{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# *In situ* split calibration-validation with complex strategies (*optional*)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as mpatches\n",
    "import numpy as np\n",
    "import plotly.express as px\n",
    "from collections import defaultdict\n",
    "from pathlib import Path"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Set directory**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "computer_path = '/export/miro/ndeffense/LBRAT2104/'\n",
    "grp_nb        = '99'\n",
    "\n",
    "# Directory for all work files\n",
    "work_path = f'{computer_path}STUDENTS/GROUP_{grp_nb}/TP/'\n",
    "\n",
    "in_situ_prepro_path  = f'{work_path}B_IN_SITU_PREPRO/'\n",
    "in_situ_cal_val_path = f'{work_path}C_IN_SITU_CAL_VAL/'\n",
    "\n",
    "Path(in_situ_cal_val_path).mkdir(parents=True, exist_ok=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Set parameters**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "site = 'NAMUR'\n",
    "year = '2020'\n",
    "\n",
    "field_classif_code = 'grp_1_nb'\n",
    "field_classif_name = 'grp_1'\n",
    "\n",
    "pix_best = 10\n",
    "pix_ratio_threshold = 0.05\n",
    "\n",
    "sample_ratio_hi = 0.25\n",
    "sample_ratio_lo = 0.75"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Set filenames**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Input file\n",
    "in_situ_prepared_shp = f'{in_situ_prepro_path}{site}_{year}_IN_SITU_ROI_prepared.shp'\n",
    "\n",
    "# Output files\n",
    "in_situ_cal_shp = f'{in_situ_cal_val_path}{site}_{year}_IN_SITU_ROI_CAL.shp'\n",
    "in_situ_val_shp = f'{in_situ_cal_val_path}{site}_{year}_IN_SITU_ROI_VAL.shp'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Open *in situ* data prepared"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>id</th>\n",
       "      <th>lc_nb</th>\n",
       "      <th>lc</th>\n",
       "      <th>grp_nb</th>\n",
       "      <th>grp</th>\n",
       "      <th>class_nb</th>\n",
       "      <th>class</th>\n",
       "      <th>sub_nb</th>\n",
       "      <th>sub</th>\n",
       "      <th>grp_1_nb</th>\n",
       "      <th>grp_1</th>\n",
       "      <th>grp_A_nb</th>\n",
       "      <th>grp_A</th>\n",
       "      <th>area</th>\n",
       "      <th>pix_count</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>1735</td>\n",
       "      <td>17</td>\n",
       "      <td>MULTIPOLYGON (((630003.573 5594258.004, 630003...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>14331</td>\n",
       "      <td>146</td>\n",
       "      <td>POLYGON ((636962.589 5595674.757, 636966.536 5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>1768</td>\n",
       "      <td>18</td>\n",
       "      <td>POLYGON ((635692.119 5593303.601, 635688.405 5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>7828</td>\n",
       "      <td>79</td>\n",
       "      <td>POLYGON ((627911.368 5595749.375, 627942.033 5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3197</td>\n",
       "      <td>39</td>\n",
       "      <td>POLYGON ((633236.525 5596165.100, 633397.286 5...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  lc_nb                     lc  grp_nb                    grp  class_nb  \\\n",
       "0   4      3  Grassland and meadows      31  Grassland and meadows       319   \n",
       "1   5      3  Grassland and meadows      31  Grassland and meadows       319   \n",
       "2   6      3  Grassland and meadows      31  Grassland and meadows       319   \n",
       "3   7      3  Grassland and meadows      31  Grassland and meadows       319   \n",
       "4   9      3  Grassland and meadows      31  Grassland and meadows       319   \n",
       "\n",
       "                   class  sub_nb                    sub  grp_1_nb  \\\n",
       "0  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "1  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "2  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "3  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "4  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "\n",
       "                   grp_1  grp_A_nb                  grp_A   area  pix_count  \\\n",
       "0  Grassland and meadows         3  Grassland and meadows   1735         17   \n",
