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社区首页 >专栏 >Google Earth Engine(GEE)——2015-2019年100米分辨率的动态土地覆盖数据集(CGLS-LC100)

Google Earth Engine(GEE)——2015-2019年100米分辨率的动态土地覆盖数据集(CGLS-LC100)

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发布2024-02-02 13:04:30
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发布2024-02-02 13:04:30
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哥白尼全球土地服务(CGLS)被指定为土地服务的一个组成部分,以运营一个多用途的服务组件,提供一系列关于全球范围内土地表面的状况和演变的生物地球物理产品。

100米分辨率的动态土地覆盖图(CGLS-LC100)是CGLS组合中的一个新产品,提供100米空间分辨率的全球土地覆盖图。CGLS土地覆盖产品提供了一个主要的土地覆盖方案。除了这些离散的类别,该产品还包括所有基本土地覆盖类别的连续实地层,为土地覆盖类型的植被/地面覆盖提供比例估计。这种连续的分类方案可以比标准分类方案更好地描述异质土地覆盖的区域,因此,可以根据应用用途进行调整(例如,森林监测、作物监测、生物多样性和保护、监测非洲的环境和安全、气候建模等)。

这些一致的土地覆盖图(v3.0.1)是为2015-2019年整个地球提供的,来源于PROBA-V 100米时间序列、高质量的土地覆盖训练点数据库和一些辅助数据集,在过去的几年中,一级精度达到80%。计划从2020年开始,通过使用哨兵时间序列提供年度更新。

也见。

Dataset Availability

2015-01-01T00:00:00 - 2019-12-31T23:59:59

Dataset Provider

Copernicus

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

image 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

数据引用:

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:

代码语言:javascript
复制
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");
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