diff --git a/reports/agriculture/report.ipynb b/reports/agriculture/report.ipynb
index eeb0ac1..3f888ef 100644
--- a/reports/agriculture/report.ipynb
+++ b/reports/agriculture/report.ipynb
@@ -72,7 +72,210 @@
"hide-input"
]
},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "C:\\Users\\WB514197\\AppData\\Local\\Temp\\ipykernel_15444\\3742192984.py:20: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n",
+ "\n",
+ " centx, centy = one.centroid.x.iloc[0], one.centroid.y.iloc[0]\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 2,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"from geemap.foliumap import Map\n",
"import requests\n",
@@ -149,7 +352,137 @@
"hide-input"
]
},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ " \n",
+ " "
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Region | \n",
+ " Crop Area ha. | \n",
+ " Crop Area Share | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 0 | \n",
+ " Maradi | \n",
+ " 2,519,230 | \n",
+ " 61.74% | \n",
+ "
\n",
+ " \n",
+ " 1 | \n",
+ " Zinder | \n",
+ " 2,190,192 | \n",
+ " 14.35% | \n",
+ "
\n",
+ " \n",
+ " 2 | \n",
+ " Dosso | \n",
+ " 1,236,565 | \n",
+ " 38.27% | \n",
+ "
\n",
+ " \n",
+ " 3 | \n",
+ " Tillabéri | \n",
+ " 1,087,188 | \n",
+ " 11.68% | \n",
+ "
\n",
+ " \n",
+ " 4 | \n",
+ " Tahoua | \n",
+ " 956,003 | \n",
+ " 8.54% | \n",
+ "
\n",
+ " \n",
+ " 5 | \n",
+ " Diffa | \n",
+ " 122,461 | \n",
+ " 0.79% | \n",
+ "
\n",
+ " \n",
+ " 6 | \n",
+ " Agadez | \n",
+ " 55,050 | \n",
+ " 0.08% | \n",
+ "
\n",
+ " \n",
+ " 7 | \n",
+ " Niamey | \n",
+ " 4,843 | \n",
+ " 8.71% | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Region Crop Area ha. Crop Area Share\n",
+ "0 Maradi 2,519,230 61.74%\n",
+ "1 Zinder 2,190,192 14.35%\n",
+ "2 Dosso 1,236,565 38.27%\n",
+ "3 Tillabéri 1,087,188 11.68%\n",
+ "4 Tahoua 956,003 8.54%\n",
+ "5 Diffa 122,461 0.79%\n",
+ "6 Agadez 55,050 0.08%\n",
+ "7 Niamey 4,843 8.71%"
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"import pandas as pd\n",
"import json\n",
@@ -205,7 +538,276 @@
"hide-input"
]
},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ " \n",
+ " "
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"# MODIS\n",
"start_period = ee.Date('2001-01-01')\n",
@@ -353,7 +955,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 5,
"metadata": {
"tags": [
"remove-cell"