "import folium\n",
        "\n",
        "# Define a method for displaying Earth Engine image tiles to folium map.\n",
        "def add_ee_layer(self, eeImageObject, visParams, name):\n",
        "  mapID = ee.Image(eeImageObject).getMapId(visParams)\n",
        "  folium.raster_layers.TileLayer(\n",
        "    tiles = \"https://earthengine.googleapis.com/map/\"+mapID['mapid']+\n",
        "      \"/{z}/{x}/{y}?token=\"+mapID['token'],\n",
        "    attr = \"Map Data &copy; <a href='https://earthengine.google.com/'>Google Earth Engine</a>\",\n",
        "    name = name,\n",
        "    overlay = True,\n",
        "    control = True\n",
        "  ).add_to(self)\n",
        "\n",
        "# Add EE drawing method to folium.\n",
        "folium.Map.add_ee_layer = add_ee_layer\n",
        "\n",
        "# Set visualization parameters.\n",
        "#vizParams = {'min':0, 'max':3000, 'palette':['225ea8','41b6c4','a1dab4','ffffcc']}\n",
        "\n",
        "# Create a folium map object.\n",
        "myMap = folium.Map(location=[20, 0], zoom_start=3, height=500)\n",
        "\n",
        "# Add the elevation model to the map object.\n",
        "myMap.add_ee_layer(img1, vizParams, 'DEM')\n",
        "\n",
        "# Add a layer control panel to the map.\n",
        "myMap.add_child(folium.LayerControl())\n",
        "\n",
        "# Display the map.\n",
        "display(myMap)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,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\" 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 0x7f0530f4d828>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "40mw8sfqmIjP",
        "colab_type": "code",
        "outputId": "9d449541-2780-455a-adca-4b05a33e9ca6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "print(img1.getInfo())"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "{'type': 'Image', 'bands': [{'id': 'B1', 'data_type': {'type': 'PixelType', 'precision': 'float'}, 'dimensions': [7661, 7801], 'crs': 'EPSG:32610', 'crs_transform': [30.0, 0.0, 460785.0, 0.0, -30.0, 4264215.0]}, {'id': 'B2', 'data_type': {'type': 'PixelType', 'precision': 'float'}, 'dimensions': [7661, 7801], 'crs': 'EPSG:32610', 'crs_transform': [30.0, 0.0, 460785.0, 0.0, -30.0, 4264215.0]}, {'id': 'B3', 'data_type': {'type': 'PixelType', 'precision': 'float'}, 'dimensions': [7661, 7801], 'crs': 'EPSG:32610', 'crs_transform': [30.0, 0.0, 460785.0, 0.0, -30.0, 4264215.0]}, {'id': 'B4', 'data_type': {'type': 'PixelType', 'precision': 'float'}, 'dimensions': [7661, 7801], 'crs': 'EPSG:32610', 'crs_transform': [30.0, 0.0, 460785.0, 0.0, -30.0, 4264215.0]}, {'id': 'B5', 'data_type': {'type': 'PixelType', 'precision': 'float'}, 'dimensions': [7661, 7801], 'crs': 'EPSG:32610', 'crs_transform': [30.0, 0.0, 460785.0, 0.0, -30.0, 4264215.0]}, {'id': 'B6', 'data_type': {'type': 'PixelType', 'precision': 'float'}, 'dimensions': [7661, 7801], 'crs': 'EPSG:32610', 'crs_transform': [30.0, 0.0, 460785.0, 0.0, -30.0, 4264215.0]}, {'id': 'B7', 'data_type': {'type': 'PixelType', 'precision': 'float'}, 'dimensions': [7661, 7801], 'crs': 'EPSG:32610', 'crs_transform': [30.0, 0.0, 460785.0, 0.0, -30.0, 4264215.0]}, {'id': 'B8', 'data_type': {'type': 'PixelType', 'precision': 'float'}, 'dimensions': [15321, 15601], 'crs': 'EPSG:32610', 'crs_transform': [15.0, 0.0, 460792.5, 0.0, -15.0, 4264207.5]}, {'id': 'B9', 'data_type': {'type': 'PixelType', 'precision': 'float'}, 'dimensions': [7661, 7801], 'crs': 'EPSG:32610', 'crs_transform': [30.0, 0.0, 460785.0, 0.0, -30.0, 