train_and_test_set.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Train and test set\n",
        "\n",
        "### Feature groups\n",
        "- raw Sentinel-2 bands\n",
        "- indices based on raw Sentinel-2 bands (e.g. NDVI, NDWI, SAVI, EVI)\n",
        "\n",
        "### More advanced ideas\n",
        "- seasonal, quarterly and monthly time series\n",
        "- min, max, median indices"
      ],
      "metadata": {
        "id": "sXRtuOuid6DZ"
      },
      "id": "sXRtuOuid6DZ"
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Setup"
      ],
      "metadata": {
        "id": "VTbh1c0pFRHy"
      },
      "id": "VTbh1c0pFRHy"
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "import pandas as pd"
      ],
      "metadata": {
        "id": "hiWa17E0uS1I"
      },
      "id": "hiWa17E0uS1I",
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nlMI9FWLFbRV",
        "outputId": "980e88ab-6f43-45cf-f37b-7b07ff4d13ec"
      },
      "id": "nlMI9FWLFbRV",
      "execution_count": 2,
      "outputs": [
        {
          "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/"
        },
        "id": "tr2IrxYMuY6s",
        "outputId": "3a691161-8de7-492e-a0d9-4df509905f8a"
      },
      "id": "tr2IrxYMuY6s",
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/MyDrive/land_cover_classification_kaza\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pUK7uPKSBgM5"
      },
      "source": [
        "## Load and prepare raw data\n",
        "\n",
        "We're using the labels provided by Nuno and the according Sentinel-2 bands."
      ],
      "id": "pUK7uPKSBgM5"
    },
    {
      "cell_type": "code",
      "source": [
        "raw_data = pd.read_csv('data/raw_data.csv')\n",
        "raw_data.shape"
      ],
      "metadata": {
        "id": "ZlZkMycvF4JN",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9d3ecd15-a2b3-4007-9628-0932ed3d8201"
      },
      "id": "ZlZkMycvF4JN",
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(267442, 45)"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "raw_data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 531
        },
        "id": "vJCeJJdAlmBw",
        "outputId": "ed7c28d7-03dd-472b-86e1-08f10c35809a"
      },
      "id": "vJCeJJdAlmBw",
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                    system:index  B11_Q1  B11_Q2  B11_Q3  B11_Q4  B12_Q1  \\\n",
              "0         00000000000000000010_0  2406.0  2806.0  3126.0  3612.0  1597.0   \n",
              "1         00000000000000000010_1  2521.0  2917.0  3280.5  3835.0  1558.0   \n",
              "2         00000000000000000010_2  2521.0  2917.0  3280.5  3835.0  1558.0   \n",
              "3         00000000000000000010_3  2381.0  2893.5  3291.0  3848.0  1407.0   \n",
              "4         00000000000000000010_4  2381.0  2893.5  3291.0  3848.0  1407.0   \n",
              "...                          ...     ...     ...     ...     ...     ...   \n",
              "267437  00000000000000000561_158  1198.0  2491.5  1830.5  3264.0   664.0   \n",
              "267438  00000000000000000561_159  1216.0  2411.0  1741.0  3216.0   688.0   \n",
              "267439  00000000000000000561_160  1216.0  2411.0  1741.0  3216.0   688.0   \n",
              "267440  00000000000000000561_161  1198.0  2491.5  1830.5  3264.0   664.0   \n",
              "267441  00000000000000000561_162  1216.0  2411.0  1741.0  3216.0   688.0   \n",
              "\n",
              "        B12_Q2  B12_Q3  B12_Q4  B2_Q1  ...  B8A_Q3  B8A_Q4   B8_Q1   B8_Q2  \\\n",
              "0       1888.0  2266.5  3276.0  571.0  ...  2509.5  2606.0  2770.0  2535.5   \n",
              "1       1909.0  2320.5  3677.0  556.0  ...  2570.0  2552.0  2684.0  2535.0   \n",
              "2       1909.0  2320.5  3677.0  520.0  ...  2570.0  2552.0  2732.0  2502.0   \n",
              "3       1877.0  2218.0  3823.0  468.0  ...  2506.5  2421.0  2680.0  2430.0   \n",
              "4       1877.0  2218.0  3823.0  424.0  ...  2506.5  2421.0  2602.0  2397.0   \n",
              "...        ...     ...     ...    ...  ...     ...     ...     ...     ...   \n",
              "267437  1679.5  1945.0  3113.0  275.0  ...   960.0  1655.0  1454.0  1940.5   \n",
              "267438  1587.0  1798.0  3039.0  273.0  ...   912.5  1625.0  1448.0  1904.0   \n",
              "267439  1587.0  1798.0  3039.0  294.0  ...   912.5  1625.0  1460.0  1926.5   \n",
              "267440  1679.5  1945.0  3113.0  292.0  ...   960.0  1655.0  1534.0  1931.5   \n",
              "267441  1587.0  1798.0  3039.0  295.0  ...   912.5  1625.0  1592.0  1934.0   \n",
              "\n",
              "         B8_Q3   B8_Q4  LC_Nr      LC_Out  Landcover  \\\n",
              "0       2494.0  2540.0      4  Active cro   Cropland   \n",
              "1       2601.0  2408.0      4  Active cro   Cropland   \n",
              "2       2616.5  2374.0      4  Active cro   Cropland   \n",
              "3       2503.0  2330.0      4  Active cro   Cropland   \n",
              "4       2457.0  2282.0      4  Active cro   Cropland   \n",
              "...        ...     ...    ...         ...        ...   \n",
              "267437   848.5  1450.0      8     Wetland    Wetland   \n",
              "267438   908.0  1456.0      8     Wetland    Wetland   \n",
              "267439   940.0  1444.0      8     Wetland    Wetland   \n",
              "267440   764.5  1460.0      8     Wetland    Wetland   \n",
              "267441   763.0  1398.0      8     Wetland    Wetland   \n",
              "\n",
              "                                                     .geo  \n",
              "0       {\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...  \n",
              "1       {\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...  \n",
              "2       {\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...  \n",
              "3       {\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...  \n",
              "4       {\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...  \n",
              "...                                                   ...  \n",
              "267437  {\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...  \n",
              "267438  {\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...  \n",
              "267439  {\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...  \n",
              "267440  {\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...  \n",
