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silpol/oemc_hackathon_2023.ipynb

Created September 13, 2023 11:35
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oemc_hackathon_2023.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/silpol/325b713c94663eb363de34c958c0fac3/oemc_hackathon_2023.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"id": "ca9752c5-54b2-4bea-abc2-370bccce75d0",
"metadata": {
"id": "ca9752c5-54b2-4bea-abc2-370bccce75d0"
},
"source": [
"# Open-Earth-Monitor Hackathon 2023"
]
},
{
"cell_type": "markdown",
"id": "a74703a9-e37e-4344-aff1-552c1e405bd6",
"metadata": {
"id": "a74703a9-e37e-4344-aff1-552c1e405bd6"
},
"source": [
"Initial code, completely derived from suggested start code, dropped textual comments and FAPAR part\n",
"\n",
"The links to access the challenges and datasets:\n",
"- **EU Land Cover Classification**: [Zenodo dataset](https://zenodo.org/record/8306554) and [Kaggle challenge](https://www.kaggle.com/competitions/oemc-hackathon-eu-land-cover-classification)\n",
")"
]
},
{
"cell_type": "markdown",
"id": "dd661b8e-6356-4d9b-811b-6161714a689a",
"metadata": {
"id": "dd661b8e-6356-4d9b-811b-6161714a689a"
},
"source": [
"## EU Land Cover Classification"
]
},
{
"cell_type": "markdown",
"id": "18100bf1-686d-4ef5-b9c0-080ad4e8911e",
"metadata": {
"id": "18100bf1-686d-4ef5-b9c0-080ad4e8911e"
},
"source": [
"First, let's download the dataset from Zenodo using [Requests](https://pypi.org/project/requests/):"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "a4e3bf89-e837-44ca-974e-422ddd8ce126",
"metadata": {
"tags": [],
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "a4e3bf89-e837-44ca-974e-422ddd8ce126",
"outputId": "b55ef6d4-2a3a-45e7-8eb2-598a0b9aecca"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Downloading land_cover_train.csv.gz\n",
"Downloading land_cover_test.csv.gz\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"36033342"
]
},
"metadata": {},
"execution_count": 1
}
],
"source": [
"import requests\n",
"\n",
"train_url = 'https://zenodo.org/record/8306554/files/train.csv.gz?download=1'\n",
"test_url = 'https://zenodo.org/record/8306554/files/test.csv.gz?download=1'\n",
"\n",
"r_train = requests.get(train_url, allow_redirects=True)\n",
"f_train = 'land_cover_train.csv.gz'\n",
"\n",
"r_test = requests.get(test_url, allow_redirects=True)\n",
"f_test = 'land_cover_test.csv.gz'\n",
"\n",
"print(f\"Downloading {f_train}\")\n",
"open(f_train, 'wb').write(r_train.content)\n",
"\n",
"print(f\"Downloading {f_test}\")\n",
"open(f_test, 'wb').write(r_test.content)"
]
},
{
"cell_type": "markdown",
"id": "17200a6f-2345-4ceb-9d40-482001f309f7",
"metadata": {
"id": "17200a6f-2345-4ceb-9d40-482001f309f7"
},
"source": [
"Now, let's load the train set using [Pandas](https://pandas.pydata.org/)."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "56bce9d1-aa40-4e68-a2a6-bb11840e2ca4",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 648
},
"id": "56bce9d1-aa40-4e68-a2a6-bb11840e2ca4",
"outputId": "ee9ca5b2-fd95-43ee-f863-42e290456767"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" land_cover land_cover_label year \\\n",
"sample_id \n",
"0 16 Grassland without tree/shrub cover 2006 \n",
"1 10 Coniferous woodland 2006 \n",
"2 15 Grassland with sparse tree/shrub cover 2018 \n",
"3 16 Grassland without tree/shrub cover 2006 \n",
"4 58 Shrubland with sparse tree cover 2012 \n",
"... ... ... ... \n",
"42232 16 Grassland without tree/shrub cover 2009 \n",
"42233 71 Vineyards 2006 \n",
"42234 16 Grassland without tree/shrub cover 2006 \n",
"42235 4 Broadleaved woodland 2015 \n",
"42236 59 Shrubland without tree cover 2015 \n",
"\n",
" evi_mod13q1.stl.trend_p90_250m_jan01_feb28 \\\n",
"sample_id \n",
"0 3630.0 \n",
"1 2851.0 \n",
"2 3973.0 \n",
"3 4401.0 \n",
"4 4330.0 \n",
"... ... \n",
"42232 3267.0 \n",
"42233 3868.0 \n",
"42234 5642.0 \n",
"42235 3642.0 \n",
"42236 1675.0 \n",
"\n",
" lst_mod11a2.nighttime.trend_p50_1km_jan01_jan31 \\\n",
"sample_id \n",
"0 13868.0 \n",
"1 13810.0 \n",
"2 13958.0 \n",
"3 13793.0 \n",
"4 13868.0 \n",
"... ... \n",
"42232 13753.0 \n",
"42233 14038.0 \n",
"42234 13832.0 \n",
"42235 14252.0 \n",
