Google Earth Engine ——数据全解析专辑（COPERNICUS/CORINE/V18_5_1/100m）欧洲土地利用数据1986-2012

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.

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。

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，更新周期变成了 6 年。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。

Dataset Availability

1986-01-01T00:00:00 - 2012-12-31T00:00:00

Dataset Provider

EEA/Copernicus

Collection Snippet

ee.ImageCollection("COPERNICUS/CORINE/V18_5_1/100m")

Resolution

100 meters

Bands Table

Class Table: landcover

影像属性：

影像来源：

Access to data is based on a principle of full, open, and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. For more information visit: https://land.copernicus.eu/pan-european/corine-land-cover/clc-2012?tab=metadata.

示例代码：

var dataset = ee.Image('COPERNICUS/CORINE/V18_5_1/100m/2012');
var landCover = dataset.select('landcover');
Map.setCenter(16.436, 39.825, 6);
Map.addLayer(landCover, {}, 'Land Cover');

影像：