       "1  Grassland and meadows         3  Grassland and meadows  14331        146   \n",
       "2  Grassland and meadows         3  Grassland and meadows   1768         18   \n",
       "3  Grassland and meadows         3  Grassland and meadows   7828         79   \n",
       "4  Grassland and meadows         3  Grassland and meadows   3197         39   \n",
       "\n",
       "                                            geometry  \n",
       "0  MULTIPOLYGON (((630003.573 5594258.004, 630003...  \n",
       "1  POLYGON ((636962.589 5595674.757, 636966.536 5...  \n",
       "2  POLYGON ((635692.119 5593303.601, 635688.405 5...  \n",
       "3  POLYGON ((627911.368 5595749.375, 627942.033 5...  \n",
       "4  POLYGON ((633236.525 5596165.100, 633397.286 5...  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gdf = gpd.read_file(in_situ_prepared_shp)\n",
    "\n",
    "display(gdf.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Get \"pixel ratio\" for each polygons\n",
    "\n",
    "Pixel ratio = number of 10m pixels belonging to specific crop type\n",
    "divided by the total number of 10m pixels\n",
    "\n",
    "$ pix\\_ratio = \\frac{crop\\_pix}{total\\_pix} $\n",
    "\n",
    "\n",
    "> All polygons from a same class will have the same pixel ratio !"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>id</th>\n",
       "      <th>lc_nb</th>\n",
       "      <th>lc</th>\n",
       "      <th>grp_nb</th>\n",
       "      <th>grp</th>\n",
       "      <th>class_nb</th>\n",
       "      <th>class</th>\n",
       "      <th>sub_nb</th>\n",
       "      <th>sub</th>\n",
       "      <th>grp_1_nb</th>\n",
       "      <th>grp_1</th>\n",
       "      <th>grp_A_nb</th>\n",
       "      <th>grp_A</th>\n",
       "      <th>area</th>\n",
       "      <th>pix_count</th>\n",
       "      <th>geometry</th>\n",
       "      <th>crop_pix</th>\n",
       "      <th>pix_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>1735</td>\n",
       "      <td>17</td>\n",
       "      <td>MULTIPOLYGON (((630003.573 5594258.004, 630003...</td>\n",
       "      <td>23889</td>\n",
       "      <td>0.222207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>14331</td>\n",
       "      <td>146</td>\n",
       "      <td>POLYGON ((636962.589 5595674.757, 636966.536 5...</td>\n",
       "      <td>23889</td>\n",
       "      <td>0.222207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>1768</td>\n",
       "      <td>18</td>\n",
       "      <td>POLYGON ((635692.119 5593303.601, 635688.405 5...</td>\n",
       "      <td>23889</td>\n",
       "      <td>0.222207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>7828</td>\n",
       "      <td>79</td>\n",
       "      <td>POLYGON ((627911.368 5595749.375, 627942.033 5...</td>\n",
       "      <td>23889</td>\n",
       "      <td>0.222207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>31</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>319</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3199</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>3197</td>\n",
       "      <td>39</td>\n",
       "      <td>POLYGON ((633236.525 5596165.100, 633397.286 5...</td>\n",
       "      <td>23889</td>\n",
       "      <td>0.222207</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  lc_nb                     lc  grp_nb                    grp  class_nb  \\\n",
       "0   4      3  Grassland and meadows      31  Grassland and meadows       319   \n",
       "1   5      3  Grassland and meadows      31  Grassland and meadows       319   \n",
       "2   6      3  Grassland and meadows      31  Grassland and meadows       319   \n",
       "3   7      3  Grassland and meadows      31  Grassland and meadows       319   \n",
       "4   9      3  Grassland and meadows      31  Grassland and meadows       319   \n",
       "\n",
       "                   class  sub_nb                    sub  grp_1_nb  \\\n",
       "0  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "1  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "2  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "3  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "4  Grassland and meadows    3199  Grassland and meadows         3   \n",
       "\n",