"42236 14199.0 \n",
"\n",
" lst_mod11a2.nighttime.trend_p50_1km_feb01_feb28 \\\n",
"sample_id \n",
"0 13877.0 \n",
"1 13815.0 \n",
"2 13961.0 \n",
"3 13796.0 \n",
"4 13868.0 \n",
"... ... \n",
"42232 13749.0 \n",
"42233 14039.0 \n",
"42234 13839.0 \n",
"42235 14255.0 \n",
"42236 14200.0 \n",
"\n",
" lst_mod11a2.nighttime.trend_p50_1km_mar01_mar31 \\\n",
"sample_id \n",
"0 13887.0 \n",
"1 13820.0 \n",
"2 13963.0 \n",
"3 13800.0 \n",
"4 13867.0 \n",
"... ... \n",
"42232 13744.0 \n",
"42233 14041.0 \n",
"42234 13848.0 \n",
"42235 14258.0 \n",
"42236 14202.0 \n",
"\n",
" lst_mod11a2.nighttime.trend_p50_1km_apr01_apr30 \\\n",
"sample_id \n",
"0 13897.0 \n",
"1 13827.0 \n",
"2 13964.0 \n",
"3 13805.0 \n",
"4 13866.0 \n",
"... ... \n",
"42232 13739.0 \n",
"42233 14044.0 \n",
"42234 13856.0 \n",
"42235 14261.0 \n",
"42236 14202.0 \n",
"\n",
" evi_mod13q1_p90_250m_nov01_dec31 \\\n",
"sample_id \n",
"0 2700.0 \n",
"1 2565.0 \n",
"2 2650.0 \n",
"3 3076.0 \n",
"4 2875.0 \n",
"... ... \n",
"42232 1632.0 \n",
"42233 3952.0 \n",
"42234 4528.0 \n",
"42235 4788.0 \n",
"42236 2379.0 \n",
"\n",
" lst_mod11a2.nighttime.trend_p50_1km_may01_may31 ... \\\n",
"sample_id ... \n",
"0 13908.0 ... \n",
"1 13835.0 ... \n",
"2 13967.0 ... \n",
"3 13813.0 ... \n",
"4 13864.0 ... \n",
"... ... ... \n",
"42232 13732.0 ... \n",
"42233 14049.0 ... \n",
"42234 13865.0 ... \n",
"42235 14264.0 ... \n",
"42236 14202.0 ... \n",
"\n",
" evi_mod13q1_p50_250m_2000_2022 evi_mod13q1_p95_250m_2000_2022 \\\n",
"sample_id \n",
"0 3080.0 5516.0 \n",
"1 2560.0 3292.0 \n",
"2 4180.0 6372.0 \n",
"3 5020.0 7024.0 \n",
"4 3180.0 6148.0 \n",
"... ... ... \n",
"42232 3792.0 5256.0 \n",
"42233 3784.0 4684.0 \n",
"42234 5508.0 6400.0 \n",
"42235 2274.0 3800.0 \n",
"42236 1263.0 1837.0 \n",
"\n",
" blue_mod13q1_p95_250m_2000_2022 red_mod13q1_p50_250m_2000_2022 \\\n",
"sample_id \n",
"0 566.0 673.0 \n",
"1 143.0 156.0 \n",
"2 254.0 286.0 \n",
"3 510.0 569.0 \n",
"4 582.0 863.0 \n",
"... ... ... \n",
"42232 525.0 748.0 \n",
"42233 468.0 686.0 \n",
"42234 431.0 496.0 \n",
"42235 672.0 982.0 \n",
"42236 1205.0 2058.0 \n",
"\n",
" ndvi_mod13q1_sd_250m_2000_2022 nir_mod13q1_sd_250m_2000_2022 \\\n",
"sample_id \n",
"0 1418.0 537.0 \n",
"1 478.0 348.0 \n",
"2 1225.0 891.0 \n",
"3 1429.0 796.0 \n",
"4 1964.0 850.0 \n",
"... ... ... \n",
"42232 1373.0 604.0 \n",
"42233 848.0 388.0 \n",
"42234 945.0 437.0 \n",
"42235 1214.0 438.0 \n",
"42236 498.0 664.0 \n",
"\n",
" pop.count_ghs.jrc_m_100m \\\n",
"sample_id \n",
"0 0.0 \n",
"1 0.0 \n",
"2 0.0 \n",
"3 22.0 \n",
"4 74.0 \n",
"... ... \n",
"42232 6.0 \n",
"42233 0.0 \n",
"42234 0.0 \n",
"42235 0.0 \n",
"42236 0.0 \n",
"\n",
" cost.distance.to.coast_gedi.grass.gis_30m_2000..2018 \\\n",
"sample_id \n",
"0 141.0 \n",
"1 614.0 \n",
"2 606.0 \n",
"3 820.0 \n",
"4 191.0 \n",
"... ... \n",
"42232 165.0 \n",
"42233 26.0 \n",
"42234 6.0 \n",
"42235 496.0 \n",
"42236 590.0 \n",
"\n",
" slope.percent_gedi.eml_m_30m_2000_2018 \\\n",
"sample_id \n",
"0 7.0 \n",
"1 55.0 \n",
"2 13.0 \n",
"3 8.0 \n",
"4 19.0 \n",
"... ... \n",
"42232 10.0 \n",
"42233 3.0 \n",
"42234 0.0 \n",
"42235 18.0 \n",
"42236 25.0 \n",
"\n",
" elev.lowestmode_gedi.eml_m_30m_2000_2018 \n",
"sample_id \n",
"0 151.0 \n",
"1 683.0 \n",
"2 336.0 \n",
"3 688.0 \n",
"4 221.0 \n",
"... ... \n",
"42232 270.0 \n",
"42233 95.0 \n",
"42234 43.0 \n",
"42235 416.0 \n",
"42236 262.0 \n",
"\n",
"[42237 rows x 419 columns]"
],
"text/html": [
"\n",
" <div id=\"df-0d267ab7-6bbd-4e96-b317-39f80218c2ec\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\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>land_cover</th>\n",
" <th>land_cover_label</th>\n",
" <th>year</th>\n",
" <th>evi_mod13q1.stl.trend_p90_250m_jan01_feb28</th>\n",
" <th>lst_mod11a2.nighttime.trend_p50_1km_jan01_jan31</th>\n",
" <th>lst_mod11a2.nighttime.trend_p50_1km_feb01_feb28</th>\n",
" <th>lst_mod11a2.nighttime.trend_p50_1km_mar01_mar31</th>\n",
" <th>lst_mod11a2.nighttime.trend_p50_1km_apr01_apr30</th>\n",
" <th>evi_mod13q1_p90_250m_nov01_dec31</th>\n",
" <th>lst_mod11a2.nighttime.trend_p50_1km_may01_may31</th>\n",
" <th>...</th>\n",
" <th>evi_mod13q1_p50_250m_2000_2022</th>\n",
