Copernicus Global Land Cover Layers: CGLS-LC100 Collection 3
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.).
These consistent Land Cover maps (v3.0.1) are provided for the period 2015-2019 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 over al years. It is planned to provide yearly updates from 2020 through the use of a Sentinel time-series.
See also:
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。）。
这些一致的土地覆盖图 (v3.0.1) 是针对 2015-2019 年在整个全球范围内提供的，源自 PROBA-V 100 m 时间序列、高质量土地覆盖培训地点的数据库和几个辅助数据集，达到多年来，Level1 的准确率达到 80%。计划通过使用 Sentinel 时间序列从 2020 年开始提供年度更新。
也可以看看：
算法理论基础文档
产品使用手册
验证报告
Dataset Availability
2015-01-01T00:00:00 - 2019-12-31T00:00:00
Dataset Provider
Collection Snippet
ee.ImageCollection("COPERNICUS/Landcover/100m/Proba-V-C3/Global")
Resolution
100 meters
Bands Table
| Name | Description | Min | Max | Units |
| discrete_classification | Land cover classification | 0 | 200 | |
| discrete_classification-proba | Quality indicator (classification probability) of the discrete classification | 0 | 100 | % |
| forest_type | Forest type for all pixels with tree percentage vegetation cover bigger than 1 % | 0 | 5 | |
| bare-coverfraction | Percent vegetation cover for bare-sparse-vegetation land cover class | 0 | 100 | % |
| crops-coverfraction | Percent vegetation cover for cropland land cover class | 0 | 100 | % |
| grass-coverfraction | Percent vegetation cover for herbaceous vegetation land cover class | 0 | 100 | % |
| moss-coverfraction | Percent vegetation cover for moss and lichen land cover class | 0 | 100 | % |
| shrub-coverfraction | Percent vegetation cover for shrubland land cover class | 0 | 100 | % |
| tree-coverfraction | Percent vegetation cover for forest land cover class | 0 | 100 | % |
| snow-coverfraction | Percent ground cover for snow and ice land cover class | 0 | 100 | % |
| urban-coverfraction | Percent ground cover for built-up land cover class | 0 | 100 | % |
| water-permanent-coverfraction | Percent ground cover for permanent water land cover class | 0 | 100 | % |
| water-seasonal-coverfraction | Percent ground cover for seasonal water land cover class | 0 | 100 | % |
| data-density-indicator | Data density indicator for algorithm input data | 0 | 100 | |
| change-confidence | This layer is only provided for years after the BaseYear 2015. * 0 - No change. No change in discrete class between year and previous year detected. * 1 - Potential change. BFASTmon detected break in second half of NRT year - potential change. * 2 - Medium confidence. Imprint of urban, permanent water, snow or wetland OR change detected by BFAST but HMM model didn’t confirm this break in higher resolution OR change detected by BFASTmon in the first half of NRT year. * 3 - High confidence. BFAST detected a change and HMM confirmed this change in higher resolution. | 0 | 3 |
Class Table: discrete_classification
| Value | Color | Color Value | Description |
| 0 | #282828 | Unknown. No or not enough satellite data available. | |
| 20 | #FFBB22 | Shrubs. Woody perennial plants with persistent and woody stems and without any defined main stem being less than 5 m tall. The shrub foliage can be either evergreen or deciduous. | |
| 30 | #FFFF4C | Herbaceous vegetation. Plants without persistent stem or shoots above ground and lacking definite firm structure. Tree and shrub cover is less than 10 %. | |
| 40 | #F096FF | Cultivated and managed vegetation / agriculture. Lands covered with temporary crops followed by harvest and a bare soil period (e.g., single and multiple cropping systems). Note that perennial woody crops will be classified as the appropriate forest or shrub land cover type. | |
| 50 | #FA0000 | Urban / built up. Land covered by buildings and other man-made structures. | |
