land_cover_map.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Land cover map\n",
        "\n",
        "### Resources\n",
        "- https://geemap.org/notebooks/46_local_rf_training/"
      ],
      "metadata": {
        "id": "sXRtuOuid6DZ"
      },
      "id": "sXRtuOuid6DZ"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N9J0jJXpBgM1"
      },
      "source": [
        "## Setup"
      ],
      "id": "N9J0jJXpBgM1"
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "import pandas as pd\n",
        "import geopandas as gpd\n",
        "from shapely.geometry import mapping\n",
        "import ee\n",
        "import geemap\n",
        "from geemap import ml"
      ],
      "metadata": {
        "id": "hiWa17E0uS1I"
      },
      "id": "hiWa17E0uS1I",
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "id": "nlMI9FWLFbRV",
        "outputId": "c8129c48-a3a3-43fa-ee38-737500499c2f"
      },
      "id": "nlMI9FWLFbRV",
      "execution_count": 2,
      "outputs": [
        {
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          "data": {
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              "<IPython.core.display.HTML object>"
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              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
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              "                .geemap-colab {\n",
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              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
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              "            </style>\n",
              "            "
            ]
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          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd /content/drive/MyDrive/land_cover_classification_kaza"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
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              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
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          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/MyDrive/land_cover_classification_kaza\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "user_id = 'ee-alexvmt'\n",
        "asset_name = 'mufunta_random_forest_trees'"
      ],
      "metadata": {
        "id": "zQttBkM9Fh-k",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "outputId": "fe4cde76-272b-46f6-ef33-f231f9ea2538"
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      "id": "zQttBkM9Fh-k",
      "execution_count": 4,
      "outputs": [
        {
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          "data": {
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              "<IPython.core.display.HTML object>"
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            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ee.Authenticate()\n",
        "ee.Initialize(project=user_id)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "gzCM4Z__AmQz",
        "outputId": "4eb12db0-880a-4bf1-a4ea-ec85253ea33f"
      },
      "id": "gzCM4Z__AmQz",
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
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              "            "
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          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pfqNnX5EBgNH"
      },
      "source": [
        "## Load roi to be classified"
      ],
      "id": "pfqNnX5EBgNH"
    },
    {
      "cell_type": "code",
      "source": [
        "# load roi\n",
        "roi = gpd.read_file('data/Mufunta.shp')\n",
        "roi"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 200
        },
        "id": "0oCpxN_cLZJX",
        "outputId": "b1ba3de8-81ad-4733-a31c-a00a1ccb6b09"
      },
      "id": "0oCpxN_cLZJX",
      "execution_count": 6,
      "outputs": [
        {
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              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
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              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
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              "            "
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        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        WDPAID   WDPA_PID PA_DEF     NAME ORIG_NAME                 DESIG  \\\n",
              "0  555626090.0  555626090      1  Mufunta   Mufunta  Game Management Area   \n",
              "\n",
              "              DESIG_ENG DESIG_TYPE      IUCN_CAT        INT_CRIT  ...  \\\n",
              "0  Game Management Area   National  Not Reported  Not Applicable  ...   \n",
              "\n",
              "      MANG_PLAN           VERIF  METADATAID       SUB_LOC  PARENT_ISO ISO3  \\\n",
              "0  Not Reported  State Verified         943  Not Reported         ZMB  ZMB   \n",
              "\n",
              "        SUPP_INFO        CONS_OBJ  area_km2  \\\n",
              "0  Not Applicable  Not Applicable   6938.41   \n",
              "\n",
              "                                            geometry  \n",
              "0  POLYGON ((25.58421 -14.53576, 25.58513 -14.539...  \n",
              "\n",
              "[1 rows x 32 columns]"
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>WDPAID</th>\n",