" <th>evi_mod13q1_p95_250m_2000_2022</th>\n",
" <th>blue_mod13q1_p95_250m_2000_2022</th>\n",
" <th>red_mod13q1_p50_250m_2000_2022</th>\n",
" <th>ndvi_mod13q1_sd_250m_2000_2022</th>\n",
" <th>nir_mod13q1_sd_250m_2000_2022</th>\n",
" <th>pop.count_ghs.jrc_m_100m</th>\n",
" <th>cost.distance.to.coast_gedi.grass.gis_30m_2000..2018</th>\n",
" <th>slope.percent_gedi.eml_m_30m_2000_2018</th>\n",
" <th>elev.lowestmode_gedi.eml_m_30m_2000_2018</th>\n",
" </tr>\n",
" <tr>\n",
" <th>sample_id</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>16</td>\n",
" <td>Grassland without tree/shrub cover</td>\n",
" <td>2006</td>\n",
" <td>3630.0</td>\n",
" <td>13868.0</td>\n",
" <td>13877.0</td>\n",
" <td>13887.0</td>\n",
" <td>13897.0</td>\n",
" <td>2700.0</td>\n",
" <td>13908.0</td>\n",
" <td>...</td>\n",
" <td>3080.0</td>\n",
" <td>5516.0</td>\n",
" <td>566.0</td>\n",
" <td>673.0</td>\n",
" <td>1418.0</td>\n",
" <td>537.0</td>\n",
" <td>0.0</td>\n",
" <td>141.0</td>\n",
" <td>7.0</td>\n",
" <td>151.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>10</td>\n",
" <td>Coniferous woodland</td>\n",
" <td>2006</td>\n",
" <td>2851.0</td>\n",
" <td>13810.0</td>\n",
" <td>13815.0</td>\n",
" <td>13820.0</td>\n",
" <td>13827.0</td>\n",
" <td>2565.0</td>\n",
" <td>13835.0</td>\n",
" <td>...</td>\n",
" <td>2560.0</td>\n",
" <td>3292.0</td>\n",
" <td>143.0</td>\n",
" <td>156.0</td>\n",
" <td>478.0</td>\n",
" <td>348.0</td>\n",
" <td>0.0</td>\n",
" <td>614.0</td>\n",
" <td>55.0</td>\n",
" <td>683.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>15</td>\n",
" <td>Grassland with sparse tree/shrub cover</td>\n",
" <td>2018</td>\n",
" <td>3973.0</td>\n",
" <td>13958.0</td>\n",
" <td>13961.0</td>\n",
" <td>13963.0</td>\n",
" <td>13964.0</td>\n",
" <td>2650.0</td>\n",
" <td>13967.0</td>\n",
" <td>...</td>\n",
" <td>4180.0</td>\n",
" <td>6372.0</td>\n",
" <td>254.0</td>\n",
" <td>286.0</td>\n",
" <td>1225.0</td>\n",
" <td>891.0</td>\n",
" <td>0.0</td>\n",
" <td>606.0</td>\n",
" <td>13.0</td>\n",
" <td>336.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>16</td>\n",
" <td>Grassland without tree/shrub cover</td>\n",
" <td>2006</td>\n",
" <td>4401.0</td>\n",
" <td>13793.0</td>\n",
" <td>13796.0</td>\n",
" <td>13800.0</td>\n",
" <td>13805.0</td>\n",
" <td>3076.0</td>\n",
" <td>13813.0</td>\n",
" <td>...</td>\n",
" <td>5020.0</td>\n",
" <td>7024.0</td>\n",
" <td>510.0</td>\n",
" <td>569.0</td>\n",
" <td>1429.0</td>\n",
" <td>796.0</td>\n",
" <td>22.0</td>\n",
" <td>820.0</td>\n",
" <td>8.0</td>\n",
" <td>688.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>58</td>\n",
" <td>Shrubland with sparse tree cover</td>\n",
" <td>2012</td>\n",
" <td>4330.0</td>\n",
" <td>13868.0</td>\n",
" <td>13868.0</td>\n",
" <td>13867.0</td>\n",
" <td>13866.0</td>\n",
" <td>2875.0</td>\n",
" <td>13864.0</td>\n",
" <td>...</td>\n",
" <td>3180.0</td>\n",
" <td>6148.0</td>\n",
" <td>582.0</td>\n",
" <td>863.0</td>\n",
" <td>1964.0</td>\n",
" <td>850.0</td>\n",
" <td>74.0</td>\n",
" <td>191.0</td>\n",
" <td>19.0</td>\n",
" <td>221.0</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>42232</th>\n",
" <td>16</td>\n",
" <td>Grassland without tree/shrub cover</td>\n",
" <td>2009</td>\n",
" <td>3267.0</td>\n",
" <td>13753.0</td>\n",
" <td>13749.0</td>\n",
" <td>13744.0</td>\n",
" <td>13739.0</td>\n",
" <td>1632.0</td>\n",
" <td>13732.0</td>\n",
" <td>...</td>\n",
" <td>3792.0</td>\n",
" <td>5256.0</td>\n",
" <td>525.0</td>\n",
" <td>748.0</td>\n",
" <td>1373.0</td>\n",
" <td>604.0</td>\n",
" <td>6.0</td>\n",
" <td>165.0</td>\n",
" <td>10.0</td>\n",
" <td>270.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42233</th>\n",
" <td>71</td>\n",
" <td>Vineyards</td>\n",
" <td>2006</td>\n",
" <td>3868.0</td>\n",
" <td>14038.0</td>\n",
" <td>14039.0</td>\n",
" <td>14041.0</td>\n",
" <td>14044.0</td>\n",
" <td>3952.0</td>\n",
" <td>14049.0</td>\n",
" <td>...</td>\n",
" <td>3784.0</td>\n",
" <td>4684.0</td>\n",
" <td>468.0</td>\n",
" <td>686.0</td>\n",
" <td>848.0</td>\n",
" <td>388.0</td>\n",
" <td>0.0</td>\n",
" <td>26.0</td>\n",
" <td>3.0</td>\n",
" <td>95.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42234</th>\n",
" <td>16</td>\n",
