Google Earth Engine ——全球JRC/GSW1_2/MonthlyHistory数据集的观测数据
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2019 and provides statistics on the extent and change of those water surfaces. For more information ....

Google Earth Engine ——全球JRC/GSW1_2/Metadata数据集的观测数据
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2019 and provides statistics on the extent and change of those water surfaces. For more information ....

Google Earth Engine ——全球JRC/GSW1_2/GlobalSurfaceWater数据集的观测数据
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2019 and provides statistics on the extent and change of those water surfaces. For more information ....

Google Earth Engine ——全球JRC/GSW1_1/YearlyHistory数据集的观测数据
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2018 and provides statistics on the extent and change of those water surfaces. For more information ....

Google Earth Engine ——全球JRC/GSW1_1/Metadata数据集的观测数据的元数据
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2018 and provides statistics on the extent and change of those water surfaces. For more information ....

Google Earth Engine ——全球1984年至2018年JRC/GSW1_1/GlobalSurfaceWater地表水数据集
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2018 and provides statistics on the extent and change of those water surfaces. For more information ....

Google Earth Engine ——GCOM-C 进行长期和持续的海洋表面温度数据集(JAXA/GCOM-C/L3/OCEAN/SST/V2)
This product is the temperature of sea surface.A newer version JAXA/GCOM-C/L3/OCEAN/SST/V1 is also available for this dataset which uses this algorithm for processing.GCOM-C conducts long-term and co....

Google Earth Engine ——LANDSAT 7归一化植被指数NDVI数据集
These Landsat 7 composites are made from Level L1T orthorectified scenes, using the computed top-of-atmosphere (TOA) reflectance. See Chander et al. (2009) for details on the TOA computation.As of Ma....

Google Earth Engine ——全球人类住区层(GHSL)数据集
The GHSL relies on the design and implementation of new spatial data mining technologies allowing to automatically process and extract analytics and knowledge from large amount of heterogeneous data ....

Google Earth Engine ——GCOM-C 进行长期和持续的海表层浮游植物中绿色色素(叶绿素-a)的浓度。数据集(JAXA/GCOM-C/L3/OCEAN/CHLA/V1)
该乘积是海表层浮游植物中光合色素(叶绿素-a)的浓度。更新版本的 JAXA/GCOM-C/L3/OCEAN/CHLA/V2 也可用于此数据集,该数据集使用此算法进行处理。GCOM-C 进行长期和持续的全球观测和数据收集,以阐明辐射收支和碳循环波动背后的机制,从而对未来温度上升做出准确预测。同时,与有气候数值模型的研究机构合作,有助于减少气候数值模型得出的温升预测误差,提高各种环境变化的预测精度。....

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