              "267441  {\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...  \n",
              "\n",
              "[267442 rows x 45 columns]"
            ],
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>system:index</th>\n",
              "      <th>B11_Q1</th>\n",
              "      <th>B11_Q2</th>\n",
              "      <th>B11_Q3</th>\n",
              "      <th>B11_Q4</th>\n",
              "      <th>B12_Q1</th>\n",
              "      <th>B12_Q2</th>\n",
              "      <th>B12_Q3</th>\n",
              "      <th>B12_Q4</th>\n",
              "      <th>B2_Q1</th>\n",
              "      <th>...</th>\n",
              "      <th>B8A_Q3</th>\n",
              "      <th>B8A_Q4</th>\n",
              "      <th>B8_Q1</th>\n",
              "      <th>B8_Q2</th>\n",
              "      <th>B8_Q3</th>\n",
              "      <th>B8_Q4</th>\n",
              "      <th>LC_Nr</th>\n",
              "      <th>LC_Out</th>\n",
              "      <th>Landcover</th>\n",
              "      <th>.geo</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>00000000000000000010_0</td>\n",
              "      <td>2406.0</td>\n",
              "      <td>2806.0</td>\n",
              "      <td>3126.0</td>\n",
              "      <td>3612.0</td>\n",
              "      <td>1597.0</td>\n",
              "      <td>1888.0</td>\n",
              "      <td>2266.5</td>\n",
              "      <td>3276.0</td>\n",
              "      <td>571.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2509.5</td>\n",
              "      <td>2606.0</td>\n",
              "      <td>2770.0</td>\n",
              "      <td>2535.5</td>\n",
              "      <td>2494.0</td>\n",
              "      <td>2540.0</td>\n",
              "      <td>4</td>\n",
              "      <td>Active cro</td>\n",
              "      <td>Cropland</td>\n",
              "      <td>{\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>00000000000000000010_1</td>\n",
              "      <td>2521.0</td>\n",
              "      <td>2917.0</td>\n",
              "      <td>3280.5</td>\n",
              "      <td>3835.0</td>\n",
              "      <td>1558.0</td>\n",
              "      <td>1909.0</td>\n",
              "      <td>2320.5</td>\n",
              "      <td>3677.0</td>\n",
              "      <td>556.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2570.0</td>\n",
              "      <td>2552.0</td>\n",
              "      <td>2684.0</td>\n",
              "      <td>2535.0</td>\n",
              "      <td>2601.0</td>\n",
              "      <td>2408.0</td>\n",
              "      <td>4</td>\n",
              "      <td>Active cro</td>\n",
              "      <td>Cropland</td>\n",
              "      <td>{\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>00000000000000000010_2</td>\n",
              "      <td>2521.0</td>\n",
              "      <td>2917.0</td>\n",
              "      <td>3280.5</td>\n",
              "      <td>3835.0</td>\n",
              "      <td>1558.0</td>\n",
              "      <td>1909.0</td>\n",
              "      <td>2320.5</td>\n",
              "      <td>3677.0</td>\n",
              "      <td>520.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2570.0</td>\n",
              "      <td>2552.0</td>\n",
              "      <td>2732.0</td>\n",
              "      <td>2502.0</td>\n",
              "      <td>2616.5</td>\n",
              "      <td>2374.0</td>\n",
              "      <td>4</td>\n",
              "      <td>Active cro</td>\n",
              "      <td>Cropland</td>\n",
              "      <td>{\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>00000000000000000010_3</td>\n",
              "      <td>2381.0</td>\n",
              "      <td>2893.5</td>\n",
              "      <td>3291.0</td>\n",
              "      <td>3848.0</td>\n",
              "      <td>1407.0</td>\n",
              "      <td>1877.0</td>\n",
              "      <td>2218.0</td>\n",
              "      <td>3823.0</td>\n",
              "      <td>468.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2506.5</td>\n",
              "      <td>2421.0</td>\n",
              "      <td>2680.0</td>\n",
              "      <td>2430.0</td>\n",
              "      <td>2503.0</td>\n",
              "      <td>2330.0</td>\n",
              "      <td>4</td>\n",
              "      <td>Active cro</td>\n",
              "      <td>Cropland</td>\n",
              "      <td>{\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>00000000000000000010_4</td>\n",
              "      <td>2381.0</td>\n",
              "      <td>2893.5</td>\n",
              "      <td>3291.0</td>\n",
              "      <td>3848.0</td>\n",
              "      <td>1407.0</td>\n",
              "      <td>1877.0</td>\n",
              "      <td>2218.0</td>\n",
              "      <td>3823.0</td>\n",
              "      <td>424.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2506.5</td>\n",
              "      <td>2421.0</td>\n",
              "      <td>2602.0</td>\n",
              "      <td>2397.0</td>\n",
              "      <td>2457.0</td>\n",
              "      <td>2282.0</td>\n",
              "      <td>4</td>\n",
              "      <td>Active cro</td>\n",
              "      <td>Cropland</td>\n",
              "      <td>{\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...</td>\n",
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              "      <th>267437</th>\n",
              "      <td>00000000000000000561_158</td>\n",
              "      <td>1198.0</td>\n",
              "      <td>2491.5</td>\n",
              "      <td>1830.5</td>\n",
              "      <td>3264.0</td>\n",
              "      <td>664.0</td>\n",
              "      <td>1679.5</td>\n",
              "      <td>1945.0</td>\n",
              "      <td>3113.0</td>\n",
              "      <td>275.0</td>\n",
              "      <td>...</td>\n",
              "      <td>960.0</td>\n",
              "      <td>1655.0</td>\n",
              "      <td>1454.0</td>\n",
              "      <td>1940.5</td>\n",
              "      <td>848.5</td>\n",
              "      <td>1450.0</td>\n",
              "      <td>8</td>\n",
              "      <td>Wetland</td>\n",
              "      <td>Wetland</td>\n",
              "      <td>{\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...</td>\n",
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              "    <tr>\n",