              "      <th>WDPA_PID</th>\n",
              "      <th>PA_DEF</th>\n",
              "      <th>NAME</th>\n",
              "      <th>ORIG_NAME</th>\n",
              "      <th>DESIG</th>\n",
              "      <th>DESIG_ENG</th>\n",
              "      <th>DESIG_TYPE</th>\n",
              "      <th>IUCN_CAT</th>\n",
              "      <th>INT_CRIT</th>\n",
              "      <th>...</th>\n",
              "      <th>MANG_PLAN</th>\n",
              "      <th>VERIF</th>\n",
              "      <th>METADATAID</th>\n",
              "      <th>SUB_LOC</th>\n",
              "      <th>PARENT_ISO</th>\n",
              "      <th>ISO3</th>\n",
              "      <th>SUPP_INFO</th>\n",
              "      <th>CONS_OBJ</th>\n",
              "      <th>area_km2</th>\n",
              "      <th>geometry</th>\n",
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              "  </thead>\n",
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              "      <th>0</th>\n",
              "      <td>555626090.0</td>\n",
              "      <td>555626090</td>\n",
              "      <td>1</td>\n",
              "      <td>Mufunta</td>\n",
              "      <td>Mufunta</td>\n",
              "      <td>Game Management Area</td>\n",
              "      <td>Game Management Area</td>\n",
              "      <td>National</td>\n",
              "      <td>Not Reported</td>\n",
              "      <td>Not Applicable</td>\n",
              "      <td>...</td>\n",
              "      <td>Not Reported</td>\n",
              "      <td>State Verified</td>\n",
              "      <td>943</td>\n",
              "      <td>Not Reported</td>\n",
              "      <td>ZMB</td>\n",
              "      <td>ZMB</td>\n",
              "      <td>Not Applicable</td>\n",
              "      <td>Not Applicable</td>\n",
              "      <td>6938.41</td>\n",
              "      <td>POLYGON ((25.58421 -14.53576, 25.58513 -14.539...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1 rows × 32 columns</p>\n",
              "</div>\n",
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              "\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "    .colab-df-buttons div {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "  </style>\n",
              "\n",
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              "\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "roi"
            }
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# turn roi polygon into list of points for clipping image\n",
        "poly = roi[['geometry']].iloc[0][0]\n",
        "poly_mapped = mapping(poly)\n",
        "poly_coordinates = list(poly_mapped['coordinates'][0])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "lnFJMla7NZX6",
        "outputId": "f10335f5-333c-4be6-f4e4-7a2a7ac1b002"
      },
      "id": "lnFJMla7NZX6",
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Load imagery to be classified"
      ],
      "metadata": {
        "id": "U3pyClsveevF"
      },
      "id": "U3pyClsveevF"
    },
    {
      "cell_type": "code",
      "source": [
        "start_date = '2023-01-01'\n",
        "end_date = '2024-01-01'\n",
        "s2_bands = ['B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B8', 'B8A', 'B11', 'B12']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "rrT7MqoWF8lg",
        "outputId": "d0a81d07-4cb5-4e91-fc57-df01196647f3"
      },
      "id": "rrT7MqoWF8lg",
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
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              "<IPython.core.display.HTML object>"
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            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
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              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
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              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
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              "            "
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      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "FR_92sp7BgNH",
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          "height": 17
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        "outputId": "afd743c1-305b-4f02-c2d4-e5e93497b721"
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        {
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              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
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              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "s2_collection = ee.ImageCollection('COPERNICUS/S2_SR_HARMONIZED')\\\n",
        "  .filterDate(start_date, end_date)\\\n",
        "  .filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 20))\\\n",
        "  .select(s2_bands)"
      ],
      "id": "FR_92sp7BgNH"
    },
    {
      "cell_type": "code",
      "source": [
        "# Q1\n",
        "s2_composite_q1 = s2_collection\\\n",
        "\t.filterDate('2023-01-01', '2023-04-01')\\\n",
        "\t.median()\\\n",
        "\t.rename(['B2_Q1', 'B3_Q1', 'B4_Q1', 'B5_Q1', 'B6_Q1', 'B7_Q1', 'B8_Q1', 'B8A_Q1', 'B11_Q1', 'B12_Q1'])\n",
        "\n",
        " # Q2\n",
        "s2_composite_q2 = s2_collection\\\n",