" <td>Grassland without tree/shrub cover</td>\n",
" <td>2006</td>\n",
" <td>5642.0</td>\n",
" <td>13832.0</td>\n",
" <td>13839.0</td>\n",
" <td>13848.0</td>\n",
" <td>13856.0</td>\n",
" <td>4528.0</td>\n",
" <td>13865.0</td>\n",
" <td>...</td>\n",
" <td>5508.0</td>\n",
" <td>6400.0</td>\n",
" <td>431.0</td>\n",
" <td>496.0</td>\n",
" <td>945.0</td>\n",
" <td>437.0</td>\n",
" <td>0.0</td>\n",
" <td>6.0</td>\n",
" <td>0.0</td>\n",
" <td>43.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42235</th>\n",
" <td>4</td>\n",
" <td>Broadleaved woodland</td>\n",
" <td>2015</td>\n",
" <td>3642.0</td>\n",
" <td>14252.0</td>\n",
" <td>14255.0</td>\n",
" <td>14258.0</td>\n",
" <td>14261.0</td>\n",
" <td>4788.0</td>\n",
" <td>14264.0</td>\n",
" <td>...</td>\n",
" <td>2274.0</td>\n",
" <td>3800.0</td>\n",
" <td>672.0</td>\n",
" <td>982.0</td>\n",
" <td>1214.0</td>\n",
" <td>438.0</td>\n",
" <td>0.0</td>\n",
" <td>496.0</td>\n",
" <td>18.0</td>\n",
" <td>416.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42236</th>\n",
" <td>59</td>\n",
" <td>Shrubland without tree cover</td>\n",
" <td>2015</td>\n",
" <td>1675.0</td>\n",
" <td>14199.0</td>\n",
" <td>14200.0</td>\n",
" <td>14202.0</td>\n",
" <td>14202.0</td>\n",
" <td>2379.0</td>\n",
" <td>14202.0</td>\n",
" <td>...</td>\n",
" <td>1263.0</td>\n",
" <td>1837.0</td>\n",
" <td>1205.0</td>\n",
" <td>2058.0</td>\n",
" <td>498.0</td>\n",
" <td>664.0</td>\n",
" <td>0.0</td>\n",
" <td>590.0</td>\n",
" <td>25.0</td>\n",
" <td>262.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>42237 rows × 419 columns</p>\n",
"</div>\n",
" <div class=\"colab-df-buttons\">\n",
"\n",
" <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0d267ab7-6bbd-4e96-b317-39f80218c2ec')\"\n",
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" .colab-df-container {\n",
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" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
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"\n",
" .colab-df-buttons div {\n",
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"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
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"\n",
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" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-0d267ab7-6bbd-4e96-b317-39f80218c2ec 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-0d267ab7-6bbd-4e96-b317-39f80218c2ec');\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",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-07471036-21b8-4abe-82bf-2f71660c4b1a\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-07471036-21b8-4abe-82bf-2f71660c4b1a')\"\n",
" title=\"Suggest charts.\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
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" </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",
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"\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-07471036-21b8-4abe-82bf-2f71660c4b1a button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
" </div>\n",
" </div>\n"
]
},
"metadata": {},
"execution_count": 2
}
],
"source": [
"import pandas as pd\n",
"df_train = pd.read_csv(f_train, index_col='sample_id')\n",
"df_train"
]
},
{
"cell_type": "markdown",
"id": "71e900ca-86a1-4c14-9b5e-1d379817d322",
"metadata": {
"id": "71e900ca-86a1-4c14-9b5e-1d379817d322"
},
"source": [
"How many land cover classes are there in the train set?"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "17cae27c-b0e8-46ae-92ff-4c5b60c30987",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "17cae27c-b0e8-46ae-92ff-4c5b60c30987",
"outputId": "58eda146-a2c7-4a20-d918-284599a30fc3"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Text(0.5, 0, 'Number of samples')"
]
},
"metadata": {},
"execution_count": 3
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 500x2000 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"source": [
"import seaborn as sns\n",
"\n",
"sns.set_theme(style=\"whitegrid\", palette=\"pastel\")\n",
"sns.set_context(\"notebook\")\n",
"\n",
"ax = pd.DataFrame(df_train['land_cover_label'].value_counts()).sort_values('land_cover_label').plot(kind='barh', figsize=(5, 20), log=True, legend=False)\n",