              "      <th>267438</th>\n",
              "      <td>00000000000000000561_159</td>\n",
              "      <td>1216.0</td>\n",
              "      <td>2411.0</td>\n",
              "      <td>1741.0</td>\n",
              "      <td>3216.0</td>\n",
              "      <td>688.0</td>\n",
              "      <td>1587.0</td>\n",
              "      <td>1798.0</td>\n",
              "      <td>3039.0</td>\n",
              "      <td>273.0</td>\n",
              "      <td>...</td>\n",
              "      <td>912.5</td>\n",
              "      <td>1625.0</td>\n",
              "      <td>1448.0</td>\n",
              "      <td>1904.0</td>\n",
              "      <td>908.0</td>\n",
              "      <td>1456.0</td>\n",
              "      <td>8</td>\n",
              "      <td>Wetland</td>\n",
              "      <td>Wetland</td>\n",
              "      <td>{\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...</td>\n",
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              "    <tr>\n",
              "      <th>267439</th>\n",
              "      <td>00000000000000000561_160</td>\n",
              "      <td>1216.0</td>\n",
              "      <td>2411.0</td>\n",
              "      <td>1741.0</td>\n",
              "      <td>3216.0</td>\n",
              "      <td>688.0</td>\n",
              "      <td>1587.0</td>\n",
              "      <td>1798.0</td>\n",
              "      <td>3039.0</td>\n",
              "      <td>294.0</td>\n",
              "      <td>...</td>\n",
              "      <td>912.5</td>\n",
              "      <td>1625.0</td>\n",
              "      <td>1460.0</td>\n",
              "      <td>1926.5</td>\n",
              "      <td>940.0</td>\n",
              "      <td>1444.0</td>\n",
              "      <td>8</td>\n",
              "      <td>Wetland</td>\n",
              "      <td>Wetland</td>\n",
              "      <td>{\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...</td>\n",
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              "    <tr>\n",
              "      <th>267440</th>\n",
              "      <td>00000000000000000561_161</td>\n",
              "      <td>1198.0</td>\n",
              "      <td>2491.5</td>\n",
              "      <td>1830.5</td>\n",
              "      <td>3264.0</td>\n",
              "      <td>664.0</td>\n",
              "      <td>1679.5</td>\n",
              "      <td>1945.0</td>\n",
              "      <td>3113.0</td>\n",
              "      <td>292.0</td>\n",
              "      <td>...</td>\n",
              "      <td>960.0</td>\n",
              "      <td>1655.0</td>\n",
              "      <td>1534.0</td>\n",
              "      <td>1931.5</td>\n",
              "      <td>764.5</td>\n",
              "      <td>1460.0</td>\n",
              "      <td>8</td>\n",
              "      <td>Wetland</td>\n",
              "      <td>Wetland</td>\n",
              "      <td>{\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>267441</th>\n",
              "      <td>00000000000000000561_162</td>\n",
              "      <td>1216.0</td>\n",
              "      <td>2411.0</td>\n",
              "      <td>1741.0</td>\n",
              "      <td>3216.0</td>\n",
              "      <td>688.0</td>\n",
              "      <td>1587.0</td>\n",
              "      <td>1798.0</td>\n",
              "      <td>3039.0</td>\n",
              "      <td>295.0</td>\n",
              "      <td>...</td>\n",
              "      <td>912.5</td>\n",
              "      <td>1625.0</td>\n",
              "      <td>1592.0</td>\n",
              "      <td>1934.0</td>\n",
              "      <td>763.0</td>\n",
              "      <td>1398.0</td>\n",
              "      <td>8</td>\n",
              "      <td>Wetland</td>\n",
              "      <td>Wetland</td>\n",
              "      <td>{\"geodesic\":false,\"type\":\"Point\",\"coordinates\"...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>267442 rows × 45 columns</p>\n",
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              "        document.querySelector('#df-80414676-f88f-4694-9477-26ea07125daf button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-80414676-f88f-4694-9477-26ea07125daf');\n",
              "        const dataTable =\n",
              "          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",
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              "\n",
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              "  .colab-df-quickchart:hover {\n",
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              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
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              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
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              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
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              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "    90% {\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "    async function quickchart(key) {\n",
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              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "raw_data"
            }
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "raw_data = raw_data.drop(['system:index', '.geo'], axis=1)"
      ],
      "metadata": {
        "id": "yjBSSHfYg494"
      },
      "id": "yjBSSHfYg494",
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# remove land cover class deforestation as it is not needed in this use case\n",
        "raw_data = raw_data[raw_data['Landcover'] != 'Deforestation']\n",
        "raw_data.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "um5dH8fBe6rE",
        "outputId": "d5751ef2-b4a0-4481-cb62-8b03ad4e1226"
      },
      "id": "um5dH8fBe6rE",
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(261066, 43)"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "raw_data['Landcover'] = raw_data['Landcover'].str.capitalize()"
      ],
      "metadata": {
        "id": "ipYe8AC4e3-X",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ea3c6b75-7b8a-429d-df94-130628e2824c"
      },
      "id": "ipYe8AC4e3-X",
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-8-212da79829a0>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  raw_data['Landcover'] = raw_data['Landcover'].str.capitalize()\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Downsample and balance raw data"