4264215.0]}, {'id': 'B10', 'data_type': {'type': 'PixelType', 'precision': 'float'}, 'dimensions': [7661, 7801], 'crs': 'EPSG:32610', 'crs_transform': [30.0, 0.0, 460785.0, 0.0, -30.0, 4264215.0]}, {'id': 'B11', 'data_type': {'type': 'PixelType', 'precision': 'float'}, 'dimensions': [7661, 7801], 'crs': 'EPSG:32610', 'crs_transform': [30.0, 0.0, 460785.0, 0.0, -30.0, 4264215.0]}, {'id': 'BQA', 'data_type': {'type': 'PixelType', 'precision': 'int', 'min': 0, 'max': 65535}, 'dimensions': [7661, 7801], 'crs': 'EPSG:32610', 'crs_transform': [30.0, 0.0, 460785.0, 0.0, -30.0, 4264215.0]}], 'version': 1566653198353937, 'id': 'LANDSAT/LC08/C01/T1_TOA/LC08_044034_20140318', 'properties': {'RADIANCE_MULT_BAND_5': 0.0061709, 'RADIANCE_MULT_BAND_6': 0.0015346, 'RADIANCE_MULT_BAND_3': 0.011958, 'RADIANCE_MULT_BAND_4': 0.010084, 'RADIANCE_MULT_BAND_1': 0.012673, 'RADIANCE_MULT_BAND_2': 0.012977, 'K2_CONSTANT_BAND_11': 1201.1442, 'K2_CONSTANT_BAND_10': 1321.0789, 'system:footprint': {'type': 'LinearRing', 'coordinates': [[-121.3637119499993, 36.41016684133052], [-121.35905784815819, 36.42528989660049], [-121.2315833015866, 36.840374852891664], [-121.09978718573184, 37.26438246506325], [-121.00571062336425, 37.564795515259384], [-120.98453376062118, 37.632161601008896], [-120.95100979452299, 37.73864548098522], [-120.90277241165228, 37.89149086576169], [-120.8836409072059, 37.951976016520376], [-120.85713152433351, 38.03584247073611], [-120.82804345546616, 38.12789513604401], [-122.38148159443172, 38.42337450676813], [-122.9500220192271, 38.525813632077686], [-122.95103687833704, 38.52422133103557], [-122.9569591344694, 38.504384836247866], [-123.43853932998316, 36.805122381748035], [-123.18722447462653, 36.759167415189125], [-121.5105534682754, 36.43765126135182], [-121.36447385999617, 36.408418528930035], [-121.3637119499993, 36.41016684133052]]}, 'REFLECTIVE_SAMPLES': 7661, 'SUN_AZIMUTH': 146.23958, 'CPF_NAME': 'LC08CPF_20140101_20140331_01.01', 'DATE_ACQUIRED': '2014-03-18', 'ELLIPSOID': 'WGS84', 'google:registration_offset_x': 0.0, 'google:registration_offset_y': 0.0, 'STATION_ID': 'LGN', 'RESAMPLING_OPTION': 'CUBIC_CONVOLUTION', 'ORIENTATION': 'NORTH_UP', 'WRS_ROW': 34, 'RADIANCE_MULT_BAND_9': 0.0024117, 'TARGET_WRS_ROW': 34, 'RADIANCE_MULT_BAND_7': 0.00051725, 'RADIANCE_MULT_BAND_8': 0.011412, 'IMAGE_QUALITY_TIRS': 9, 'TRUNCATION_OLI': 'UPPER', 'CLOUD_COVER': 0.06, 'GEOMETRIC_RMSE_VERIFY': 3.249, 'COLLECTION_CATEGORY': 'T1', 'GRID_CELL_SIZE_REFLECTIVE': 30.0, 'CLOUD_COVER_LAND': 0.1, 'GEOMETRIC_RMSE_MODEL': 6.78, 'COLLECTION_NUMBER': 1, 'IMAGE_QUALITY_OLI': 9, 'LANDSAT_SCENE_ID': 'LC80440342014077LGN01', 'WRS_PATH': 44, 'google:registration_count': 0, 'PANCHROMATIC_SAMPLES': 15321, 'PANCHROMATIC_LINES': 15601, 'GEOMETRIC_RMSE_MODEL_Y': 4.747, 'REFLECTIVE_LINES': 7801, 'TIRS_STRAY_LIGHT_CORRECTION_SOURCE': 'TIRS', 'GEOMETRIC_RMSE_MODEL_X': 4.841, 'system:asset_size': 1105511852, 'system:index': 'LC08_044034_20140318', 'REFLECTANCE_ADD_BAND_1': -0.1, 'REFLECTANCE_ADD_BAND_2': -0.1, 'DATUM': 'WGS84', 'REFLECTANCE_ADD_BAND_3': -0.1, 'REFLECTANCE_ADD_BAND_4': -0.1, 'RLUT_FILE_NAME': 'LC08RLUT_20130211_20150302_01_11.h5', 'REFLECTANCE_ADD_BAND_5': -0.1, 'REFLECTANCE_ADD_BAND_6': -0.1, 'REFLECTANCE_ADD_BAND_7': -0.1, 'REFLECTANCE_ADD_BAND_8': -0.1, 'BPF_NAME_TIRS': 'LT8BPF20140318182855_20140318190505.01', 'GROUND_CONTROL_POINTS_VERSION': 4, 'DATA_TYPE': 'L1TP', 'UTM_ZONE': 10, 'LANDSAT_PRODUCT_ID': 'LC08_L1TP_044034_20140318_20170307_01_T1', 'REFLECTANCE_ADD_BAND_9': -0.1, 