"ax.set_xlabel(\"Number of samples\")"
]
},
{
"cell_type": "markdown",
"id": "303a71e7-2fd5-4369-a606-ad6b1721fe0d",
"metadata": {
"id": "303a71e7-2fd5-4369-a606-ad6b1721fe0d"
},
"source": [
"And how many features?"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "b09bfe21-d0bd-4efa-9d19-c65f1bd1cbd8",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "b09bfe21-d0bd-4efa-9d19-c65f1bd1cbd8",
"outputId": "d1699e83-45da-4385-aa4d-b0c006bcee9f"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Number of features: 416\n"
]
}
],
"source": [
"feat_cols = df_train.columns[3:]\n",
"print(f'Number of features: {len(feat_cols)}')"
]
},
{
"cell_type": "markdown",
"id": "049f80a9-9bbf-477c-b85b-9cbee9abb9da",
"metadata": {
"id": "049f80a9-9bbf-477c-b85b-9cbee9abb9da"
},
"source": [
"Okay. Let's prepare the data for modeling:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "c17360bc-ae42-42fe-a44d-b6f046879ccb",
"metadata": {
"id": "c17360bc-ae42-42fe-a44d-b6f046879ccb"
},
"outputs": [],
"source": [
"X_train = df_train[feat_cols].to_numpy()\n",
"y_train = df_train['land_cover'].to_numpy()"
]
},
{
"cell_type": "markdown",
"id": "3ef8df20-a25d-4014-b45d-c684a565091b",
"metadata": {
"id": "3ef8df20-a25d-4014-b45d-c684a565091b"
},
"source": [
"Go for it [Random Forest classifier](http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html)!"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "413d5064-e0af-4f56-8f9c-17a928156d08",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 91
},
"id": "413d5064-e0af-4f56-8f9c-17a928156d08",
"outputId": "599fa6cf-57ed-43a6-9624-5689adc7d1c1"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Training vanilla RF\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"RandomForestClassifier(n_jobs=-1, random_state=1989)"
],
"text/html": [
"<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(n_jobs=-1, random_state=1989)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(n_jobs=-1, random_state=1989)</pre></div></div></div></div></div>"
]
},
"metadata": {},
"execution_count": 6
}
],
"source": [
"from sklearn.ensemble import RandomForestClassifier\n",
"\n",
"print(\"Training vanilla RF\")\n",
"rf = RandomForestClassifier(random_state=1989, n_jobs=-1)\n",
"rf.fit(X_train, y_train)"
]
},
{
"cell_type": "markdown",
"id": "7940e3f8-c758-4add-8a30-dec9f1ae0cdb",
"metadata": {
"id": "7940e3f8-c758-4add-8a30-dec9f1ae0cdb"
},
"source": [
"It's time to load the test set:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "e9e5af4f-dd43-4e74-8090-94aed1ac5f6e",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 475
},
"id": "e9e5af4f-dd43-4e74-8090-94aed1ac5f6e",
"outputId": "d1e80f5c-616f-4736-9357-066a6e8ac8bc"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
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" year evi_mod13q1.stl.trend_p90_250m_jan01_feb28 \\\n",
"sample_id \n",
"0 2018 2759.0 \n",
"1 2012 4085.0 \n",
"2 2018 4169.0 \n",
"3 2012 2783.0 \n",
"4 2009 3915.0 \n",
"... ... ... \n",
"42266 2012 4960.0 \n",
"42267 2015 3974.0 \n",
"42268 2009 3753.0 \n",
"42269 2018 5632.0 \n",
"42270 2018 5696.0 \n",
"\n",
" lst_mod11a2.nighttime.trend_p50_1km_jan01_jan31 \\\n",
"sample_id \n",
"0 14005.0 \n",
"1 14007.0 \n",
"2 14024.0 \n",
"3 14008.0 \n",
"4 13825.0 \n",
"... ... \n",
"42266 13955.0 \n",
"42267 13892.0 \n",
"42268 13971.0 \n",
"42269 14109.0 \n",
"42270 13914.0 \n",
"\n",
" lst_mod11a2.nighttime.trend_p50_1km_feb01_feb28 \\\n",
"sample_id \n",
"0 14001.0 \n",
"1 14006.0 \n",
"2 14026.0 \n",
"3 14006.0 \n",
"4 13826.0 \n",
"... ... \n",
"42266 13952.0 \n",
"42267 13893.0 \n",
"42268 13971.0 \n",
"42269 14110.0 \n",
"42270 13916.0 \n",
"\n",
" lst_mod11a2.nighttime.trend_p50_1km_mar01_mar31 \\\n",
"sample_id \n",
"0 13998.0 \n",
"1 14004.0 \n",
"2 14028.0 \n",
"3 14004.0 \n",
"4 13826.0 \n",
"... ... \n",
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"\n",
" lst_mod11a2.nighttime.trend_p50_1km_apr01_apr30 \\\n",
"sample_id \n",
"0 13997.0 \n",
"1 14002.0 \n",
"2 14030.0 \n",
"3 14003.0 \n",
"4 13827.0 \n",
"... ... \n",
"42266 13944.0 \n",
"42267 13897.0 \n",