       "                   grp_1  grp_A_nb                  grp_A   area  pix_count  \\\n",
       "0  Grassland and meadows         3  Grassland and meadows   1735         17   \n",
       "1  Grassland and meadows         3  Grassland and meadows  14331        146   \n",
       "2  Grassland and meadows         3  Grassland and meadows   1768         18   \n",
       "3  Grassland and meadows         3  Grassland and meadows   7828         79   \n",
       "4  Grassland and meadows         3  Grassland and meadows   3197         39   \n",
       "\n",
       "                                            geometry  crop_pix  pix_ratio  \n",
       "0  MULTIPOLYGON (((630003.573 5594258.004, 630003...     23889   0.222207  \n",
       "1  POLYGON ((636962.589 5595674.757, 636966.536 5...     23889   0.222207  \n",
       "2  POLYGON ((635692.119 5593303.601, 635688.405 5...     23889   0.222207  \n",
       "3  POLYGON ((627911.368 5595749.375, 627942.033 5...     23889   0.222207  \n",
       "4  POLYGON ((633236.525 5596165.100, 633397.286 5...     23889   0.222207  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gdf['crop_pix'] = gdf.groupby(field_classif_code)['pix_count'].transform('sum')\n",
    "\n",
    "gdf['pix_ratio'] = gdf['crop_pix'] / gdf['pix_count'].sum()\n",
    "\n",
    "display(gdf.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Assign sampling design strategy for each polygons\n",
    "\n",
    "The polygons that are selected for the classification are used either for the calibration of the classifier model or for the validation of the results. Even though the classification is run per-pixel, this split\n",
    "needs to be done at the polygon-level to ensure a proper independent validation following international\n",
    "standards.  \n",
    "This split at the polygon-level is done into 3 steps:\n",
    "- the smallest polygons are automatically NOT considered for the calibration and thus assigned to the\n",
    "validation pool;\n",
    "- for each class, the number of training pixels $crop\\_target$ is defined considering the size of the class;\n",
    "- calibration polygons are randomly selected to reach this $crop\\_target$ value and the remaining\n",
    "polygons are allocated to the validation.\n",
    "\n",
    "### Strategy 1 — majority classes\n",
    "\n",
    "By default, the majority classes are defined as those counting a number of 10m pixels corresponding to more\n",
    "than 5% (`pix_ratio_threshold`) of the total number of pixels considering all classes to map.\n",
    "\n",
    "Crop type belongs to strategy 1 if :\n",
    "\n",
    "$pix\\_ratio ≥ pix\\_ratio\\_threshold$\n",
    "\n",
    "In this case, for each majority class, the number of training pixels $crop\\_target$ will correspond to 25% of the number of pixels of the class (crop_pixels) :\n",
    "\n",
    "$crop\\_target = sample\\_ratio\\_hi \\times crop\\_pix$\n",
    "\n",
    "### Strategy 2 — minority classes\n",
    "\n",
    "The minor classes are defined as those counting a number of S2 pixels corresponding to less than 5% of the\n",
    "total number of pixels considering all classes to map.\n",
    " \n",
    "Crop type belongs to strategy 2 if :\n",
    "\n",
    "$pix\\_ratio < pix\\_ratio\\_threshold$\n",
    "\n",
    "In this case, for each minor class, the number of training pixels $crop\\_target$ will correspond to 75% of the number of pixels of the class :\n",
    "\n",
    "$crop\\_target = sample\\_ratio\\_lo \\times crop\\_pix$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>grp_1_nb</th>\n",
       "      <th>grp_1</th>\n",
       "      <th>crop_pix</th>\n",
       "      <th>pix_ratio</th>\n",
       "      <th>strategy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>1111</td>\n",
       "      <td>Winter wheat</td>\n",
       "      <td>29633</td>\n",
       "      <td>0.275635</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>23889</td>\n",
       "      <td>0.222207</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>1121</td>\n",
       "      <td>Maize</td>\n",
       "      <td>8667</td>\n",
       "      <td>0.080617</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>1811</td>\n",
       "      <td>Sugar beet</td>\n",
       "      <td>7400</td>\n",
       "      <td>0.068832</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>1152</td>\n",