| 60 | #B4B4B4 | Bare / sparse vegetation. Lands with exposed soil, sand, or rocks and never has more than 10 % vegetated cover during any time of the year. | |
| 70 | #F0F0F0 | Snow and ice. Lands under snow or ice cover throughout the year. | |
| 80 | #0032C8 | Permanent water bodies. Lakes, reservoirs, and rivers. Can be either fresh or salt-water bodies. | |
| 90 | #0096A0 | Herbaceous wetland. Lands with a permanent mixture of water and herbaceous or woody vegetation. The vegetation can be present in either salt, brackish, or fresh water. | |
| 100 | #FAE6A0 | Moss and lichen. | |
| 111 | #58481F | Closed forest, evergreen needle leaf. Tree canopy >70 %, almost all needle leaf trees remain green all year. Canopy is never without green foliage. | |
| 112 | #009900 | Closed forest, evergreen broad leaf. Tree canopy >70 %, almost all broadleaf trees remain green year round. Canopy is never without green foliage. | |
| 113 | #70663E | Closed forest, deciduous needle leaf. Tree canopy >70 %, consists of seasonal needle leaf tree communities with an annual cycle of leaf-on and leaf-off periods. | |
| 114 | #00CC00 | Closed forest, deciduous broad leaf. Tree canopy >70 %, consists of seasonal broadleaf tree communities with an annual cycle of leaf-on and leaf-off periods. | |
| 115 | #4E751F | Closed forest, mixed. | |
| 116 | #007800 | Closed forest, not matching any of the other definitions. | |
| 121 | #666000 | Open forest, evergreen needle leaf. Top layer- trees 15-70 % and second layer- mixed of shrubs and grassland, almost all needle leaf trees remain green all year. Canopy is never without green foliage. | |
| 122 | #8DB400 | Open forest, evergreen broad leaf. Top layer- trees 15-70 % and second layer- mixed of shrubs and grassland, almost all broadleaf trees remain green year round. Canopy is never without green foliage. | |
| 123 | #8D7400 | Open forest, deciduous needle leaf. Top layer- trees 15-70 % and second layer- mixed of shrubs and grassland, consists of seasonal needle leaf tree communities with an annual cycle of leaf-on and leaf-off periods. | |
| 124 | #A0DC00 | Open forest, deciduous broad leaf. Top layer- trees 15-70 % and second layer- mixed of shrubs and grassland, consists of seasonal broadleaf tree communities with an annual cycle of leaf-on and leaf-off periods. | |
| 125 | #929900 | Open forest, mixed. | |
| 126 | #648C00 | Open forest, not matching any of the other definitions. | |
| 200 | #000080 | Oceans, seas. Can be either fresh or salt-water bodies. |
Class Table: forest_type
| Value | Color | Color Value | Description |
| 0 | #282828 | Unknown | |
| 1 | #666000 | Evergreen needle leaf | |
| 2 | #009900 | Evergreen broad leaf | |
| 3 | #70663E | Deciduous needle leaf | |
| 4 | #A0DC00 | Deciduous broad leaf | |
| 5 | #929900 | Mix of forest types |
影像属性：
| Name | Type | Description |
| discrete_classification_class_names | List of Strings | Land cover class names |
| discrete_classification_class_palette | List of Strings | Land cover class palette |
| discrete_classification_class_values | List of Ints | Value of the land cover classification. |
| forest_type_class_names | List of Strings | forest cover class names |
| forest_type_class_palette | List of Strings | forest cover class palette |
| forest_type_class_values | List of Ints | forest cover class values |
文献引用：
Buchhorn, M. ; Lesiv, M. ; Tsendbazar, N. - E. ; Herold, M. ; Bertels, L. ; Smets, B. Copernicus Global Land Cover Layers—Collection 2. Remote Sensing 2020, 12Volume 108, 1044. doi:10.3390/rs12061044
代码：
var dataset = ee.Image("COPERNICUS/Landcover/100m/Proba-V-C3/Global/2019") .select('discrete_classification'); Map.setCenter(-88.6, 26.4, 1); Map.addLayer(dataset, {}, "Land Cover");
影像：
