本文记录在Google Earth Engine(GEE)平台上通过NPP和GPP数据来计算生物量。
数据集合:
NPP【MODIS/006/MOD17A3H】
GPP【MODIS/006/MYD17A2H】
一、结果展示:
以三峡库区为例,计算其生物量,并打印均值折线图。
打印生物量均值折线图
二、代码实现
//加载矢量,然后直接运行
var roi = table.geometry();
// 设置地图中心和加载矢量
Map.centerObject(roi, 5);
//Map.addLayer(roi,false,"roi");
var nppDataset = ee.ImageCollection("MODIS/006/MOD17A3H")
var gppDataset = ee.ImageCollection("MODIS/006/MYD17A2H")
// 时间定义
var startdate = ee.Date.fromYMD(2006,1,1);
var enddate = ee.Date.fromYMD(2012,12,31);
// 按时间筛选npp和gpp
var nppCollection = nppDataset.filterDate(startdate, enddate)
.select("Npp");
var gppCollection = gppDataset.filterDate(startdate, enddate)
.select("Gpp");
// 计算npp
var myNpp = function(myimg){
var d = ee.Date(myimg.get('system:time_start'))
var y = d.get('year').toInt();
// 分别计算GPP和NPP,对影像进行筛选
var GPPy = ee.Image(gppCollection.filter(ee.Filter.calendarRange(y, y, 'year')).sum());
var NPPy = ee.Image(nppCollection.filter(ee.Filter.calendarRange(y, y, 'year')).mean());
var npp8 = myimg.expression('(GGP8 / GPPy) * NPPy',
{
GGP8: myimg,
GPPy: GPPy,
NPPy: NPPy
});
var out = npp8.copyProperties(myimg,['system:time_start']);
return out;
}
var npp8Collection = ee.ImageCollection(gppCollection.map(myNpp));
// 计算生物量
var Biomass = function(myimg){
var biomass = myimg.multiply(2.5);
return biomass.copyProperties(myimg,['system:time_start']);
}
// 遍历影像
var biomassCollection = npp8Collection.map(Biomass);
// 可视化参数
var biomass_viz = {min:100.0, max:800, palette: 'FFFFFF, CE7E45, DF923D, F1B555, FCD163, 99B718, 74A901, 66A000, 529400,' +
'3E8601, 207401, 056201, 004C00, 023B01, 012E01, 011D01, 011301'};
// 加载影像
Map.addLayer(biomassCollection.mean().clip(roi),biomass_viz,"npp_redsoil_region")
// 定义山西chart的属性
var title = {
title: 'Biomass production in redsoil region',
hAxis: {title: 'Time'},
vAxis: {title: 'Biomass (kg/m2)'},
};
print(biomassCollection)
// 创建chart
var biomassChart = ui.Chart.image.seriesByRegion(biomassCollection,
roi,
ee.Reducer.mean(),
'Gpp',
100000,
'system:time_start').setOptions(title);
//打印到生物量图
print(biomassChart)
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