       "      <td>Barley six-row</td>\n",
       "      <td>6659</td>\n",
       "      <td>0.061940</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>1511</td>\n",
       "      <td>Potatoes</td>\n",
       "      <td>6439</td>\n",
       "      <td>0.059893</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>1192</td>\n",
       "      <td>Other cereals</td>\n",
       "      <td>6117</td>\n",
       "      <td>0.056898</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>1771</td>\n",
       "      <td>Peas</td>\n",
       "      <td>3606</td>\n",
       "      <td>0.033542</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>3109</td>\n",
       "      <td>0.028919</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403</th>\n",
       "      <td>1923</td>\n",
       "      <td>Flax  hemp and other similar crops</td>\n",
       "      <td>2810</td>\n",
       "      <td>0.026138</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>21</td>\n",
       "      <td>Fruits trees</td>\n",
       "      <td>2239</td>\n",
       "      <td>0.020826</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>1435</td>\n",
       "      <td>Rapeseed</td>\n",
       "      <td>1826</td>\n",
       "      <td>0.016985</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>81</td>\n",
       "      <td>Urban</td>\n",
       "      <td>1795</td>\n",
       "      <td>0.016696</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>121</td>\n",
       "      <td>Leafy or stem vegetables</td>\n",
       "      <td>1351</td>\n",
       "      <td>0.012567</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>1171</td>\n",
       "      <td>Oats</td>\n",
       "      <td>776</td>\n",
       "      <td>0.007218</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>1911</td>\n",
       "      <td>Alfalfa</td>\n",
       "      <td>554</td>\n",
       "      <td>0.005153</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>84</td>\n",
       "      <td>Greenhouses</td>\n",
       "      <td>252</td>\n",
       "      <td>0.002344</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>9212</td>\n",
       "      <td>Permanent rivers and streams</td>\n",
       "      <td>208</td>\n",
       "      <td>0.001935</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>22</td>\n",
       "      <td>Vineyards</td>\n",
       "      <td>178</td>\n",
       "      <td>0.001656</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     grp_1_nb                               grp_1  crop_pix  pix_ratio  \\\n",
       "221      1111                        Winter wheat     29633   0.275635   \n",
       "0           3               Grassland and meadows     23889   0.222207   \n",
       "295      1121                               Maize      8667   0.080617   \n",
       "331      1811                          Sugar beet      7400   0.068832   \n",
       "352      1152                      Barley six-row      6659   0.061940   \n",
       "441      1511                            Potatoes      6439   0.059893   \n",
       "376      1192                       Other cereals      6117   0.056898   \n",
       "411      1771                                Peas      3606   0.033542   \n",
       "502        69                              Forest      3109   0.028919   \n",
       "403      1923  Flax  hemp and other similar crops      2810   0.026138   \n",
       "455        21                        Fruits trees      2239   0.020826   \n",
       "421      1435                            Rapeseed      1826   0.016985   \n",
       "466        81                               Urban      1795   0.016696   \n",
       "409       121            Leafy or stem vegetables      1351   0.012567   \n",
       "394      1171                                Oats       776   0.007218   \n",
       "434      1911                             Alfalfa       554   0.005153   \n",
       "429        84                         Greenhouses       252   0.002344   \n",
       "462      9212        Permanent rivers and streams       208   0.001935   \n",
       "372        22                           Vineyards       178   0.001656   \n",
       "\n",
       "     strategy  \n",
       "221         1  \n",
       "0           1  \n",