'google:registration_ratio': 0.0, 'GRID_CELL_SIZE_PANCHROMATIC': 15.0, 'RADIANCE_ADD_BAND_4': -50.41956, 'REFLECTANCE_MULT_BAND_7': 2e-05, 'system:time_start': 1395168392050, 'RADIANCE_ADD_BAND_5': -30.85425, 'REFLECTANCE_MULT_BAND_6': 2e-05, 'RADIANCE_ADD_BAND_6': -7.67317, 'REFLECTANCE_MULT_BAND_9': 2e-05, 'PROCESSING_SOFTWARE_VERSION': 'LPGS_2.7.0', 'RADIANCE_ADD_BAND_7': -2.58627, 'REFLECTANCE_MULT_BAND_8': 2e-05, 'RADIANCE_ADD_BAND_1': -63.36405, 'RADIANCE_ADD_BAND_2': -64.88556, 'RADIANCE_ADD_BAND_3': -59.79149, 'REFLECTANCE_MULT_BAND_1': 2e-05, 'RADIANCE_ADD_BAND_8': -57.06106, 'REFLECTANCE_MULT_BAND_3': 2e-05, 'RADIANCE_ADD_BAND_9': -12.05854, 'REFLECTANCE_MULT_BAND_2': 2e-05, 'REFLECTANCE_MULT_BAND_5': 2e-05, 'REFLECTANCE_MULT_BAND_4': 2e-05, 'THERMAL_LINES': 7801, 'TIRS_SSM_POSITION_STATUS': 'NOMINAL', 'GRID_CELL_SIZE_THERMAL': 30.0, 'NADIR_OFFNADIR': 'NADIR', 'RADIANCE_ADD_BAND_11': 0.1, 'REQUEST_ID': '0501703063989_00019', 'EARTH_SUN_DISTANCE': 0.9953709, 'TIRS_SSM_MODEL': 'ACTUAL', 'FILE_DATE': 1488849349000, 'SCENE_CENTER_TIME': '18:46:32.0535800Z', 'SUN_ELEVATION': 46.471066, 'BPF_NAME_OLI': 'LO8BPF20140318183249_20140318190412.01', 'RADIANCE_ADD_BAND_10': 0.1, 'ROLL_ANGLE': -0.001, 'K1_CONSTANT_BAND_10': 774.8853, 'SATURATION_BAND_1': 'Y', 'SATURATION_BAND_2': 'Y', 'SATURATION_BAND_3': 'Y', 'SATURATION_BAND_4': 'Y', 'SATURATION_BAND_5': 'Y', 'MAP_PROJECTION': 'UTM', 'SATURATION_BAND_6': 'Y', 'SENSOR_ID': 'OLI_TIRS', 'SATURATION_BAND_7': 'Y', 'K1_CONSTANT_BAND_11': 480.8883, 'SATURATION_BAND_8': 'N', 'SATURATION_BAND_9': 'N', 'TARGET_WRS_PATH': 44, 'RADIANCE_MULT_BAND_11': 0.0003342, 'RADIANCE_MULT_BAND_10': 0.0003342, 'GROUND_CONTROL_POINTS_MODEL': 527, 'SPACECRAFT_ID': 'LANDSAT_8', 'ELEVATION_SOURCE': 'GLS2000', 'THERMAL_SAMPLES': 7661, 'GROUND_CONTROL_POINTS_VERIFY': 164}}\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HYZSZ30To9ZW",
        "colab_type": "code",
        "outputId": "7496334b-d210-45c9-e8d0-7aac3310fff4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "print(img1)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "ee.Image({\n",
            "  \"type\": \"Invocation\",\n",
            "  \"arguments\": {\n",
            "    \"id\": \"LANDSAT/LC08/C01/T1_TOA/LC08_044034_20140318\"\n",
            "  },\n",
            "  \"functionName\": \"Image.load\"\n",
            "})\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "L9nR6w-ypoRD",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "t1_img=ee.Image(1)\n",
        "t2_img=ee.Image(2)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VRp9NqDAptil",
        "colab_type": "code",
        "outputId": "2ec4819c-5b29-4e9d-c445-e4e8553bb8f2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "print(t1_img)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "ee.Image({\n",
            "  \"type\": \"Invocation\",\n",
            "  \"arguments\": {\n",
            "    \"value\": 1\n",
            "  },\n",
            "  \"functionName\": \"Image.constant\"\n",
            "})\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "A2ciFEQIpvFC",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#ket hop\n",
        "t3_img=ee.Image.cat([t1_img,t2_img])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aDf4RB64qLS8",
        "colab_type": "code",
        "outputId": "498fed01-dea6-4586-88d9-2f8d02ab4a9f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        }
      },
      "source": [
        "print(t3_img)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "ee.Image({\n",