        "\t.filterDate('2023-04-01', '2023-07-01')\\\n",
        "\t.median()\\\n",
        "\t.rename(['B2_Q2', 'B3_Q2', 'B4_Q2', 'B5_Q2', 'B6_Q2', 'B7_Q2', 'B8_Q2', 'B8A_Q2', 'B11_Q2', 'B12_Q2'])\n",
        "\n",
        "# Q3\n",
        "s2_composite_q3 = s2_collection\\\n",
        "\t.filterDate('2023-07-01', '2023-10-01')\\\n",
        "\t.median()\\\n",
        "\t.rename(['B2_Q3', 'B3_Q3', 'B4_Q3', 'B5_Q3', 'B6_Q3', 'B7_Q3', 'B8_Q3', 'B8A_Q3', 'B11_Q3', 'B12_Q3'])\n",
        "\n",
        "# Q4\n",
        "s2_composite_q4 = s2_collection\\\n",
        "\t.filterDate('2023-10-01', '2024-01-01')\\\n",
        "\t.median()\\\n",
        "\t.rename(['B2_Q4', 'B3_Q4', 'B4_Q4', 'B5_Q4', 'B6_Q4', 'B7_Q4', 'B8_Q4', 'B8A_Q4', 'B11_Q4', 'B12_Q4'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "sKB710v4fAwG",
        "outputId": "03eeabfc-edfa-42a0-c444-99ea3be4d2b2"
      },
      "id": "sKB710v4fAwG",
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "combined_data = s2_composite_q1\\\n",
        "\t.addBands([s2_composite_q2])\\\n",
        "\t.addBands([s2_composite_q3])\\\n",
        "\t.addBands([s2_composite_q4])\\\n",
        "  .clip(ee.Geometry.Polygon(poly_coordinates, proj=None))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "Y5IG68kDgZO8",
        "outputId": "2c0aeb7d-f058-4f47-ad6a-98979f19a843"
      },
      "id": "Y5IG68kDgZO8",
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Create land cover map using classifier saved in the cloud"
      ],
      "metadata": {
        "id": "WIi_c1b58znc"
      },
      "id": "WIi_c1b58znc"
    },
    {
      "cell_type": "code",
      "source": [
        "asset_id = 'projects/' + user_id + '/assets/' + asset_name"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "3D1jkf8PBiEO",
        "outputId": "78f1d59f-f30d-40fd-e4f8-2acc0327b68f"
      },
      "id": "3D1jkf8PBiEO",
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "id": "opPjuyPPBgNM",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "outputId": "31b48e76-ef33-4dd6-cb03-fc6907e648b7"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "# read exported tree feature collection\n",
        "rf_fc = ee.FeatureCollection(asset_id)\n",
        "\n",
        "# convert it to a classifier, very similar to the `ml.trees_to_classifier` function\n",
        "classifier = ml.fc_to_classifier(rf_fc)\n",
        "\n",
        "# classify image\n",
        "classified_image = combined_data.classify(classifier)"
      ],
      "id": "opPjuyPPBgNM"
    },
    {
      "cell_type": "code",
      "source": [
        "center = [poly.centroid.y, poly.centroid.x]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "v4FChpAMPJpV",
        "outputId": "7d3a324f-f579-4521-de8f-6664c88ea103"
      },
      "id": "v4FChpAMPJpV",
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# colors according to Dynamic World V1\n",
        "palette = ['419bdf', # water\n",
        "           'a59b8f', # bare\n",
        "           'c4281b', # built up\n",
        "           'e49635', # cropland\n",
        "           '88b053', # grass\n",
        "           'dfc35a', # shrub\n",
        "           '397d49', # forest\n",
        "           '7a87c6'] # wetland"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "qrUDytW8Glu_",
        "outputId": "0dbf34a4-0d40-41df-eec6-b80fd78a0f47"
      },
      "id": "qrUDytW8Glu_",
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "legend_keys = ['Water', 'Bare', 'Built up', 'Cropland', 'Grass', 'Shrub', 'Forest', 'Wetland']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "RhrkIA1yKrDU",
        "outputId": "449cf6ba-f7fe-432e-ae71-4dd8be1798fb"
      },
      "id": "RhrkIA1yKrDU",
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "s2_image = s2_collection\\\n",
        "  .median()\\\n",
        "  .clip(ee.Geometry.Polygon(poly_coordinates, proj=None))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "ZYKzSW-Ihs5Z",
        "outputId": "63a0c272-0f72-43fc-d586-c88db13a57cc"
      },
      "id": "ZYKzSW-Ihs5Z",
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "id": "hcTfMkxiBgNN",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 621,
          "referenced_widgets": [
            "a8055611b5d94cb493c64446115e24e1",
            "9075cca61dcc44d2a0579af304e0851e",
            "e0c70a633720499d8093c73f6c2b048b",
            "15345f5d4e02472db90b9bd701fd80bb",
            "8ca2f2127e154516b78c2488f4ecf672",
            "8a56fbadc025494daaf166faafd7cc47",
            "0435154d5b1c483791df609d9fa109e3",
            "edfc53d6c7d0497a87696693aa597033",
            "e11a56184b5d4748bafd0b375c46400d",
            "d49af55b2a1a47b1ad60dc77e5ac2477",
            "b82bd49bc67746fc9dae9cb723c0eb77",
            "a4a5f300fd1d4214b88362eeb1a945c9",
            "33f3bc3d22154f15befa46ba35732388",
            "e90967b2e3724d1c81f6db728180e3a8",
            "63bd8b162ad249f9bdb76f99aae3ed64",
            "af7ea863aeb34349897ee4b919d6829c",
            "b752f1ca65314ed096c5d5320cc812fc",
            "610d3bf7df3445699f7b678180dcfe02",
            "61c478a8b35245da9a186f3b142a830c",
            "0d9011e8370b47f692ddde46677a020e",
            "707395c4b5f346e9beeb39149d61222a",
            "a512477f1afc49a89dfcf1d509d047cb",
            "7cd3155d897141dc8aa39b6443677cd8",
            "e54bfac6f97e4c42854ec9e8b2d64438",