       "295         1  \n",
       "331         1  \n",
       "352         1  \n",
       "441         1  \n",
       "376         1  \n",
       "411         2  \n",
       "502         2  \n",
       "403         2  \n",
       "455         2  \n",
       "421         2  \n",
       "466         2  \n",
       "409         2  \n",
       "394         2  \n",
       "434         2  \n",
       "429         2  \n",
       "462         2  \n",
       "372         2  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of polygons for training   : 205\n",
      "Number of polygons for validation : 332\n"
     ]
    }
   ],
   "source": [
    "# Assign sampling design strategy for each polygons\n",
    "# -------------------------------------------------\n",
    "\n",
    "gdf['strategy'] = np.where(gdf['pix_count'] < pix_best, 3,\n",
    "                           np.where(gdf['pix_ratio'] >= pix_ratio_threshold, 1, 2))\n",
    "\n",
    "\n",
    "# Build a table to summarize the strategy assign to each class\n",
    "df = gdf[[field_classif_code,field_classif_name,'crop_pix','pix_ratio','strategy']].drop_duplicates()\n",
    "df = df[df['strategy'] != 3].sort_values('pix_ratio', ascending=False)\n",
    "\n",
    "display(df)\n",
    "\n",
    "\n",
    "# Split polygons in training and validation datasets\n",
    "# --------------------------------------------------\n",
    "\n",
    "training_pixels = defaultdict(lambda: 0)\n",
    "training_target = {}\n",
    "\n",
    "cal_id_list = []\n",
    "val_id_list = []\n",
    "\n",
    "gdf_shuffle = gdf.sample(len(gdf), random_state=1)  # Shuffle geodataframe randomly\n",
    "\n",
    "for i, row in gdf_shuffle.iterrows():\n",
    "\n",
    "    id          = row['id']\n",
    "    crop_code   = row[field_classif_code]\n",
    "    crop_pix    = row['crop_pix']\n",
    "    strategy    = row['strategy']\n",
    "    pix_count   = row['pix_count']\n",
    "\n",
    "    if strategy != 3:\n",
    "        if strategy == 1:\n",
    "            crop_target = sample_ratio_hi * crop_pix\n",
    "            training_target[crop_code] = crop_target\n",
    "        \n",
    "        elif strategy == 2:\n",
    "            crop_target = sample_ratio_lo * crop_pix\n",
    "            training_target[crop_code] = crop_target\n",
    "\n",
    "        pixels = training_pixels[crop_code]\n",
    "\n",
    "        if pixels + pix_count <= crop_target:  # If below crop target, add polygons in training set\n",
    "            training_pixels[crop_code] = pixels + pix_count  # Update number of training pixels by crop code\n",
    "            purpose = 0  # training\n",
    "        \n",
    "        else:\n",
    "            purpose = 1  # validation because \"crop target\" is reached\n",
    "    else:\n",
    "        purpose = 1  # validation because polygons do not contain enough pixels (= strategy 3)\n",
    "\n",
    "    if purpose == 0:\n",
    "        cal_id_list.append(id)\n",
    "    else:\n",
    "        val_id_list.append(id)\n",
    "\n",
    "\n",
    "print(f'Number of polygons for training   : {len(cal_id_list)}')\n",
    "print(f'Number of polygons for validation : {len(val_id_list)}')\n",
    "\n",
    "cal_gdf = gdf[gdf['id'].isin(cal_id_list)]\n",
    "\n",
    "val_gdf = gdf[gdf['id'].isin(val_id_list)]\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Get summary of the CAL/VAL splitting**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>grp_1_nb</th>\n",
       "      <th>grp_1</th>\n",
       "      <th>CAL_pix</th>\n",
       "      <th>VAL_pix</th>\n",
       "      <th>CAL_poly</th>\n",
       "      <th>VAL_poly</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1111</td>\n",
       "      <td>Winter wheat</td>\n",
       "      <td>7403</td>\n",
       "      <td>22230</td>\n",
       "      <td>15</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>Grassland and meadows</td>\n",
       "      <td>5971</td>\n",
       "      <td>17918</td>\n",
       "      <td>60</td>\n",
       "      <td>161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1771</td>\n",
       "      <td>Peas</td>\n",
       "      <td>2454</td>\n",
       "      <td>1152</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>69</td>\n",
       "      <td>Forest</td>\n",