            "  \"type\": \"Invocation\",\n",
            "  \"arguments\": {\n",
            "    \"dstImg\": {\n",
            "      \"type\": \"Invocation\",\n",
            "      \"arguments\": {\n",
            "        \"value\": 1\n",
            "      },\n",
            "      \"functionName\": \"Image.constant\"\n",
            "    },\n",
            "    \"srcImg\": {\n",
            "      \"type\": \"Invocation\",\n",
            "      \"arguments\": {\n",
            "        \"value\": 2\n",
            "      },\n",
            "      \"functionName\": \"Image.constant\"\n",
            "    }\n",
            "  },\n",
            "  \"functionName\": \"Image.addBands\"\n",
            "})\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T04lnjPJqNAX",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#tao multyi bands\n",
        "t4_img_multibands=ee.Image([1,2,3])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zwpMF-xWqfMM",
        "colab_type": "code",
        "outputId": "07a7207d-8ce4-492f-d540-e26bbb673946",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 578
        }
      },
      "source": [
        "print(t4_img_multibands)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "ee.Image({\n",
            "  \"type\": \"Invocation\",\n",
            "  \"arguments\": {\n",
            "    \"dstImg\": {\n",
            "      \"type\": \"Invocation\",\n",
            "      \"arguments\": {\n",
            "        \"dstImg\": {\n",
            "          \"type\": \"Invocation\",\n",
            "          \"arguments\": {\n",
            "            \"value\": 1\n",
            "          },\n",
            "          \"functionName\": \"Image.constant\"\n",
            "        },\n",
            "        \"srcImg\": {\n",
            "          \"type\": \"Invocation\",\n",
            "          \"arguments\": {\n",
            "            \"value\": 2\n",
            "          },\n",
            "          \"functionName\": \"Image.constant\"\n",
            "        }\n",
            "      },\n",
            "      \"functionName\": \"Image.addBands\"\n",
            "    },\n",
            "    \"srcImg\": {\n",
            "      \"type\": \"Invocation\",\n",
            "      \"arguments\": {\n",
            "        \"value\": 3\n",
            "      },\n",
            "      \"functionName\": \"Image.constant\"\n",
            "    }\n",
            "  },\n",
            "  \"functionName\": \"Image.addBands\"\n",
            "})\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BXKvjkOZqgue",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "renamed=t4_img_multibands.select([\n",
        "    ['constant', 'constant_1', 'constant_2'],\n",
        "    ['band1', 'band2', 'band3']\n",
        "])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xSyJK9xZrH1J",
        "colab_type": "code",
        "outputId": "9c4c056d-a6c2-4944-b74a-0f7feda7504b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 884
        }
      },
      "source": [
        "print(renamed)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "ee.Image({\n",
            "  \"type\": \"Invocation\",\n",
            "  \"arguments\": {\n",
            "    \"input\": {\n",
            "      \"type\": \"Invocation\",\n",
            "      \"arguments\": {\n",
            "        \"dstImg\": {\n",
            "          \"type\": \"Invocation\",\n",
            "          \"arguments\": {\n",
            "            \"dstImg\": {\n",