      ],
      "metadata": {
        "id": "LSR4hs1IfuTZ"
      },
      "id": "LSR4hs1IfuTZ"
    },
    {
      "cell_type": "code",
      "source": [
        "raw_data['Landcover'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "U_ubVcQme-ju",
        "outputId": "0d083b1b-43c9-4bc2-89a1-6a883f696959"
      },
      "id": "U_ubVcQme-ju",
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Landcover\n",
              "Forest      117277\n",
              "Cropland     58759\n",
              "Wetland      45501\n",
              "Shrub        27552\n",
              "Grass        10826\n",
              "Bare           475\n",
              "Water          376\n",
              "Built up       300\n",
              "Name: count, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "raw_data['LC_Nr'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KHSiAH-jl96A",
        "outputId": "c8c6536b-0e17-4fac-86c5-5509b141edc7"
      },
      "id": "KHSiAH-jl96A",
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LC_Nr\n",
              "7    117277\n",
              "4     58759\n",
              "8     45501\n",
              "6     27552\n",
              "5     10826\n",
              "2       475\n",
              "1       376\n",
              "3       300\n",
              "Name: count, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def sample_train_and_test_data(df, land_cover_class, train_fraction, desired_train_samples=None):\n",
        "\n",
        "  random_state = 42\n",
        "\n",
        "  # filter and shuffle df\n",
        "  df = df[df['Landcover'] == land_cover_class]\n",
        "  df = df.sample(frac=1, random_state=random_state).reset_index(drop=True)\n",
        "\n",
        "  # calculate n train samples\n",
        "  n_train_samples = int(round(df.shape[0] * train_fraction, 0))\n",
        "\n",
        "  # sample train and test samples\n",
        "  train_samples = df.iloc[:n_train_samples]\n",
        "  test_samples = df.iloc[n_train_samples:]\n",
        "\n",
        "  # downsample train samples if specified\n",
        "  if desired_train_samples is not None:\n",
        "    train_samples = train_samples.sample(n=desired_train_samples, random_state=random_state).reset_index(drop=True)\n",
        "\n",
        "  print(f'land cover class: {land_cover_class}; train samples: {train_samples.shape[0]}; test samples: {test_samples.shape[0]}')\n",
        "\n",
        "  return train_samples, test_samples"
      ],
      "metadata": {
        "id": "p7Gft3MmoR0I"
      },
      "id": "p7Gft3MmoR0I",
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_fraction = 0.7\n",
        "train_forest, test_forest = sample_train_and_test_data(raw_data, 'Forest', train_fraction, desired_train_samples=500)\n",
        "train_cropland, test_cropland = sample_train_and_test_data(raw_data, 'Cropland', train_fraction, desired_train_samples=500)\n",
        "train_wetland, test_wetland = sample_train_and_test_data(raw_data, 'Wetland', train_fraction, desired_train_samples=500)\n",
        "train_shrub, test_shrub = sample_train_and_test_data(raw_data, 'Shrub', train_fraction, desired_train_samples=500)\n",
        "train_grass, test_grass = sample_train_and_test_data(raw_data, 'Grass', train_fraction, desired_train_samples=500)\n",
        "train_bare, test_bare = sample_train_and_test_data(raw_data, 'Bare', train_fraction)\n",
        "train_water, test_water = sample_train_and_test_data(raw_data, 'Water', train_fraction)\n",
        "train_built_up, test_built_up = sample_train_and_test_data(raw_data, 'Built up', train_fraction)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RRymm0l1pG-D",
        "outputId": "109520eb-a5fa-4655-d139-1c8ad3817450"
      },
      "id": "RRymm0l1pG-D",
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "land cover class: Forest; train samples: 500; test samples: 35183\n",
            "land cover class: Cropland; train samples: 500; test samples: 17628\n",
            "land cover class: Wetland; train samples: 500; test samples: 13650\n",
            "land cover class: Shrub; train samples: 500; test samples: 8266\n",
            "land cover class: Grass; train samples: 500; test samples: 3248\n",
            "land cover class: Bare; train samples: 332; test samples: 143\n",
            "land cover class: Water; train samples: 263; test samples: 113\n",
            "land cover class: Built up; train samples: 210; test samples: 90\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train = pd.concat([train_forest, train_cropland, train_wetland, train_shrub, train_grass, train_bare, train_water, train_built_up], ignore_index=True)\n",
        "train"
      ],
      "metadata": {
        "id": "NecuonCFn6PI",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "outputId": "d71f21ed-9915-466f-f9f5-7af3f0dd6307"
      },
      "id": "NecuonCFn6PI",
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      B11_Q1  B11_Q2  B11_Q3  B11_Q4  B12_Q1  B12_Q2  B12_Q3  B12_Q4   B2_Q1  \\\n",
              "0     1676.5  1855.5  2356.0  2994.0   843.5  1048.5  1518.0  2345.0   328.0   \n",
              "1     1682.0  1729.5  2152.0  2983.0   836.0   994.5  1518.0  1958.0   263.0   \n",
              "2     1826.5  2046.0  2157.0  3445.0   897.5  1126.0  1461.0  2480.0   258.5   \n",
              "3     1757.5  1739.0  2058.0  2498.0   938.5   995.0  1398.0  1529.0   274.0   \n",
              "4     1817.0  1957.5  2369.0  3147.0   889.0  1101.0  1433.0  2632.0   288.5   \n",
              "...      ...     ...     ...     ...     ...     ...     ...     ...     ...   \n",
              "3300  2955.5  2885.5  3179.0  3912.0  2391.0  2294.0  2725.0  3652.0   626.0   \n",
              "3301  2932.0  3434.0  3763.0  4097.0  2127.0  2967.5  3378.0  3772.0   953.0   \n",
              "3302  2685.0  3169.0  3626.0  3953.5  2078.0  2625.5  3170.0  3640.0  1102.0   \n",
              "3303  1352.0  3222.0  3534.0  3774.0   704.0  3107.5  3353.0  3469.0   281.0   \n",
              "3304  2781.0  3157.5  3770.0  3891.5  2190.0  2697.0  3226.0  3433.0  1318.0   \n",
              "\n",
              "       B2_Q2  ...  B8A_Q2  B8A_Q3  B8A_Q4   B8_Q1   B8_Q2   B8_Q3   B8_Q4  \\\n",
              "0      432.0  ...  2232.0  2113.0  2507.0  2528.0  2307.0  2040.0  2296.0   \n",
              "1      320.0  ...  2039.0  1869.0  2819.0  2348.0  1766.0  1676.0  2536.0   \n",
              "2      337.5  ...  2223.0  1905.0  3083.0  2279.0  1875.0  1722.0  2718.0   \n",