"42268 13973.0 \n",
"42269 14113.0 \n",
"42270 13919.0 \n",
"\n",
" evi_mod13q1_p90_250m_nov01_dec31 \\\n",
"sample_id \n",
"0 3435.0 \n",
"1 3764.0 \n",
"2 2684.0 \n",
"3 5791.0 \n",
"4 2322.0 \n",
"... ... \n",
"42266 3259.0 \n",
"42267 2333.0 \n",
"42268 3448.0 \n",
"42269 5954.0 \n",
"42270 6418.0 \n",
"\n",
" lst_mod11a2.nighttime.trend_p50_1km_may01_may31 \\\n",
"sample_id \n",
"0 13996.0 \n",
"1 13998.0 \n",
"2 14031.0 \n",
"3 14002.0 \n",
"4 13828.0 \n",
"... ... \n",
"42266 13939.0 \n",
"42267 13898.0 \n",
"42268 13974.0 \n",
"42269 14114.0 \n",
"42270 13922.0 \n",
"\n",
" evi_mod13q1_p90_250m_sep01_oct31 \\\n",
"sample_id \n",
"0 2272.0 \n",
"1 2454.0 \n",
"2 2536.0 \n",
"3 3132.0 \n",
"4 2242.0 \n",
"... ... \n",
"42266 3846.0 \n",
"42267 2761.0 \n",
"42268 3283.0 \n",
"42269 4779.0 \n",
"42270 5428.0 \n",
"\n",
" lst_mod11a2.nighttime.trend_p50_1km_jul01_jul31 ... \\\n",
"sample_id ... \n",
"0 13997.0 ... \n",
"1 13988.0 ... \n",
"2 14035.0 ... \n",
"3 14000.0 ... \n",
"4 13830.0 ... \n",
"... ... ... \n",
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"42267 13904.0 ... \n",
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"42269 14117.0 ... \n",
"42270 13928.0 ... \n",
"\n",
" evi_mod13q1_p50_250m_2000_2022 evi_mod13q1_p95_250m_2000_2022 \\\n",
"sample_id \n",
"0 1814.0 3230.0 \n",
"1 2178.0 5968.0 \n",
"2 4296.0 6164.0 \n",
"3 1795.0 2256.0 \n",
"4 4784.0 5660.0 \n",
"... ... ... \n",
"42266 2882.0 5952.0 \n",
"42267 2930.0 5572.0 \n",
"42268 3210.0 4096.0 \n",
"42269 5744.0 6416.0 \n",
"42270 3336.0 6456.0 \n",
"\n",
" blue_mod13q1_p95_250m_2000_2022 red_mod13q1_p50_250m_2000_2022 \\\n",
"sample_id \n",
"0 929.0 1476.0 \n",
"1 676.0 768.0 \n",
"2 366.0 453.0 \n",
"3 775.0 1490.0 \n",
"4 256.0 267.0 \n",
"... ... ... \n",
"42266 534.0 829.0 \n",
"42267 343.0 387.0 \n",
"42268 302.0 388.0 \n",
"42269 487.0 486.0 \n",
"42270 565.0 765.0 \n",
"\n",
" ndvi_mod13q1_sd_250m_2000_2022 nir_mod13q1_sd_250m_2000_2022 \\\n",
"sample_id \n",
"0 845.0 596.0 \n",
"1 1932.0 946.0 \n",
"2 1442.0 909.0 \n",
"3 750.0 418.0 \n",
"4 1410.0 828.0 \n",
"... ... ... \n",
"42266 1549.0 733.0 \n",
"42267 1357.0 808.0 \n",
"42268 487.0 592.0 \n",
"42269 1154.0 727.0 \n",
"42270 1527.0 857.0 \n",
"\n",
" pop.count_ghs.jrc_m_100m \\\n",
"sample_id \n",
"0 0.0 \n",
"1 0.0 \n",
"2 0.0 \n",
"3 0.0 \n",
"4 0.0 \n",
"... ... \n",
"42266 5.0 \n",
"42267 0.0 \n",
"42268 0.0 \n",
"42269 4.0 \n",
"42270 0.0 \n",
"\n",
" cost.distance.to.coast_gedi.grass.gis_30m_2000..2018 \\\n",
"sample_id \n",
"0 1039.0 \n",
"1 199.0 \n",
"2 535.0 \n",
"3 1049.0 \n",
"4 1032.0 \n",
"... ... \n",
"42266 20.0 \n",
"42267 275.0 \n",
"42268 494.0 \n",
"42269 12.0 \n",
"42270 1.0 \n",
"\n",
" slope.percent_gedi.eml_m_30m_2000_2018 \\\n",
"sample_id \n",
"0 5.0 \n",
"1 3.0 \n",
"2 6.0 \n",
"3 4.0 \n",
"4 25.0 \n",
"... ... \n",
"42266 4.0 \n",
"42267 15.0 \n",
"42268 19.0 \n",
"42269 19.0 \n",
"42270 3.0 \n",
"\n",
" elev.lowestmode_gedi.eml_m_30m_2000_2018 \n",
"sample_id \n",
"0 833.0 \n",
"1 199.0 \n",
"2 135.0 \n",
"3 742.0 \n",
"4 758.0 \n",
"... ... \n",
"42266 69.0 \n",
"42267 275.0 \n",
"42268 623.0 \n",
"42269 103.0 \n",
"42270 42.0 \n",
"\n",
"[42271 rows x 417 columns]"
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>year</th>\n",
" <th>evi_mod13q1.stl.trend_p90_250m_jan01_feb28</th>\n",
" <th>lst_mod11a2.nighttime.trend_p50_1km_jan01_jan31</th>\n",
" <th>lst_mod11a2.nighttime.trend_p50_1km_feb01_feb28</th>\n",
" <th>lst_mod11a2.nighttime.trend_p50_1km_mar01_mar31</th>\n",
" <th>lst_mod11a2.nighttime.trend_p50_1km_apr01_apr30</th>\n",
" <th>evi_mod13q1_p90_250m_nov01_dec31</th>\n",
" <th>lst_mod11a2.nighttime.trend_p50_1km_may01_may31</th>\n",
" <th>evi_mod13q1_p90_250m_sep01_oct31</th>\n",
" <th>lst_mod11a2.nighttime.trend_p50_1km_jul01_jul31</th>\n",
" <th>...</th>\n",
" <th>evi_mod13q1_p50_250m_2000_2022</th>\n",
" <th>evi_mod13q1_p95_250m_2000_2022</th>\n",
" <th>blue_mod13q1_p95_250m_2000_2022</th>\n",
" <th>red_mod13q1_p50_250m_2000_2022</th>\n",
" <th>ndvi_mod13q1_sd_250m_2000_2022</th>\n",
" <th>nir_mod13q1_sd_250m_2000_2022</th>\n",
" <th>pop.count_ghs.jrc_m_100m</th>\n",
