Google Earth Engine ——数据全解析专辑（COPERNICUS/CORINE/V20/100m）欧洲土地利用数据集1986-2018
Google Earth Engine ——数据全解析专辑（COPERNICUS/CORINE/V20/100m）欧洲土地利用数据集1986-2018
The CORINE (coordination of information on the environment) Land Cover (CLC) inventory was initiated in 1985 to standardize data collection on land in Europe to support environmental policy development. The project is coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme and implemented by national teams. The number of participating countries has increased over time currently including 33 (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2.
CLC2018 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2018. The reference year of the first CLC inventory was 1990 and the first update created in 2000. Later, the update cycle has become 6 years. Satellite imagery provides the geometrical and thematic basis for mapping with in-situ data as essential ancillary information. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU), and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.
CORINE（环境信息协调）土地覆盖 (CLC) 清单于 1985 年启动，旨在标准化欧洲土地数据收集，以支持环境政策制定。该项目由欧洲环境署 (EEA) 在欧盟哥白尼计划的框架内协调，并由国家团队实施。随着时间的推移，参与国的数量不断增加，目前包括 33 个（欧洲经济区）成员国和六个合作国家（EEA39），总面积超过 5.8 平方公里。 CLC2018 是 Corine Land Cover 计划框架内生成的数据集之一，涉及 2018 年的土地覆盖/土地利用状况。第一次 CLC 清单的参考年份是 1990 年，第一次更新创建于 2000 年。后来，更新周期已经变成6年了。卫星图像为以实地数据作为基本辅助信息的制图提供了几何和专题基础。 CLC的基本技术参数（即44类命名、25公顷最小制图单位（MMU）、100米最小制图宽度）自开始以来没有变化，因此不同清单的结果具有可比性。
The time period covered by each asset is:
- 1990 asset: 1989 to 1998
- 2000 asset: 1999 to 2001
- 2006 asset: 2005 to 2007
- 2012 asset: 2011 to 2012
- 2018 asset: 2017 to 2018
每项影像涵盖的时间段为：
1990年资产：1989年至1998年
2000年资产：1999年至2001年
2006年资产：2005年至2007年
2012年资产：2011年至2012年
2018年资产：2017年至2018年Dataset Availability
1986-01-01T00:00:00 - 2018-12-31T00:00:00
Dataset Provider
Collection Snippet
ee.ImageCollection("COPERNICUS/CORINE/V20/100m")
Resolution
100 meters
Bands Table
Name | Description |
|---|---|
landcover | Land cover |
Class Table: landcover
Value | Color | Color Value | Description |
|---|---|---|---|
111 | #E6004D | Artificial surfaces > Urban fabric > Continuous urban fabric | |
112 | #FF0000 | Artificial surfaces > Urban fabric > Discontinuous urban fabric | |
121 | #CC4DF2 | Artificial surfaces > Industrial, commercial, and transport units > Industrial or commercial units | |
122 | #CC0000 | Artificial surfaces > Industrial, commercial, and transport units > Road and rail networks and associated land | |
123 | #E6CCCC | Artificial surfaces > Industrial, commercial, and transport units > Port areas | |
124 | #E6CCE6 | Artificial surfaces > Industrial, commercial, and transport units > Airports | |
131 | #A600CC | Artificial surfaces > Mine, dump, and construction sites > Mineral extraction sites | |
132 | #A64DCC | Artificial surfaces > Mine, dump, and construction sites > Dump sites | |
133 | #FF4DFF | Artificial surfaces > Mine, dump, and construction sites > Construction sites | |
141 | #FFA6FF | Artificial surfaces > Artificial, non-agricultural vegetated areas > Green urban areas | |
142 | #FFE6FF | Artificial surfaces > Artificial, non-agricultural vegetated areas > Sport and leisure facilities | |
211 | #FFFFA8 | Agricultural areas > Arable land > Non-irrigated arable land | |
212 | #FFFF00 | Agricultural areas > Arable land > Permanently irrigated land | |
213 | #E6E600 | Agricultural areas > Arable land > Rice fields | |
221 | #E68000 | Agricultural areas > Permanent crops > Vineyards | |
222 | #F2A64D | Agricultural areas > Permanent crops > Fruit trees and berry plantations | |
223 | #E6A600 | Agricultural areas > Permanent crops > Olive groves | |
231 | #E6E64D | Agricultural areas > Pastures > Pastures | |
241 | #FFE6A6 | Agricultural areas > Heterogeneous agricultural areas > Annual crops associated with permanent crops | |
242 | #FFE64D | Agricultural areas > Heterogeneous agricultural areas > Complex cultivation patterns | |
243 | #E6CC4D | Agricultural areas > Heterogeneous agricultural areas > Land principally occupied by agriculture, with significant areas of natural vegetation | |
244 | #F2CCA6 | Agricultural areas > Heterogeneous agricultural areas > Agro-forestry areas | |
311 | #80FF00 | Forest and semi natural areas > Forests > Broad-leaved forest | |
312 | #00A600 | Forest and semi natural areas > Forests > Coniferous forest | |
313 | #4DFF00 | Forest and semi natural areas > Forests > Mixed forest | |
321 | #CCF24D | Forest and semi natural areas > Scrub and/or herbaceous vegetation associations > Natural grasslands | |
322 | #A6FF80 | Forest and semi natural areas > Scrub and/or herbaceous vegetation associations > Moors and heathland | |
323 | #A6E64D | Forest and semi natural areas > Scrub and/or herbaceous vegetation associations > Sclerophyllous vegetation | |
324 | #A6F200 | Forest and semi natural areas > Scrub and/or herbaceous vegetation associations > Transitional woodland-shrub | |
331 | #E6E6E6 | Forest and semi natural areas > Open spaces with little or no vegetation > Beaches, dunes, sands | |
332 | #CCCCCC | Forest and semi natural areas > Open spaces with little or no vegetation > Bare rocks | |
333 | #CCFFCC | Forest and semi natural areas > Open spaces with little or no vegetation > Sparsely vegetated areas | |
334 | #000000 | Forest and semi natural areas > Open spaces with little or no vegetation > Burnt areas | |
335 | #A6E6CC | Forest and semi natural areas > Open spaces with little or no vegetation > Glaciers and perpetual snow | |
411 | #A6A6FF | Wetlands > Inland wetlands > Inland marshes | |
412 | #4D4DFF | Wetlands > Inland wetlands > Peat bogs | |
421 | #CCCCFF | Wetlands > Maritime wetlands > Salt marshes | |
422 | #E6E6FF | Wetlands > Maritime wetlands > Salines | |
423 | #A6A6E6 | Wetlands > Maritime wetlands > Intertidal flats | |
511 | #00CCF2 | Water bodies > Inland waters > Water courses | |
512 | #80F2E6 | Water bodies > Inland waters > Water bodies | |
521 | #00FFA6 | Water bodies > Marine waters > Coastal lagoons | |
522 | #A6FFE6 | Water bodies > Marine waters > Estuaries | |
523 | #E6F2FF | Water bodies > Marine waters > Sea and ocean |
影像属性
Name | Type | Description |
|---|---|---|
landcover_class_names | List of Strings | Land cover class names |
landcover_class_palette | List of Strings | Land cover class palette |
landcover_class_values | List of Ints | Value of the land cover classification. |
代码：
var dataset = ee.Image('COPERNICUS/CORINE/V20/100m/2012');
var landCover = dataset.select('landcover');
Map.setCenter(16.436, 39.825, 6);
Map.addLayer(landCover, {}, 'Land Cover');腾讯云开发者