              "3      296.0  ...  1926.0  1816.0  2774.0  1978.0  1748.0  1691.0  2429.0   \n",
              "4      352.0  ...  2416.5  2213.0  2548.0  2636.0  2189.0  2008.0  2336.0   \n",
              "...      ...  ...     ...     ...     ...     ...     ...     ...     ...   \n",
              "3300   692.0  ...  2232.5  2363.0  2859.0  3005.0  2158.0  2340.0  2684.0   \n",
              "3301  1104.0  ...  2731.0  2780.0  3324.0  2819.0  2598.0  2600.0  2994.0   \n",
              "3302  1127.0  ...  2727.5  2756.0  2872.0  2880.0  2786.5  2640.0  2758.0   \n",
              "3303  1115.0  ...  2117.5  2460.0  2566.0  1950.0  2310.0  2626.0  2584.0   \n",
              "3304  1198.0  ...  2755.5  2769.0  2803.5  2624.0  2530.0  2498.0  2555.0   \n",
              "\n",
              "      LC_Nr    LC_Out  Landcover  \n",
              "0         7    Forest     Forest  \n",
              "1         7    Forest     Forest  \n",
              "2         7    Forest     Forest  \n",
              "3         7    Forest     Forest  \n",
              "4         7    Forest     Forest  \n",
              "...     ...       ...        ...  \n",
              "3300      3  Built-up   Built up  \n",
              "3301      3  Built-up   Built up  \n",
              "3302      3  Built-up   Built up  \n",
              "3303      3  Built-up   Built up  \n",
              "3304      3  Built-up   Built up  \n",
              "\n",
              "[3305 rows x 43 columns]"
            ],
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>B11_Q1</th>\n",
              "      <th>B11_Q2</th>\n",
              "      <th>B11_Q3</th>\n",
              "      <th>B11_Q4</th>\n",
              "      <th>B12_Q1</th>\n",
              "      <th>B12_Q2</th>\n",
              "      <th>B12_Q3</th>\n",
              "      <th>B12_Q4</th>\n",
              "      <th>B2_Q1</th>\n",
              "      <th>B2_Q2</th>\n",
              "      <th>...</th>\n",
              "      <th>B8A_Q2</th>\n",
              "      <th>B8A_Q3</th>\n",
              "      <th>B8A_Q4</th>\n",
              "      <th>B8_Q1</th>\n",
              "      <th>B8_Q2</th>\n",
              "      <th>B8_Q3</th>\n",
              "      <th>B8_Q4</th>\n",
              "      <th>LC_Nr</th>\n",
              "      <th>LC_Out</th>\n",
              "      <th>Landcover</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1676.5</td>\n",
              "      <td>1855.5</td>\n",
              "      <td>2356.0</td>\n",
              "      <td>2994.0</td>\n",
              "      <td>843.5</td>\n",
              "      <td>1048.5</td>\n",
              "      <td>1518.0</td>\n",
              "      <td>2345.0</td>\n",
              "      <td>328.0</td>\n",
              "      <td>432.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2232.0</td>\n",
              "      <td>2113.0</td>\n",
              "      <td>2507.0</td>\n",
              "      <td>2528.0</td>\n",
              "      <td>2307.0</td>\n",
              "      <td>2040.0</td>\n",
              "      <td>2296.0</td>\n",
              "      <td>7</td>\n",
              "      <td>Forest</td>\n",
              "      <td>Forest</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1682.0</td>\n",
              "      <td>1729.5</td>\n",
              "      <td>2152.0</td>\n",
              "      <td>2983.0</td>\n",
              "      <td>836.0</td>\n",
              "      <td>994.5</td>\n",
              "      <td>1518.0</td>\n",
              "      <td>1958.0</td>\n",
              "      <td>263.0</td>\n",
              "      <td>320.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2039.0</td>\n",
              "      <td>1869.0</td>\n",
              "      <td>2819.0</td>\n",
              "      <td>2348.0</td>\n",
              "      <td>1766.0</td>\n",
              "      <td>1676.0</td>\n",
              "      <td>2536.0</td>\n",
              "      <td>7</td>\n",
              "      <td>Forest</td>\n",
              "      <td>Forest</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1826.5</td>\n",
              "      <td>2046.0</td>\n",
              "      <td>2157.0</td>\n",
              "      <td>3445.0</td>\n",
              "      <td>897.5</td>\n",
              "      <td>1126.0</td>\n",
              "      <td>1461.0</td>\n",
              "      <td>2480.0</td>\n",
              "      <td>258.5</td>\n",
              "      <td>337.5</td>\n",
              "      <td>...</td>\n",
              "      <td>2223.0</td>\n",
              "      <td>1905.0</td>\n",
              "      <td>3083.0</td>\n",
              "      <td>2279.0</td>\n",
              "      <td>1875.0</td>\n",
              "      <td>1722.0</td>\n",
              "      <td>2718.0</td>\n",
              "      <td>7</td>\n",
              "      <td>Forest</td>\n",
              "      <td>Forest</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1757.5</td>\n",
              "      <td>1739.0</td>\n",
              "      <td>2058.0</td>\n",
              "      <td>2498.0</td>\n",
              "      <td>938.5</td>\n",
              "      <td>995.0</td>\n",
              "      <td>1398.0</td>\n",
              "      <td>1529.0</td>\n",
              "      <td>274.0</td>\n",
              "      <td>296.0</td>\n",
              "      <td>...</td>\n",
              "      <td>1926.0</td>\n",
              "      <td>1816.0</td>\n",
              "      <td>2774.0</td>\n",
              "      <td>1978.0</td>\n",
              "      <td>1748.0</td>\n",
              "      <td>1691.0</td>\n",
              "      <td>2429.0</td>\n",
              "      <td>7</td>\n",
              "      <td>Forest</td>\n",
              "      <td>Forest</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1817.0</td>\n",
              "      <td>1957.5</td>\n",
              "      <td>2369.0</td>\n",
              "      <td>3147.0</td>\n",
              "      <td>889.0</td>\n",
              "      <td>1101.0</td>\n",
              "      <td>1433.0</td>\n",
              "      <td>2632.0</td>\n",
              "      <td>288.5</td>\n",
              "      <td>352.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2416.5</td>\n",
              "      <td>2213.0</td>\n",
              "      <td>2548.0</td>\n",
              "      <td>2636.0</td>\n",
              "      <td>2189.0</td>\n",
              "      <td>2008.0</td>\n",
