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Upload gee_interactive_map.ipynb

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  1. notebooks/gee_interactive_map.ipynb +1 -27
notebooks/gee_interactive_map.ipynb CHANGED
@@ -1,13 +1,5 @@
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  {
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  "cells": [
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- {
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- "attachments": {},
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- "cell_type": "markdown",
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- "metadata": {},
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- "source": [
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- "# Cargar TerraClimate y geometria de México"
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- ]
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- },
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  {
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  "cell_type": "code",
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  "execution_count": 1,
@@ -63,23 +55,6 @@
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  "# Etiquetar date_month y date_year como prop de la imagen\n",
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  "img_coll_pdsi_tag_month_year = img_coll_pdsi.map(create_month_year)#.map(lambda img: img.clip(geom_mexico))\n",
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  "\n",
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- "\"\"\"\n",
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- "# Crear una ImageCollection con n Images de a 12 bandas cada una.\n",
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- "# n -> numero de años que tenga la ImageCollection\n",
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- "# 12 bandas -> 1 banda = 1 mes\n",
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- "list_new_collection_by_year = ee.List.sequence(img_coll_start_year, img_coll_end_year)\\\n",
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- " .map(\n",
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- " lambda element: img_coll_pdsi_tag_month_year\\\n",
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- " .filter(ee.Filter.eq(\"date_year\", element))\\\n",
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- " .toBands()\\\n",
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- " .set({\"date_year\": element})\\\n",
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- " .rename(list(map(lambda x: '0'+str(x) if x <=9 else str(x), range(1,13))))\n",
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- " )\n",
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- "\n",
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- "final_data_img_coll = ee.ImageCollection.fromImages(list_new_collection_by_year)\n",
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- "img_coll_2_geemap = final_data_img_coll.toBands()\"\"\"\n",
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- "\n",
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- "\n",
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  "labels_dates = list()\n",
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  "for year in range(1958,2023):\n",
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  " for month in list(map(lambda x: '0'+str(x) if x <= 9 else str(x), range(1,13))):\n",
@@ -88,8 +63,7 @@
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  "\n",
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  "mapVisParamsPDSI = dict(min = -5, max = 5, palette = [\"FB322C\", \"FFFFFF\", \"039DAB\"])\n",
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  "\n",
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- "\n",
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- "Mapa = geemap.Map(basemap = \"CartoDB.DarkMatter\")\n",
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  "Mapa.center_object(geom_mexico, 5)\n",
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  "Mapa.add_time_slider(img_coll_pdsi_tag_month_year, mapVisParamsPDSI,\n",
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  " layer_name = \"Índice de Severidad de Sequía de Palmer\",\n",
 
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  {
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  "cells": [
 
 
 
 
 
 
 
 
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  {
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  "cell_type": "code",
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  "execution_count": 1,
 
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  "# Etiquetar date_month y date_year como prop de la imagen\n",
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  "img_coll_pdsi_tag_month_year = img_coll_pdsi.map(create_month_year)#.map(lambda img: img.clip(geom_mexico))\n",
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  "\n",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "labels_dates = list()\n",
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  "for year in range(1958,2023):\n",
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  " for month in list(map(lambda x: '0'+str(x) if x <= 9 else str(x), range(1,13))):\n",
 
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  "\n",
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  "mapVisParamsPDSI = dict(min = -5, max = 5, palette = [\"FB322C\", \"FFFFFF\", \"039DAB\"])\n",
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  "\n",
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+ "Mapa = geemap.Map(center=(22, -100), zoom=4, height='800px', basemap = \"CartoDB.DarkMatter\")\n",
 
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  "Mapa.center_object(geom_mexico, 5)\n",
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  "Mapa.add_time_slider(img_coll_pdsi_tag_month_year, mapVisParamsPDSI,\n",
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  " layer_name = \"Índice de Severidad de Sequía de Palmer\",\n",