| Planetary Computer Explore Data Catalog Applications Documentation Datasets Overview The ESA Climate Change Initiative (CCI)Land Cover datasetprovides consistent global annual land cover maps at 300m spatial resolution from 1992 to 2020. The land cover classes are defined using the United Nations Food...
Climate responseThe European Space Agency Climate Change Initiative Land Cover data (ESA CCI-LC, from 1992 to 2015) is introduced to the National Center for Atmospheric Research Community Earth System Model version 1.2.1 (NCAR CESM1.2.1). In comparison with the original land surface data in ...
数据集包括每个像素首次探测到火灾的估计日期、探测到火灾的置信度以及被烧毁的土地覆盖物(从欧空局 CCI 土地覆盖物数据集 v2.0.7 中提取)。 此外,还提供了一个观测标志,以识别因缺乏有效观测或属于非燃烧土地覆盖而未处理的像素。 FireCCI51是欧空局气候变化倡议(CCI)计划的一部分,也是哥白尼气候变化服务(C3S)...
Using the PAC, the agreement of ESA CCI LC with CLC is found to be ∼76 % for the research area (RA). Although the agreement decreases slightly using the PAC, no substantial differences in agreement measures were found compared to the results of the MA. Dominant LULC categories ...
ESACCI-LC|Slide1 ESAUNCLASSIFIED–ForOfficialUse ESACCI-LC|Slide2 ESAUNCLASSIFIED–ForOfficialUse CCICCI--LandCoverLandCover Objectives&DescriptionObjectives&Description FollowingtheGCOSGCOSImplementationPlan,thepurposeoftheClimateClimateChangeChangeInitiativeInitiative ...
简介:FireCCI51 是 ESA 气候变化倡议(CCI)计划的一部分,提供全球 ~250m 分辨率的火灾烧毁面积数据。该数据集基于 MODIS 卫星传感器,包含烧毁日期、置信度和土地覆盖信息,帮助监测和研究火灾动态及影响。数据时间范围为2001年至2020年,每月更新。主要用于评估火灾风险和制定应对策略。
Although there are uncertainties in ESA-CCI LC maps, resulting from remote-sensing techniques such as mixed pixels, spectral similar objects, and same subject with different spectrum, the long time series and relatively high resolution of this product help us to understand the differences between ...
FireCCI51是欧空局气候变化倡议(CCI)计划的一部分,也是哥白尼气候变化服务(C3S)的一部分。 数据集说明 空间信息 Dataset Availability 2001-01-01T00:00:00Z–2020-12-01T00:00:00Z Dataset Provider European Space Agency (ESA) Climate Change Initiative (CCI) Programme, Fire ECV ...
For each tile in the change zone, the following attributes were calculated: transition matrix between CCI-LC categories, a set of change trajectories, and a composition of plant functional types (PFTs). The result is a comprehensive but relatively compact SQL-searchable database to be used for ...
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