            "1bbf4ca2197c4167ad2d21401f3c1ddc",
            "c54a8201e652433ab7086128a066c318",
            "a189d9e05d7941628fe7c406a155e353",
            "7abe847bee4f4d8d97227552b3f3d08c",
            "12af65c9b76e46eeb773361576904868",
            "fa42d4133269443cae8b5e34980df771",
            "b278afb5cdf24e52be8a0654206fd7d2",
            "592e538e12b34297b1c403b0b8567d6a",
            "f13e453f13db4eb6b14ef7584caeef35",
            "a5b27a4bbf3d4c71901f775eb08cdfea",
            "943b9fb001fd493c8baf43d7db61e80a",
            "8cf989b4591a4e8daf4bf1e92955161e",
            "403bb18995314519b7c0d4df2711fe22",
            "47ee9e4cbce44f72887dcbd9204d880e",
            "a25e83ab497a41dc9ece57c214199c30",
            "d177bf90647d47b8b3ef43e816eaeade",
            "7f2e0ef50bc348c6a4215a2e4f4bb6b9",
            "f8dd760577e0454081b39d90b5ce75e6",
            "134cfdf97e60495fab822e17c71d68ef"
          ]
        },
        "outputId": "bf130734-395a-4ac4-f514-753acf9b21c3"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Map(center=[-15.33641924291382, 25.16615805807083], controls=(WidgetControl(options=['position', 'transparent_…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "a8055611b5d94cb493c64446115e24e1"
            }
          },
          "metadata": {
            "application/vnd.jupyter.widget-view+json": {
              "colab": {
                "custom_widget_manager": {
                  "url": "https://ssl.gstatic.com/colaboratory-static/widgets/colab-cdn-widget-manager/2b70e893a8ba7c0f/manager.min.js"
                }
              }
            }
          }
        }
      ],
      "source": [
        "# display results\n",
        "Map = geemap.Map(center=center, zoom=9)\n",
        "\n",
        "Map.addLayer(\n",
        "    s2_image,\n",
        "    {'bands': ['B4', 'B3', 'B2'], 'min': 0, 'max': 3000},\n",
        "    'RGB image',\n",
        ")\n",
        "\n",
        "Map.addLayer(\n",
        "    classified_image,\n",
        "    {'min': 1, 'max': 8, 'palette': palette},\n",
        "    'Land cover map',\n",
        ")\n",
        "\n",
        "Map.add_legend(keys=legend_keys, colors=palette, position='bottomleft')\n",
        "\n",
        "Map"
      ],
      "id": "hcTfMkxiBgNN"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "x86T2YYiBgNN"
      },
      "source": [
        "## Create land cover map using locally saved classifier"
      ],
      "id": "x86T2YYiBgNN"
    },
    {
      "cell_type": "code",
      "source": [
        "classifier = ml.csv_to_classifier('models/trees.csv')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "7ODNWyyqCdn5",
        "outputId": "a5562ded-33e5-4fc7-8d26-5a531fe08a30"
      },
      "id": "7ODNWyyqCdn5",
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
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        }
      ]
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    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "id": "uMX4zABqBgNP",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "outputId": "ea15eace-9cb9-4368-ca53-21f10592666e"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "classified_image = combined_data.classify(classifier)"
      ],
      "id": "uMX4zABqBgNP"
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "id": "cOx1Gct0BgNQ",
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          "height": 621,
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        },
        "outputId": "c5f4b71c-ae05-43ca-bb0b-34aeb3b4178a"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Map(center=[-15.33641924291382, 25.16615805807083], controls=(WidgetControl(options=['position', 'transparent_…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
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      ],
      "source": [
        "# display results\n",
        "Map = geemap.Map(center=center, zoom=9)\n",
        "\n",
        "Map.addLayer(\n",
        "    s2_image,\n",
        "    {'bands': ['B4', 'B3', 'B2'], 'min': 0, 'max': 3000},\n",
        "    'RGB image',\n",
        ")\n",
        "\n",
        "Map.addLayer(\n",
        "    classified_image,\n",
        "    {'min': 1, 'max': 8, 'palette': palette},\n",
        "    'Land cover map',\n",
        ")\n",
        "\n",
        "Map.add_legend(keys=legend_keys, colors=palette, position='bottomleft')\n",
        "\n",
        "Map"
      ],
      "id": "cOx1Gct0BgNQ"
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      "source": [
        "# save classified image\n",
        "# use script classified_image.js in ee\n",
        "task = ee.batch.Export.image.toDrive(\n",
        "    image=classified_image,\n",
        "    description='classified_image',\n",
        "    folder='land_cover_classification_kaza',\n",
        "    region=ee.Geometry.Polygon(poly_coordinates, proj=None),\n",
        "    scale=10,\n",
        "    maxPixels=1e13\n",
        ")\n",
        "task.start()"
      ],
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      "id": "F6nMoyG5cCkW",
      "execution_count": 29,
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              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
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              "                .geemap-colab .jupyter-button {\n",
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