              "      <td>2336.0</td>\n",
              "      <td>7</td>\n",
              "      <td>Forest</td>\n",
              "      <td>Forest</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3300</th>\n",
              "      <td>2955.5</td>\n",
              "      <td>2885.5</td>\n",
              "      <td>3179.0</td>\n",
              "      <td>3912.0</td>\n",
              "      <td>2391.0</td>\n",
              "      <td>2294.0</td>\n",
              "      <td>2725.0</td>\n",
              "      <td>3652.0</td>\n",
              "      <td>626.0</td>\n",
              "      <td>692.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2232.5</td>\n",
              "      <td>2363.0</td>\n",
              "      <td>2859.0</td>\n",
              "      <td>3005.0</td>\n",
              "      <td>2158.0</td>\n",
              "      <td>2340.0</td>\n",
              "      <td>2684.0</td>\n",
              "      <td>3</td>\n",
              "      <td>Built-up</td>\n",
              "      <td>Built up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3301</th>\n",
              "      <td>2932.0</td>\n",
              "      <td>3434.0</td>\n",
              "      <td>3763.0</td>\n",
              "      <td>4097.0</td>\n",
              "      <td>2127.0</td>\n",
              "      <td>2967.5</td>\n",
              "      <td>3378.0</td>\n",
              "      <td>3772.0</td>\n",
              "      <td>953.0</td>\n",
              "      <td>1104.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2731.0</td>\n",
              "      <td>2780.0</td>\n",
              "      <td>3324.0</td>\n",
              "      <td>2819.0</td>\n",
              "      <td>2598.0</td>\n",
              "      <td>2600.0</td>\n",
              "      <td>2994.0</td>\n",
              "      <td>3</td>\n",
              "      <td>Built-up</td>\n",
              "      <td>Built up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3302</th>\n",
              "      <td>2685.0</td>\n",
              "      <td>3169.0</td>\n",
              "      <td>3626.0</td>\n",
              "      <td>3953.5</td>\n",
              "      <td>2078.0</td>\n",
              "      <td>2625.5</td>\n",
              "      <td>3170.0</td>\n",
              "      <td>3640.0</td>\n",
              "      <td>1102.0</td>\n",
              "      <td>1127.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2727.5</td>\n",
              "      <td>2756.0</td>\n",
              "      <td>2872.0</td>\n",
              "      <td>2880.0</td>\n",
              "      <td>2786.5</td>\n",
              "      <td>2640.0</td>\n",
              "      <td>2758.0</td>\n",
              "      <td>3</td>\n",
              "      <td>Built-up</td>\n",
              "      <td>Built up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3303</th>\n",
              "      <td>1352.0</td>\n",
              "      <td>3222.0</td>\n",
              "      <td>3534.0</td>\n",
              "      <td>3774.0</td>\n",
              "      <td>704.0</td>\n",
              "      <td>3107.5</td>\n",
              "      <td>3353.0</td>\n",
              "      <td>3469.0</td>\n",
              "      <td>281.0</td>\n",
              "      <td>1115.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2117.5</td>\n",
              "      <td>2460.0</td>\n",
              "      <td>2566.0</td>\n",
              "      <td>1950.0</td>\n",
              "      <td>2310.0</td>\n",
              "      <td>2626.0</td>\n",
              "      <td>2584.0</td>\n",
              "      <td>3</td>\n",
              "      <td>Built-up</td>\n",
              "      <td>Built up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3304</th>\n",
              "      <td>2781.0</td>\n",
              "      <td>3157.5</td>\n",
              "      <td>3770.0</td>\n",
              "      <td>3891.5</td>\n",
              "      <td>2190.0</td>\n",
              "      <td>2697.0</td>\n",
              "      <td>3226.0</td>\n",
              "      <td>3433.0</td>\n",
              "      <td>1318.0</td>\n",
              "      <td>1198.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2755.5</td>\n",
              "      <td>2769.0</td>\n",
              "      <td>2803.5</td>\n",
              "      <td>2624.0</td>\n",
              "      <td>2530.0</td>\n",
              "      <td>2498.0</td>\n",
              "      <td>2555.0</td>\n",
              "      <td>3</td>\n",
              "      <td>Built-up</td>\n",
              "      <td>Built up</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3305 rows × 43 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "                                                    [key], {});\n",
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              "    async function quickchart(key) {\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
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            }
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "test = pd.concat([test_forest, test_cropland, test_wetland, test_shrub, test_grass, test_bare, test_water, test_built_up], ignore_index=True)\n",
        "test"
      ],
      "metadata": {
        "id": "7dpFhEYdsg1n",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "outputId": "591dc536-b7e0-462b-8562-f86f7284dfa2"
      },
      "id": "7dpFhEYdsg1n",
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       B11_Q1  B11_Q2  B11_Q3  B11_Q4  B12_Q1  B12_Q2  B12_Q3  B12_Q4   B2_Q1  \\\n",
              "0      1443.0  1427.0  1542.0  1789.0   647.0   693.0   853.0   995.0   229.0   \n",
              "1      1424.5  1320.0  1563.0  1675.0   607.5   606.0   833.0   878.0   223.0   \n",
              "2      1717.0  1808.5  1957.0  3563.0   873.5  1022.0  1439.0  2501.0   256.0   \n",
              "3      1606.0  1688.5  2052.0  2454.0   749.0   873.0  1207.0  1798.0   266.5   \n",
              "4      1681.0  1837.5  1990.0  2658.5   910.0  1039.5  1228.0  1887.5   305.0   \n",
              "...       ...     ...     ...     ...     ...     ...     ...     ...     ...   \n",
              "78316  3189.0  2890.5  2844.0  3182.0  2972.5  2846.5  2848.0  3276.0  1312.0   \n",
              "78317  1389.0  3557.5  3832.0  3994.0   735.0  3635.5  3899.0  3955.0   285.0   \n",
              "78318  1376.0  3709.0  3940.5  3963.0   707.0  3779.5  3886.5  3880.0   290.0   \n",
              "78319  3904.0  3587.5  4037.0  4515.0  3472.0  3207.0  4012.0  4244.0  1668.0   \n",