       "      <td>2296</td>\n",
       "      <td>813</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1121</td>\n",
       "      <td>Maize</td>\n",
       "      <td>2132</td>\n",
       "      <td>6535</td>\n",
       "      <td>10</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1923</td>\n",
       "      <td>Flax  hemp and other similar crops</td>\n",
       "      <td>2059</td>\n",
       "      <td>751</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1811</td>\n",
       "      <td>Sugar beet</td>\n",
       "      <td>1850</td>\n",
       "      <td>5550</td>\n",
       "      <td>4</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1152</td>\n",
       "      <td>Barley six-row</td>\n",
       "      <td>1663</td>\n",
       "      <td>4996</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1511</td>\n",
       "      <td>Potatoes</td>\n",
       "      <td>1577</td>\n",
       "      <td>4862</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>21</td>\n",
       "      <td>Fruits trees</td>\n",
       "      <td>1551</td>\n",
       "      <td>688</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1192</td>\n",
       "      <td>Other cereals</td>\n",
       "      <td>1477</td>\n",
       "      <td>4640</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>81</td>\n",
       "      <td>Urban</td>\n",
       "      <td>1338</td>\n",
       "      <td>457</td>\n",
       "      <td>27</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1435</td>\n",
       "      <td>Rapeseed</td>\n",
       "      <td>1176</td>\n",
       "      <td>650</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>121</td>\n",
       "      <td>Leafy or stem vegetables</td>\n",
       "      <td>566</td>\n",
       "      <td>785</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1171</td>\n",
       "      <td>Oats</td>\n",
       "      <td>534</td>\n",
       "      <td>242</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1911</td>\n",
       "      <td>Alfalfa</td>\n",
       "      <td>403</td>\n",
       "      <td>151</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>84</td>\n",
       "      <td>Greenhouses</td>\n",
       "      <td>183</td>\n",
       "      <td>69</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>9212</td>\n",
       "      <td>Permanent rivers and streams</td>\n",
       "      <td>152</td>\n",
       "      <td>56</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>22</td>\n",
       "      <td>Vineyards</td>\n",
       "      <td>124</td>\n",
       "      <td>54</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    grp_1_nb                               grp_1  CAL_pix  VAL_pix  CAL_poly  \\\n",
       "0       1111                        Winter wheat     7403    22230        15   \n",
       "1          3               Grassland and meadows     5971    17918        60   \n",
       "2       1771                                Peas     2454     1152         8   \n",
       "3         69                              Forest     2296      813        28   \n",
       "4       1121                               Maize     2132     6535        10   \n",
       "5       1923  Flax  hemp and other similar crops     2059      751         5   \n",
       "6       1811                          Sugar beet     1850     5550         4   \n",
       "7       1152                      Barley six-row     1663     4996         8   \n",
       "8       1511                            Potatoes     1577     4862         4   \n",
       "9         21                        Fruits trees     1551      688         6   \n",
       "10      1192                       Other cereals     1477     4640         7   \n",
       "11        81                               Urban     1338      457        27   \n",
       "12      1435                            Rapeseed     1176      650         4   \n",
       "13       121            Leafy or stem vegetables      566      785         2   \n",
       "14      1171                                Oats      534      242         5   \n",
       "15      1911                             Alfalfa      403      151         4   \n",
       "16        84                         Greenhouses      183       69         3   \n",