" <th>cost.distance.to.coast_gedi.grass.gis_30m_2000..2018</th>\n",
" <th>slope.percent_gedi.eml_m_30m_2000_2018</th>\n",
" <th>elev.lowestmode_gedi.eml_m_30m_2000_2018</th>\n",
" </tr>\n",
" <tr>\n",
" <th>sample_id</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
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" <th></th>\n",
" <th></th>\n",
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" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2018</td>\n",
" <td>2759.0</td>\n",
" <td>14005.0</td>\n",
" <td>14001.0</td>\n",
" <td>13998.0</td>\n",
" <td>13997.0</td>\n",
" <td>3435.0</td>\n",
" <td>13996.0</td>\n",
" <td>2272.0</td>\n",
" <td>13997.0</td>\n",
" <td>...</td>\n",
" <td>1814.0</td>\n",
" <td>3230.0</td>\n",
" <td>929.0</td>\n",
" <td>1476.0</td>\n",
" <td>845.0</td>\n",
" <td>596.0</td>\n",
" <td>0.0</td>\n",
" <td>1039.0</td>\n",
" <td>5.0</td>\n",
" <td>833.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2012</td>\n",
" <td>4085.0</td>\n",
" <td>14007.0</td>\n",
" <td>14006.0</td>\n",
" <td>14004.0</td>\n",
" <td>14002.0</td>\n",
" <td>3764.0</td>\n",
" <td>13998.0</td>\n",
" <td>2454.0</td>\n",
" <td>13988.0</td>\n",
" <td>...</td>\n",
" <td>2178.0</td>\n",
" <td>5968.0</td>\n",
" <td>676.0</td>\n",
" <td>768.0</td>\n",
" <td>1932.0</td>\n",
" <td>946.0</td>\n",
" <td>0.0</td>\n",
" <td>199.0</td>\n",
" <td>3.0</td>\n",
" <td>199.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2018</td>\n",
" <td>4169.0</td>\n",
" <td>14024.0</td>\n",
" <td>14026.0</td>\n",
" <td>14028.0</td>\n",
" <td>14030.0</td>\n",
" <td>2684.0</td>\n",
" <td>14031.0</td>\n",
" <td>2536.0</td>\n",
" <td>14035.0</td>\n",
" <td>...</td>\n",
" <td>4296.0</td>\n",
" <td>6164.0</td>\n",
" <td>366.0</td>\n",
" <td>453.0</td>\n",
" <td>1442.0</td>\n",
" <td>909.0</td>\n",
" <td>0.0</td>\n",
" <td>535.0</td>\n",
" <td>6.0</td>\n",
" <td>135.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2012</td>\n",
" <td>2783.0</td>\n",
" <td>14008.0</td>\n",
" <td>14006.0</td>\n",
" <td>14004.0</td>\n",
" <td>14003.0</td>\n",
" <td>5791.0</td>\n",
" <td>14002.0</td>\n",
" <td>3132.0</td>\n",
" <td>14000.0</td>\n",
" <td>...</td>\n",
" <td>1795.0</td>\n",
" <td>2256.0</td>\n",
" <td>775.0</td>\n",
" <td>1490.0</td>\n",
" <td>750.0</td>\n",
" <td>418.0</td>\n",
" <td>0.0</td>\n",
" <td>1049.0</td>\n",
" <td>4.0</td>\n",
" <td>742.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2009</td>\n",
" <td>3915.0</td>\n",
" <td>13825.0</td>\n",
" <td>13826.0</td>\n",
" <td>13826.0</td>\n",
" <td>13827.0</td>\n",
" <td>2322.0</td>\n",
" <td>13828.0</td>\n",
" <td>2242.0</td>\n",
" <td>13830.0</td>\n",
" <td>...</td>\n",
" <td>4784.0</td>\n",
" <td>5660.0</td>\n",
" <td>256.0</td>\n",
" <td>267.0</td>\n",
" <td>1410.0</td>\n",
" <td>828.0</td>\n",
" <td>0.0</td>\n",
" <td>1032.0</td>\n",
" <td>25.0</td>\n",
" <td>758.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
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" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42266</th>\n",
" <td>2012</td>\n",
" <td>4960.0</td>\n",
" <td>13955.0</td>\n",
" <td>13952.0</td>\n",
" <td>13948.0</td>\n",
" <td>13944.0</td>\n",
" <td>3259.0</td>\n",
" <td>13939.0</td>\n",
" <td>3846.0</td>\n",
" <td>13926.0</td>\n",
" <td>...</td>\n",
" <td>2882.0</td>\n",
" <td>5952.0</td>\n",
" <td>534.0</td>\n",
" <td>829.0</td>\n",
" <td>1549.0</td>\n",
" <td>733.0</td>\n",
" <td>5.0</td>\n",
" <td>20.0</td>\n",
" <td>4.0</td>\n",
" <td>69.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42267</th>\n",
" <td>2015</td>\n",
" <td>3974.0</td>\n",
" <td>13892.0</td>\n",
" <td>13893.0</td>\n",
" <td>13895.0</td>\n",
" <td>13897.0</td>\n",
" <td>2333.0</td>\n",
" <td>13898.0</td>\n",
" <td>2761.0</td>\n",
" <td>13904.0</td>\n",
" <td>...</td>\n",
" <td>2930.0</td>\n",
" <td>5572.0</td>\n",
" <td>343.0</td>\n",
" <td>387.0</td>\n",
" <td>1357.0</td>\n",
" <td>808.0</td>\n",
" <td>0.0</td>\n",
" <td>275.0</td>\n",
" <td>15.0</td>\n",
" <td>275.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42268</th>\n",
" <td>2009</td>\n",
" <td>3753.0</td>\n",
" <td>13971.0</td>\n",
" <td>13971.0</td>\n",
" <td>13972.0</td>\n",
" <td>13973.0</td>\n",