              "78320  1431.0  3772.0  3983.5  4036.0   758.0  3779.0  3965.0  3799.0   284.0   \n",
              "\n",
              "        B2_Q2  ...  B8A_Q2  B8A_Q3  B8A_Q4   B8_Q1   B8_Q2   B8_Q3   B8_Q4  \\\n",
              "0       256.0  ...  1832.0  1742.0  2361.0  2032.0  1666.0  1591.0  2126.0   \n",
              "1       240.0  ...  2024.0  1895.0  2399.0  2236.5  1987.0  1838.0  2156.0   \n",
              "2       313.0  ...  2017.5  1859.0  3133.0  2027.0  1759.0  1624.0  2840.0   \n",
              "3       298.0  ...  2093.0  1966.0  2698.0  2523.0  2068.0  1890.0  2620.0   \n",
              "4       343.0  ...  2080.0  2060.0  2702.5  2075.0  1753.0  1788.0  2296.0   \n",
              "...       ...  ...     ...     ...     ...     ...     ...     ...     ...   \n",
              "78316   976.0  ...  2176.0  2073.0  2316.0  2167.0  1917.0  1782.0  2022.0   \n",
              "78317  1111.0  ...  2483.0  2696.0  2961.0  1954.0  2252.0  2532.0  2752.0   \n",
              "78318  1274.0  ...  2571.5  2709.0  2693.0  1830.0  2556.0  2725.0  2554.0   \n",
              "78319  1237.0  ...  2812.5  2577.5  3091.0  3208.0  2589.5  2501.0  2930.0   \n",
              "78320  1165.0  ...  2580.0  2720.5  2721.0  1908.0  2382.0  2580.0  2544.0   \n",
              "\n",
              "       LC_Nr    LC_Out  Landcover  \n",
              "0          7    Forest     Forest  \n",
              "1          7    Forest     Forest  \n",
              "2          7    Forest     Forest  \n",
              "3          7    Forest     Forest  \n",
              "4          7    Forest     Forest  \n",
              "...      ...       ...        ...  \n",
              "78316      3  Built-up   Built up  \n",
              "78317      3  Built-up   Built up  \n",
              "78318      3  Built-up   Built up  \n",
              "78319      3  Built-up   Built up  \n",
              "78320      3  Built-up   Built up  \n",
              "\n",
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              "      <th></th>\n",
              "      <th>B11_Q1</th>\n",
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              "      <th>B11_Q3</th>\n",
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              "      <td>1427.0</td>\n",
              "      <td>1542.0</td>\n",
              "      <td>1789.0</td>\n",
              "      <td>647.0</td>\n",
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              "      <td>853.0</td>\n",
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              "      <td>229.0</td>\n",
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              "      <td>1742.0</td>\n",
              "      <td>2361.0</td>\n",
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              "      <td>1666.0</td>\n",
              "      <td>1591.0</td>\n",
              "      <td>2126.0</td>\n",
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              "      <th>1</th>\n",
              "      <td>1424.5</td>\n",
              "      <td>1320.0</td>\n",
              "      <td>1563.0</td>\n",
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              "      <td>607.5</td>\n",
              "      <td>606.0</td>\n",
              "      <td>833.0</td>\n",
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              "      <td>2024.0</td>\n",
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              "      <td>1987.0</td>\n",
              "      <td>1838.0</td>\n",
              "      <td>2156.0</td>\n",
              "      <td>7</td>\n",
              "      <td>Forest</td>\n",
              "      <td>Forest</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1717.0</td>\n",
              "      <td>1808.5</td>\n",
              "      <td>1957.0</td>\n",
              "      <td>3563.0</td>\n",
              "      <td>873.5</td>\n",
              "      <td>1022.0</td>\n",
              "      <td>1439.0</td>\n",
              "      <td>2501.0</td>\n",
              "      <td>256.0</td>\n",
              "      <td>313.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2017.5</td>\n",
              "      <td>1859.0</td>\n",
              "      <td>3133.0</td>\n",
              "      <td>2027.0</td>\n",
              "      <td>1759.0</td>\n",
              "      <td>1624.0</td>\n",
              "      <td>2840.0</td>\n",
              "      <td>7</td>\n",
              "      <td>Forest</td>\n",
              "      <td>Forest</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1606.0</td>\n",
              "      <td>1688.5</td>\n",
              "      <td>2052.0</td>\n",
              "      <td>2454.0</td>\n",
              "      <td>749.0</td>\n",
              "      <td>873.0</td>\n",
              "      <td>1207.0</td>\n",
              "      <td>1798.0</td>\n",
              "      <td>266.5</td>\n",
              "      <td>298.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2093.0</td>\n",
              "      <td>1966.0</td>\n",
              "      <td>2698.0</td>\n",
              "      <td>2523.0</td>\n",
              "      <td>2068.0</td>\n",
              "      <td>1890.0</td>\n",
              "      <td>2620.0</td>\n",
              "      <td>7</td>\n",
              "      <td>Forest</td>\n",
              "      <td>Forest</td>\n",
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              "      <th>4</th>\n",
              "      <td>1681.0</td>\n",
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              "      <td>910.0</td>\n",
              "      <td>1039.5</td>\n",
              "      <td>1228.0</td>\n",
              "      <td>1887.5</td>\n",
              "      <td>305.0</td>\n",
              "      <td>343.0</td>\n",
              "      <td>...</td>\n",
              "      <td>2080.0</td>\n",
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              "      <td>2075.0</td>\n",
              "      <td>1753.0</td>\n",
              "      <td>1788.0</td>\n",
              "      <td>2296.0</td>\n",
              "      <td>7</td>\n",
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              "      <th>78316</th>\n",
              "      <td>3189.0</td>\n",
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              "      <td>2846.5</td>\n",
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              "      <td>1312.0</td>\n",
              "      <td>976.0</td>\n",
