{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "e9cedd8043c54aceb1d5e8d381b4bcd0", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Map(center=[23.916287330629192, -102.18542161782723], controls=(WidgetControl(options=['position', 'transparen…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import ee\n", "ee.Initialize()\n", "import geemap\n", "\n", "# Carga de Terra Climate y declaracion de parámetros\n", "img_coll = ee.ImageCollection(\"IDAHO_EPSCOR/TERRACLIMATE\")\n", "scale_img_coll = 4638.3\n", "img_coll_start_year = 1958 # Empezando en Enero\n", "img_coll_end_year = 2022 # Terminando en Diciembre\n", "\n", "# Geometria de México\n", "fc_polygons_countries = ee.FeatureCollection(\"USDOS/LSIB/2017\")\n", "geom_mexico = fc_polygons_countries.filter(ee.Filter.eq(\"COUNTRY_NA\",\"Mexico\")).first().geometry()\n", "\n", "# Banda de interés\n", "banda_interes = \"pdsi\"\n", "\n", "# Escalar a unidades \"reales\"\n", "def scalling_funcion_pdsi(img):\n", " return img.multiply(0.01).copyProperties(img, img.propertyNames())\n", "\n", "# Dar como propiedad a la imagen: date_month y date_year\n", "def create_month_year(img):\n", " full_date = ee.Date(ee.Number(img.get(\"system:time_start\")))\n", " date_year = ee.Number(full_date.get(\"year\"))\n", " date_month = ee.Number(full_date.get(\"month\"))\n", " return img.set({\"date_month\": date_month, \"date_year\": date_year})\n", "\n", "\n", "# Cargar datos, seleccionar banda, escalarlos y limitarlos a la mexico\n", "img_coll_pdsi = img_coll.select(banda_interes).filterBounds(geom_mexico).map(scalling_funcion_pdsi)\n", "\n", "# Etiquetar date_month y date_year como prop de la imagen\n", "img_coll_pdsi_tag_month_year = img_coll_pdsi.map(create_month_year)#.map(lambda img: img.clip(geom_mexico))\n", "\n", "labels_dates = list()\n", "for year in range(1958,2023):\n", " for month in list(map(lambda x: '0'+str(x) if x <= 9 else str(x), range(1,13))):\n", " date_year_month_str = str(year) + \"-\" + month + \"-01\"\n", " labels_dates.append(date_year_month_str)\n", "\n", "mapVisParamsPDSI = dict(min = -5, max = 5, palette = [\"FB322C\", \"FFFFFF\", \"039DAB\"])\n", "\n", "Mapa = geemap.Map(center=(22, -100), zoom=4, height='800px', basemap = \"CartoDB.DarkMatter\")\n", "Mapa.center_object(geom_mexico, 5)\n", "Mapa.add_time_slider(img_coll_pdsi_tag_month_year, mapVisParamsPDSI,\n", " layer_name = \"Índice de Severidad de Sequía de Palmer\",\n", " labels = labels_dates,\n", " position='bottomleft',\n", " slider_length = \"300px\",\n", " time_interval=1)\n", "Mapa\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.8.15" } }, "nbformat": 4, "nbformat_minor": 4 }