今天来分享下如何利用GEE提取点的土壤湿度，首先介绍一个数据集NASA/GLDAS/V021/NOAH/G025/T3H，里面包含很多数据集，包括气象、土壤、气温等数据，
例如：
CanopInt_inst植物冠层地表水含量、
ECanop_tavg树冠水分蒸发
ESoil_tavg裸土蒸发量
Snowf_tavg雪速率
SoilMoi0_10cm_inst土壤湿度
SoilTMP0_10cm_inst土壤温度
Tair_f_inst气温
Wind_f_inst风速
GEE调用代码如下：
var roi = /* color: #d63000 */ee.Geometry.Point([121.3664979892787, 37.45796001127996]);// Create a chart for SoilMoi100_200cm_inst trend in point 1.Map.centerObject(roi,7)var dataset = ee.ImageCollection('NASA/GLDAS/V021/NOAH/G025/T3H').filterBounds(roi).filterDate('-01-01', '-12-31').select('SoilMoi100_200cm_inst');var radius_lst = ee.List([250, 500, 1000, 1500, 2000]);var colByRadius = ee.List(radius_lst).map(function (radius) {var months = ee.List.sequence(1, 12);var start_year = ;var start_date = '-01-01';var end_year = ;var end_date = '-12-31';var years = ee.List.sequence( start_year, end_year);var ptsbuff = ee.FeatureCollection(roi).map(function (radius, bounds) {return function(pt) {pt = ee.Feature(pt);return bounds ? pt.buffer(radius).bounds() : pt.buffer(radius);};}(radius, false));var byMonthYear = years.map(function (y) {return months.map(function(m) {var w = dataset.filter(ee.Filter.calendarRange(y, y, 'year')).filter(ee.Filter.calendarRange(m, m, 'month')).mean();var pointMean = w.reduceRegion({reducer:ee.Reducer.first(), geometry:ptsbuff, scale:500}); // set the dictionary as property and cast to an ee.Image, as setMulti returns an ee.Element.return ee.Feature(null).set("value",pointMean.get("SoilMoi100_200cm_inst")).set("year",y).set("month",m).set("radius", radius);});}).flatten();return byMonthYear;}).flatten();Export.table.toDrive({collection:ee.FeatureCollection(colByRadius), description:"csvExport"})
导出结果：
感谢关注，欢迎转发！
声明：仅供学习使用！
GEE demo：
https://code./699a662afe7028ac818e03c04b3a5753
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