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              "      <td>2316.0</td>\n",
              "      <td>2167.0</td>\n",
              "      <td>1917.0</td>\n",
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              "      <td>2022.0</td>\n",
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              "      <th>78317</th>\n",
              "      <td>1389.0</td>\n",
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              "      <td>3899.0</td>\n",
              "      <td>3955.0</td>\n",
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              "      <th>78318</th>\n",
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              "      <th>78319</th>\n",
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              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-8833c55f-7c5e-4db0-b33e-20d56ea8ce0b button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "test"
            }
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Compute indices"
      ],
      "metadata": {
        "id": "TFXjubZAD0BI"
      },
      "id": "TFXjubZAD0BI"
    },
    {
      "cell_type": "code",
      "source": [
        "def ndvi(df, nir_band, red_band):\n",
        "  ndvi = (df[nir_band] - df[red_band]) / (df[nir_band] + df[red_band])\n",
        "  return ndvi"
      ],
      "metadata": {
        "id": "rj-VWek61ExT"
      },
      "id": "rj-VWek61ExT",
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def ndwi_mcf(df, green_band, nir_band):\n",
        "  ndwi_mcf = (df[green_band] - df[nir_band]) / (df[green_band] + df[nir_band])\n",
        "  return ndwi_mcf"
      ],
      "metadata": {
        "id": "opz7r6phB0uq"
      },
      "id": "opz7r6phB0uq",
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def ndwi_gao(df, nir_band, swir_band):\n",
        "  ndwi_gao = (df[nir_band] - df[swir_band]) / (df[nir_band] + df[swir_band])\n",
        "  return ndwi_gao"
      ],
      "metadata": {
        "id": "JWaFJ_nMCXLW"
      },
      "id": "JWaFJ_nMCXLW",
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def savi(df, nir_band, red_band):\n",
        "  savi = (df[nir_band] - df[red_band]) / (df[nir_band] + df[red_band] + 0.5) * (1.0 + 0.5)\n",
        "  return savi"
      ],
      "metadata": {
        "id": "bmcTPv4mC8Aj"
      },
      "id": "bmcTPv4mC8Aj",
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def evi(df, nir_band, red_band, blue_band):\n",
        "  evi = 2.5 * ((df[nir_band] - df[red_band]) / (df[nir_band] + 6 * df[red_band] - 7.5 * df[blue_band] + 1))\n",
        "  return evi"
      ],
      "metadata": {
        "id": "OAmH1NktDpAm"
      },
      "id": "OAmH1NktDpAm",
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "add_indices = False"
      ],
      "metadata": {
        "id": "8IxcIBshcn6Z"
      },
      "id": "8IxcIBshcn6Z",
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "if add_indices:\n",
        "  train['NDVI_Q1'] = ndvi(train, 'B8_Q1', 'B4_Q1')\n",
        "  train['NDWI_MCF_Q1'] = ndwi_mcf(train, 'B3_Q1', 'B8_Q1')\n",
        "  train['NDWI_GAO_Q1'] = ndwi_gao(train, 'B8_Q1', 'B12_Q1')\n",
        "  train['SAVI_Q1'] = savi(train, 'B8_Q1', 'B4_Q1')\n",
        "  train['EVI_Q1'] = evi(train, 'B8_Q1', 'B4_Q1', 'B2_Q1')\n",
        "  train['NDVI_Q2'] = ndvi(train, 'B8_Q2', 'B4_Q2')\n",
        "  train['NDWI_MCF_Q2'] = ndwi_mcf(train, 'B3_Q2', 'B8_Q2')\n",
        "  train['NDWI_GAO_Q2'] = ndwi_gao(train, 'B8_Q2', 'B12_Q2')\n",
        "  train['SAVI_Q2'] = savi(train, 'B8_Q2', 'B4_Q2')\n",
        "  train['EVI_Q2'] = evi(train, 'B8_Q2', 'B4_Q2', 'B2_Q2')\n",
        "  train['NDVI_Q3'] = ndvi(train, 'B8_Q3', 'B4_Q3')\n",
        "  train['NDWI_MCF_Q3'] = ndwi_mcf(train, 'B3_Q3', 'B8_Q3')\n",
        "  train['NDWI_GAO_Q3'] = ndwi_gao(train, 'B8_Q3', 'B12_Q3')\n",
        "  train['SAVI_Q3'] = savi(train, 'B8_Q3', 'B4_Q3')\n",
        "  train['EVI_Q3'] = evi(train, 'B8_Q3', 'B4_Q3', 'B2_Q3')\n",
        "  train['NDVI_Q4'] = ndvi(train, 'B8_Q4', 'B4_Q4')\n",
        "  train['NDWI_MCF_Q4'] = ndwi_mcf(train, 'B3_Q4', 'B8_Q4')\n",
        "  train['NDWI_GAO_Q4'] = ndwi_gao(train, 'B8_Q4', 'B12_Q4')\n",
        "  train['SAVI_Q4'] = savi(train, 'B8_Q4', 'B4_Q4')\n",
        "  train['EVI_Q4'] = evi(train, 'B8_Q4', 'B4_Q4', 'B2_Q4')\n",
        "  train"
      ],
      "metadata": {
        "id": "JknKRz2k3tDY"
      },
      "id": "JknKRz2k3tDY",
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "if add_indices:\n",
        "  test['NDVI_Q1'] = ndvi(test, 'B8_Q1', 'B4_Q1')\n",
        "  test['NDWI_MCF_Q1'] = ndwi_mcf(test, 'B3_Q1', 'B8_Q1')\n",
        "  test['NDWI_GAO_Q1'] = ndwi_gao(test, 'B8_Q1', 'B12_Q1')\n",
        "  test['SAVI_Q1'] = savi(test, 'B8_Q1', 'B4_Q1')\n",
        "  test['EVI_Q1'] = evi(test, 'B8_Q1', 'B4_Q1', 'B2_Q1')\n",
        "  test['NDVI_Q2'] = ndvi(test, 'B8_Q2', 'B4_Q2')\n",
        "  test['NDWI_MCF_Q2'] = ndwi_mcf(test, 'B3_Q2', 'B8_Q2')\n",
        "  test['NDWI_GAO_Q2'] = ndwi_gao(test, 'B8_Q2', 'B12_Q2')\n",
        "  test['SAVI_Q2'] = savi(test, 'B8_Q2', 'B4_Q2')\n",
        "  test['EVI_Q2'] = evi(test, 'B8_Q2', 'B4_Q2', 'B2_Q2')\n",
        "  test['NDVI_Q3'] = ndvi(test, 'B8_Q3', 'B4_Q3')\n",
        "  test['NDWI_MCF_Q3'] = ndwi_mcf(test, 'B3_Q3', 'B8_Q3')\n",
        "  test['NDWI_GAO_Q3'] = ndwi_gao(test, 'B8_Q3', 'B12_Q3')\n",
        "  test['SAVI_Q3'] = savi(test, 'B8_Q3', 'B4_Q3')\n",
        "  test['EVI_Q3'] = evi(test, 'B8_Q3', 'B4_Q3', 'B2_Q3')\n",
        "  test['NDVI_Q4'] = ndvi(test, 'B8_Q4', 'B4_Q4')\n",
        "  test['NDWI_MCF_Q4'] = ndwi_mcf(test, 'B3_Q4', 'B8_Q4')\n",
        "  test['NDWI_GAO_Q4'] = ndwi_gao(test, 'B8_Q4', 'B12_Q4')\n",
        "  test['SAVI_Q4'] = savi(test, 'B8_Q4', 'B4_Q4')\n",
        "  test['EVI_Q4'] = evi(test, 'B8_Q4', 'B4_Q4', 'B2_Q4')\n",
        "  test"
      ],
      "metadata": {
        "id": "9ja09ySjEJuL"
      },
      "id": "9ja09ySjEJuL",
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Save train and test set"
      ],
      "metadata": {
        "id": "tU6zzYXxWYT1"
      },
      "id": "tU6zzYXxWYT1"
    },
    {
      "cell_type": "code",
      "source": [
        "train.to_csv('data/train.csv', index=False)\n",
        "test.to_csv('data/test.csv', index=False)"
      ],
      "metadata": {
        "id": "1djktprvrscY"
      },
      "id": "1djktprvrscY",
      "execution_count": 23,
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "colab": {
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}