清华大学地球系统科学系宫鹏等基于研究组2011年以来在全球30米地表覆盖制图中获得的经验和在样本库建设方面的积累,结合10米分辨率Sentinel-2全球影像的完整存储和免费获取,开发出了世界首套30米分辨率的全球地表覆盖产品—FROM-GLC30(清华大学全球首套30米分辨率地表覆盖图称为Finer Resolution Observation and Monitoring of Global Land Cover(FROM-GLC))。
全球30米地表覆盖(FROM-GLC30 2015)产品是基于2017年在《科学通报》发表的全球首套多季节样本库(涵盖从2014年和2015年的Landsat8影像,由专家解译得到的均匀覆盖全球的多季节样本),将该样本库中样本应用于2017年获取的Sentinel-2影像,采用随机森林分类器得到全球30米地表覆盖图。
数据集ID:
THU/FROM_GLC30_2015
时间范围: 2015年-2015年
范围: 全球
复制代码段:
var images = pie.ImageCollection("THU/FROM_GLC30_2015")
分类名称
Level-1 | Level-2 | ||||||||||||
name | code | name | code | name | code | name | code | name | code | name | code | name | code |
Cropland | 10 | Rice paddy | 11 | Greenhouse | 12 | Other | 13 | Orchard | 14 | Bare farmland | 15 | - | - |
Forest | 20 | Broadleaf, leaf-on | 21 | Broadleaf, leaf-off | 22 | Needleleaf, leaf-on | 23 | Needleleaf, leaf-off | 24 | Mixed leaf, leaf-on | 25 | Mixed leaf, leaf-off | 26 |
Grassland | 30 | Pasture | 31 | Natural grassland | 32 | Grassland, leaf-off | 33 | - | - | - | - | - | - |
Shrubland | 40 | Shrubland, leaf-on | 41 | Shrubland, leaf-off | 42 | - | - | - | - | - | - | - | - |
Wetland | 50 | Marshland | 51 | Mudflat | 52 | Marshland, leaf-off | 53 | - | - | - | - | - | - |
Water | 60 | - | 60 | - | - | - | - | - | - | - | - | - | - |
Tundra | 70 | Shrub and brush tundra | 71 | Herbaceous tundra | 72 | - | - | - | - | - | - | - | - |
Impervious surface | 80 | - | 80 | - | - | - | - | - | - | - | - | - | - |
Bareland | 90 | - | 90/92 | - | - | - | - | - | - | - | - | - | - |
Snow/Ice | 100 | Snow | 101 | Ice | 102 | - | - | - | - | - | - | - | - |
Cloud | 120 | - | 120 | - | - | - | - | - | - | - | - | - | - |
波段
名称 | 类型 | 值域范围 | 描述信息 |
classification | byte | 10-100 | 地物分类代码详见描述信息列表 |
属性
date | string | 影像日期 |
代码:
/**
* @File : FROM_GLC30
* @Time : 2020/12/30
* @Author : piesat
* @Version : 1.0
* @Contact : 400-890-0662
* @License : (C)Copyright 航天宏图信息技术股份有限公司
* @Desc : 加载全球30米地表覆盖数据集
*/
//加载中国边界
var china = pie.FeatureCollection("RESDC/WORLD_COUNTRY_BOUNDARY")
.filter(pie.Filter.eq("name", "CHINA"))
.first()
.geometry();
//加载中国30米地表覆盖数据
var img = pie.ImageCollection('THU/FROM_GLC30_2015')
.filterBounds(china)
.select("B1")
.mosaic()
.clip(china);
print(img);
//设定预览参数
visParams = {
uniqueValue: ['10', '11', '12', '13', '14', '15', '20', '21', '22', '23', '24', '25',
'26', '30', '31', '32', '33', '40', '41', '42', '50', '51', '52', '53',
'60', '70', '71', '72', '80', '90', '100', '101', '102', '120'],
palette: ['FFC712', 'FDF367', 'E8FBBC', 'E4D6EA', 'FFAEA7', 'ECD3BF', '036E51',
'75BC7D', 'B9D3AD', 'B20D9C', 'C67DBC', '9E95CC', '7F77A7', '90FF01',
'BEB57C', 'A9F9D0', 'E3FF85', '4EA542', '227F00', 'A3D500', '2DE9CC',
'4E6600', 'BDB53A', 'A2AD85', '0034F3', 'DFD19F', '6D4505', '657055',
'707070', 'C66E15', '00FFFD', 'D9FFFA', 'AAF9FF', 'FFFFFF']
};
//加载显示影像
Map.centerObject(china, 2);
Map.addLayer(img, visParams, "30米分辨率地表覆盖");
// 图例
var data = {
title: "地表覆盖",
colors: ['#75BC7D', '#B9D3AD', '#B20D9C', '#C67DBC', '#9E95CC', '#7F77A7', '#90FF01',
'#BEB57C', '#A9F9D0', '#E3FF85', '#4EA542', '#227F00', '#A3D500', '#2DE9CC',
'#4E6600', '#BDB53A', '#A2AD85', '#0034F3', '#DFD19F', '#6D4505', '#657055',
'#707070', '#C66E15', '#00FFFD', '#D9FFFA', '#AAF9FF', '#FFFFFF'],
labels: ["农田", "稻田", "温室", "其他", "果园", "裸地农田", "森林", "有叶阔叶树", "无叶阔叶树",
"有叶针叶树", "无叶针叶树", "有叶混合叶", "无叶混合叶", "草地", "牧场", "天然草原",
"无草草地", "灌木", "有叶灌木", "无叶灌木", "湿地", "沼泽", "泥滩", "无叶沼泽", "水",
"冻土", "灌木和灌木苔原", "草本苔原", "不透水面","裸地","冰雪","雪","冰","云"],
step: 1
};
var style = {
left: "20%",
top: "60%",
height: "130px",
width: "1200px"
};
var legend = ui.Legend(data, style);
Map.addUI(legend);
标签:leaf,覆盖,30,GLC30,2015,地表
From: https://blog.51cto.com/u_15654855/7721258