            "              \"type\": \"Invocation\",\n",
            "              \"arguments\": {\n",
            "                \"value\": 1\n",
            "              },\n",
            "              \"functionName\": \"Image.constant\"\n",
            "            },\n",
            "            \"srcImg\": {\n",
            "              \"type\": \"Invocation\",\n",
            "              \"arguments\": {\n",
            "                \"value\": 2\n",
            "              },\n",
            "              \"functionName\": \"Image.constant\"\n",
            "            }\n",
            "          },\n",
            "          \"functionName\": \"Image.addBands\"\n",
            "        },\n",
            "        \"srcImg\": {\n",
            "          \"type\": \"Invocation\",\n",
            "          \"arguments\": {\n",
            "            \"value\": 3\n",
            "          },\n",
            "          \"functionName\": \"Image.constant\"\n",
            "        }\n",
            "      },\n",
            "      \"functionName\": \"Image.addBands\"\n",
            "    },\n",
            "    \"bandSelectors\": [\n",
            "      [\n",
            "        \"constant\",\n",
            "        \"constant_1\",\n",
            "        \"constant_2\"\n",
            "      ],\n",
            "      [\n",
            "        \"band1\",\n",
            "        \"band2\",\n",
            "        \"band3\"\n",
            "      ]\n",
            "    ]\n",
            "  },\n",
            "  \"functionName\": \"Image.select\"\n",
            "})\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9ACIdZqdrbIg",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "t5_img=t3_img.addBands(ee.Image(42))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "C9RZHIuWrvJj",
        "colab_type": "code",
        "outputId": "97da95e5-400b-4549-ee0b-77069f112da7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 578
        }
      },
      "source": [
        "print(t5_img)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "ee.Image({\n",
            "  \"type\": \"Invocation\",\n",
            "  \"arguments\": {\n",
            "    \"dstImg\": {\n",
            "      \"type\": \"Invocation\",\n",
            "      \"arguments\": {\n",
            "        \"dstImg\": {\n",
            "          \"type\": \"Invocation\",\n",
            "          \"arguments\": {\n",
            "            \"value\": 1\n",
            "          },\n",
            "          \"functionName\": \"Image.constant\"\n",
            "        },\n",
            "        \"srcImg\": {\n",
            "          \"type\": \"Invocation\",\n",
            "          \"arguments\": {\n",
            "            \"value\": 2\n",
            "          },\n",
            "          \"functionName\": \"Image.constant\"\n",
            "        }\n",
            "      },\n",
            "      \"functionName\": \"Image.addBands\"\n",
            "    },\n",
            "    \"srcImg\": {\n",
            "      \"type\": \"Invocation\",\n",
            "      \"arguments\": {\n",
            "        \"value\": 42\n",
            "      },\n",
            "      \"functionName\": \"Image.constant\"\n",
            "    }\n",
            "  },\n",
            "  \"functionName\": \"Image.addBands\"\n",
            "})\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KV_jH4Wrrwty",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}