       "17      9212        Permanent rivers and streams      152       56         3   \n",
       "18        22                           Vineyards      124       54         2   \n",
       "\n",
       "    VAL_poly  \n",
       "0         59  \n",
       "1        161  \n",
       "2          2  \n",
       "3          7  \n",
       "4         26  \n",
       "5          3  \n",
       "6         17  \n",
       "7         12  \n",
       "8         10  \n",
       "9          1  \n",
       "10        10  \n",
       "11         9  \n",
       "12         2  \n",
       "13         2  \n",
       "14         3  \n",
       "15         3  \n",
       "16         2  \n",
       "17         1  \n",
       "18         2  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Get number of pixels per class\n",
    "\n",
    "pix_per_class_cal_df = cal_gdf.groupby([field_classif_code, field_classif_name])['pix_count'].agg('sum').to_frame().reset_index()\n",
    "pix_per_class_cal_df = pix_per_class_cal_df.sort_values(by='pix_count', ascending=False)\n",
    "pix_per_class_cal_df = pix_per_class_cal_df.rename(columns={\"pix_count\": \"CAL_pix\"})\n",
    "\n",
    "pix_per_class_val_df = val_gdf.groupby([field_classif_code, field_classif_name])['pix_count'].agg('sum').to_frame().reset_index()\n",
    "pix_per_class_val_df = pix_per_class_val_df.sort_values(by='pix_count', ascending=False)\n",
    "pix_per_class_val_df = pix_per_class_val_df.rename(columns={\"pix_count\": \"VAL_pix\"})\n",
    "\n",
    "# Get number of polygons per class\n",
    "\n",
    "poly_per_class_cal_df = cal_gdf.groupby([field_classif_code, field_classif_name])[field_classif_code].agg('count').reset_index(name='poly_count')\n",
    "poly_per_class_cal_df = poly_per_class_cal_df.sort_values(by='poly_count', ascending=False)\n",
    "poly_per_class_cal_df = poly_per_class_cal_df.rename(columns={\"poly_count\": \"CAL_poly\"})\n",
    "\n",
    "poly_per_class_val_df = val_gdf.groupby([field_classif_code, field_classif_name])[field_classif_code].agg('count').reset_index(name='poly_count')\n",
    "poly_per_class_val_df = poly_per_class_val_df.sort_values(by='poly_count', ascending=False)\n",
    "poly_per_class_val_df = poly_per_class_val_df.rename(columns={\"poly_count\": \"VAL_poly\"})\n",
    "\n",
    "\n",
    "# Merge 2 previous dataframe in a single one\n",
    "#pix_poly_per_class_df = pix_per_class_cal_df.merge(poly_per_class_df, on=[field_classif_code, field_classif_name], how=\"outer\")\n",
    "\n",
    "\n",
    "# Merge 4 previous dataframe in a single one\n",
    "summary_df = pix_per_class_cal_df.merge(pix_per_class_val_df,on=[field_classif_code, field_classif_name]).merge(poly_per_class_cal_df,on=[field_classif_code, field_classif_name]).merge(poly_per_class_val_df,on=[field_classif_code, field_classif_name])\n",
    "\n",
    "display(summary_df)\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Plot calibration and validation *in situ* data**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(15,15))\n",
    "\n",
    "cal_gdf.plot(ax=ax,\n",
    "            color='red')\n",
    "\n",
    "val_gdf.plot(ax=ax,\n",
    "            color='green')\n",
    "\n",
    "ax.set_title(f'In situ with {site} {year}',fontsize=20)\n",
    "\n",
    "cal_patch = mpatches.Patch(color='red', label='Training')\n",
    "val_patch = mpatches.Patch(color='green', label='Validation')\n",
    "\n",
    "\n",
    "plt.legend(handles=[cal_patch, val_patch])\n",
    "\n",
    "plt.box(False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Write geodataframe into a shapefile**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Two shapefiles have been created :\n",
      " /export/miro/ndeffense/LBRAT2104/STUDENTS/GROUP_99/TP/C_IN_SITU_CAL_VAL/NAMUR_2020_IN_SITU_ROI_CAL.shp \n",
      " /export/miro/ndeffense/LBRAT2104/STUDENTS/GROUP_99/TP/C_IN_SITU_CAL_VAL/NAMUR_2020_IN_SITU_ROI_VAL.shp\n"
     ]
    }
   ],
   "source": [
    "cal_gdf.to_file(in_situ_cal_shp)\n",
    "val_gdf.to_file(in_situ_val_shp)\n",
    "\n",
    "print(f'Two shapefiles have been created :\\n {in_situ_cal_shp} \\n {in_situ_val_shp}')"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
  },
  "kernelspec": {
   "display_name": "Python 3.8.2 64-bit",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}