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Copy pathIndice_NDVI_Yariguies_Planet.js
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Indice_NDVI_Yariguies_Planet.js
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var geometry =
/* color: #d6bfbf */
/* shown: false */
ee.Geometry.Polygon(
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/*Para correr el cogigo se debe tener registrada una cuenta en la plataforma de acceso a las imagenes
de Planet en la siguiente direccion https://www.planet.com/nicfi/ y habilitar la opcion para acceder a la
base de la coleccion de imagenes de NICFI-Planet desde Google Earth Engine, registrando la cuenta de correo
de gmail que se tiene registrada para acceder a GEE*/
/*El siguiente script crea visualizaciones en video con los cambios en el terreno y en el indice NDVI que se presentan
en una coleccion de imagenes multiespectrales PLANET de 4,7 m de resolucion en un poligono creado por
geometria que es un area de cultivo en San Vicente de Chucuri Santander*/
/*Traer la coleccion de imagenes PLANET con un filtro de fechas del 2021-09-01 al 2023-10-30,
teniendo dos años del ciclo del año cacaotero para Colombia que inicia en el mes de octubre y
finaliza en el mes de septiembre. Se aplica un filtro con los parametros de
visualizacion en RGB y recortadas al area del poligono para cada una de las imagenes de la coleccion
al final se imprime la coleccion para saber cuantas imagnes tiene y se visualiza en el mapa*/
var nicfi = ee.ImageCollection('projects/planet-nicfi/assets/basemaps/americas');
var coleccion = nicfi.filter(ee.Filter.date('2020-09-01','2023-10-30'))
.map(function(i){return i.select(['R','G','B','N']).clip(geometry)})
print('coleccion de planet', coleccion)
var visparam = {bands:['R','G','B'], min: 334, max:975, gama: 0.7}
Map.addLayer(coleccion, visparam, "RGB_coleccion")
/*Se define la variable gif para generar el video de visualizacion de la coleccion de imagenes en RGB
y se imprime donde se crea un enlace del video con la coleccion*/
var gif = coleccion.getVideoThumbURL(visparam)
print('video coleccion cabuyaro', gif)
/*Se define la variable de parametros para la generacion del indice NDVI para cada imagen de la
coleccion y se crea la funcion de normalizacion diferenciada para el NDVI de cada imagen
recortada al area del poligono de la geometria dada, de igual forma se define una mascara para los
valores de NDVI superiores a 0.5*/
var parametrosndvi = {min:-0.5, max:0.9, palette: ['blue', 'black', 'white', 'yellow', 'green', 'red']}
var ndvi = coleccion.map(function (c){return c.normalizedDifference(['N','R']).clip(geometry)})
var vis = ndvi.map(function (f){return f.visualize(parametrosndvi)})
var mask = ndvi.map(function (c){return c.visualize(parametrosndvi).mask(c.gte(0.5))})
/*Se establece la variable de visualizacion por imagenes por segundo y se crea la visualizacion del
video en la consola con la funcion ui.Thumbnail para el NDVI como para la mascara y se imprime para
ver los videos en consola*/
var viscontrol = {framesPerSecond: 1}
var timeserie1 = ui.Thumbnail(vis, viscontrol)
var timeserie2 = ui.Thumbnail(mask, viscontrol)
print('ndvi', timeserie1)
print('maskndvi', timeserie2)
/*Se adiciona a la coleccion de imagenes las bandas NDVI y la mascara NDVI_1 recortadas a la geometria,
se definen los parametros de visualizacion y se visualizan en el mapa el NDVI y la mascara que se
genera de la coleccion de imagenes*/
var app = function (image){
var ndvi = image.normalizedDifference(["N", "R"])
image = image.addBands(ndvi.rename("NDVI"))
image = image.addBands(ndvi.rename("NDVI_1").mask(ndvi.gte(0.5)))
return image.clip(geometry)}
var coleccion1 = coleccion.map(app)
var visParams = {bands:["NDVI"], min: -0.5, max:0.9, palette: ["blue", "black", "white", "yellow", "green", "red"]}
Map.addLayer(coleccion1, visParams, "NDVI_coleccion")
var visParams1 = {bands:["NDVI_1"], min: -0.5, max:0.9, palette: ["blue", "black", "white", "yellow", "green", "red"]}
Map.addLayer(coleccion1, visParams1, "NDVI_mask_coleccion")
Map.centerObject(geometry,14)
/*Se imprime la coleccion con las bandas adicionadas de NDVI y NDVI_1 y se genera un video de
visualizacion de los cambios del NDVI y NDVI_1 en la coleccion de imagenes mediante un enlace*/
print('coleccion1', coleccion1)
var gif1 = coleccion1.getVideoThumbURL(visParams)
print('video coleccion ndvi cabuyaro', gif1)
var gif2 = coleccion1.getVideoThumbURL(visParams1)
print('video coleccion mascara del ndvi cabuyaro', gif2)
/*Se crea una etiqueta a partir de un punto que se defina mediante un click en el mapa
la cual va a presentar la grafica del indice NDVI para el sitio que se define en el click*/
var lon = ui.Label()
var lat = ui.Label()
Map.onClick(function(click){
lon.setValue('Longitud: '+ click.lon.toFixed(2))
lat.setValue('Latitud: '+ click.lat.toFixed(2))
var punto = ee.Geometry.Point(click.lon, click.lat)
var dibujo = ui.Map.Layer(punto)
Map.layers().set(1, ui.Map.Layer(punto, {color: 'white', pointSize: 15}))
Map.centerObject(punto, 15)
var graficoNDVI = ui.Chart.image
.series({
imageCollection: coleccion1.select('NDVI'),
region: punto,
reducer: ee.Reducer.mean(),
scale: 4.7,
xProperty: 'system:time_start'
})
.setSeriesNames(["NDVI"])
.setOptions({
title: 'Distribución de valores NDVI promedio',
vAxis: {title: 'Valores NDVI'},
hAxis: {title: 'Mes/Año'},
lineWidth: 2,
colors: ['red']
})
var panel = ui.Panel({widgets: graficoNDVI, layout: ui.Panel.Layout.Flow('vertical'),
style:{width: '500px', position: 'bottom-left'}
})
Map.widgets().set(2, panel)
})