" <td>3448.0</td>\n",
" <td>13974.0</td>\n",
" <td>3283.0</td>\n",
" <td>13974.0</td>\n",
" <td>...</td>\n",
" <td>3210.0</td>\n",
" <td>4096.0</td>\n",
" <td>302.0</td>\n",
" <td>388.0</td>\n",
" <td>487.0</td>\n",
" <td>592.0</td>\n",
" <td>0.0</td>\n",
" <td>494.0</td>\n",
" <td>19.0</td>\n",
" <td>623.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42269</th>\n",
" <td>2018</td>\n",
" <td>5632.0</td>\n",
" <td>14109.0</td>\n",
" <td>14110.0</td>\n",
" <td>14111.0</td>\n",
" <td>14113.0</td>\n",
" <td>5954.0</td>\n",
" <td>14114.0</td>\n",
" <td>4779.0</td>\n",
" <td>14117.0</td>\n",
" <td>...</td>\n",
" <td>5744.0</td>\n",
" <td>6416.0</td>\n",
" <td>487.0</td>\n",
" <td>486.0</td>\n",
" <td>1154.0</td>\n",
" <td>727.0</td>\n",
" <td>4.0</td>\n",
" <td>12.0</td>\n",
" <td>19.0</td>\n",
" <td>103.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42270</th>\n",
" <td>2018</td>\n",
" <td>5696.0</td>\n",
" <td>13914.0</td>\n",
" <td>13916.0</td>\n",
" <td>13917.0</td>\n",
" <td>13919.0</td>\n",
" <td>6418.0</td>\n",
" <td>13922.0</td>\n",
" <td>5428.0</td>\n",
" <td>13928.0</td>\n",
" <td>...</td>\n",
" <td>3336.0</td>\n",
" <td>6456.0</td>\n",
" <td>565.0</td>\n",
" <td>765.0</td>\n",
" <td>1527.0</td>\n",
" <td>857.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>3.0</td>\n",
" <td>42.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>42271 rows × 417 columns</p>\n",
"</div>\n",
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" const element = document.querySelector('#df-827116a1-7b50-47a9-b8c1-0bc172add855');\n",
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" const docLinkHtml = 'Like what you see? Visit the ' +\n",
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" border-color: transparent;\n",
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" 80% {\n",
" border-color: transparent;\n",
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" 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",
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" let quickchartButtonEl =\n",
" document.querySelector('#df-9112ca95-562e-4058-bda9-b16c49db2a50 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
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"</div>\n",
" </div>\n",
" </div>\n"
]
},
"metadata": {},
"execution_count": 7
}
],
"source": [
"df_test = pd.read_csv(f_test, index_col='sample_id')\n",
"df_test"
]
},
{
"cell_type": "markdown",
"id": "444f4902-c539-4846-bced-b843e11bbf0b",
"metadata": {
"id": "444f4902-c539-4846-bced-b843e11bbf0b"
},
"source": [
"... and predicted it:"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "fd541b5d-05af-4094-b074-9248ef201d2c",
"metadata": {
"id": "fd541b5d-05af-4094-b074-9248ef201d2c"
},
"outputs": [],
"source": [
"X_test = df_test[feat_cols].to_numpy()\n",
"y_pred = rf.predict(X_test)"
]
},
{
"cell_type": "markdown",
"id": "8a6accfd-b870-4b2e-a0cf-1aec74b5c319",
"metadata": {
"id": "8a6accfd-b870-4b2e-a0cf-1aec74b5c319"
},
"source": [
"Don't forget to save the output according to [submission_sample.csv](https://www.kaggle.com/competitions/oemc-hackathon-eu-land-cover-classification/data) and submit to [Kaggle](https://www.kaggle.com/competitions/oemc-hackathon-eu-land-cover-classification/leaderboard)."
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "d2209097-ee6a-4036-be68-cfe9b16a8a08",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "d2209097-ee6a-4036-be68-cfe9b16a8a08",
"outputId": "3ce0d210-b8ee-4505-a352-31d9c2b8bb33"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Submission file Andriy_OEMC_hackathon_2023.csv ready (shape=(42271, 1))\n"
]
}
],
"source": [
"df_subm = pd.DataFrame({'land_cover': y_pred}, index=pd.Index(df_test.index, name='sample_id'))\n",
"f_subm = 'Andriy_OEMC_hackathon_2023.csv'\n",
"\n",
"df_subm.to_csv(f_subm)\n",
"print(f\"Submission file {f_subm} ready (shape={df_subm.shape})\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.13"
},
"colab": {
"provenance": [],
"name": "Andriy_oemc_hackathon_2023.ipynb",
"gpuType": "T4",
"include_colab_link": true
},
"accelerator": "GPU"
},
"nbformat": 4,
"nbformat_minor": 5
}
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