个人经验:利用该点处的Sentinel2时间序列的变化曲线与已知的地物类型的植被指数时间序列变化曲线进行比较,从而确定地物类型。时间序列变化曲线可以通过GEE来实现。
var AOI = ee.FeatureCollection("users/2022110650/shouxian_border"),
Point_1 = ee.Geometry.Point([116.651408770079, 32.2204138037761]);
Map.addLayer(Point_1);
Map.centerObject(Point_1);
var startDate = ee.Date.fromYMD(2022,1,1);
var endDate = ee.Date.fromYMD(2023,12,31);
var months = ee.List.sequence(1,12)
var years = ee.List.sequence(2022, 2023);
//Sentinel 2 < 15% clouds -----------------------------------------
var S2_nocloud = ee.ImageCollection("COPERNICUS/S2")
.filterDate(startDate,endDate)
.filterBounds(AOI)
.filterMetadata('CLOUDY_PIXEL_PERCENTAGE', 'less_than', 15)
var S2_NDVI_nocloud = S2_nocloud.map(function(image){
return image.normalizedDifference(['B8', 'B4']).rename('NDVI').copyProperties(image, ['system:time_start']);
})
//Chart
var titleS2_nocloud = {
title: 'S2 NDVI < 15% cloud',
hAxis: {title: 'Time'},
vAxis: {title: 'NDVI'},
};
var S2_chart_nocloud = ui.Chart.image.seriesByRegion({
imageCollection: S2_NDVI_nocloud,
regions: Point_1,
reducer: ee.Reducer.mean(),
band: 'NDVI',
scale: 20,
seriesProperty: 'NDVI'
}).setOptions(titleS2_nocloud)
print(S2_chart_nocloud);