Google Earth Engine ——数据全解析专辑（Copernicus Global Land Cover Layers: CGLS-LC100 Collec）2015 年全球土地分类数据集

Copernicus Global Land Cover Layers: CGLS-LC100 Collection 2

The Copernicus Global Land Service (CGLS) is earmarked as a component of the Land service to operate a multi-purpose service component that provides a series of bio-geophysical products on the status and evolution of land surface at global scale.

The Dynamic Land Cover map at 100 m resolution (CGLS-LC100) is a new product in the portfolio of the CGLS and delivers a global land cover map at 100 m spatial resolution. The CGLS Land Cover product provides a primary land cover scheme. Next to these discrete classes, the product also includes continuous field layers for all basic land cover classes that provide proportional estimates for

vegetation/ground cover for the land cover types. This continuous classification scheme may depict areas of heterogeneous land cover better than the standard classification scheme and, as such, can be tailored for application use (e.g. forest monitoring, crop monitoring, biodiversity and conservation, monitoring environment and security in Africa, climate modelling, etc.).

This Land Cover map is provided for the 2015 reference year over the entire Globe, derived from the PROBA-V 100 m time-series, a database of high quality land cover training sites and several ancillary datasets, reaching an accuracy of 80 % at Level1

哥白尼全球陆地服务 (CGLS) 被指定为陆地服务的一个组成部分，以运营一个多功能服务组件，提供一系列关于全球范围地表状况和演变的生物地球物理产品。

100 m 分辨率的动态土地覆盖图 (CGLS-LC100) 是 CGLS 产品组合中的新产品，可提供 100 m 空间分辨率的全球土地覆盖图。 CGLS Land Cover 产品提供了主要的土地覆盖方案。除了这些离散类别之外，该产品还包括所有基本土地覆盖类别的连续字段图层，为土地覆盖类型的植被/地面覆盖提供比例估计。这种连续分类方案可能比标准分类方案更好地描述异质土地覆盖区域，因此，可以针对应用用途（例如森林监测、作物监测、生物多样性和保护、非洲环境和安全监测、气候建模、等等。）。

该土地覆盖图是为 2015 年全球参考年提供的，源自 PROBA-V 100 m 时间序列、高质量土地覆盖训练站点的数据库和几个辅助数据集，在 Level1 上达到 80% 的准确率

Dataset Availability

2015-01-01T00:00:00 - 2015-01-01T00:00:00

Dataset Provider

Copernicus

Collection Snippet

ee.ImageCollection("COPERNICUS/Landcover/100m/Proba-V/Global")

Resolution

100 meters

Bands Table

Class Table: discrete_classification

Class Table: forest_type

影像信息：

代码：

var dataset = ee.ImageCollection("COPERNICUS/Landcover/100m/Proba-V/Global");
var visualization = {
  bands: ['discrete_classification']
};
Map.setCenter(-88.6, 26.4, 1);
Map.addLayer(dataset, visualization, "Land Cover");

影像：