Google Earth Engine——全球增强植被指数(EVI)产品的基础数据集是MODIS BRDF校正图像(MCD43B4)
The underlying dataset for this Enhanced Vegetation Index (EVI) product is MODIS BRDF-corrected imagery (MCD43B4), which was gap-filled using the approach outlined in Weiss et al. (2014) to eliminate....

Google Earth Engine——全球土地覆盖产品的基础数据集是MODIS年度土地覆盖产品(MCD12Q1)中的IGBP层
The underlying dataset for this landcover product is the IGBP layer found within the MODIS annual landcover product (MCD12Q1). This data was converted from its categorical format, which has a ≈500 me....

Google Earth Engine——全球地表温度日间产品的基础数据集是MODIS陆地表面温度数据(MOD11A2)
The underlying dataset for this daytime product is MODIS land surface temperature data (MOD11A2), which was gap-filled using the approach outlined in Weiss et al. (2014) to eliminate missing data cau....

Google Earth Engine——流苏帽亮度(TCB)数据集该数据集由Malaria Atlas项目的Harry Gibson和Daniel Weiss制作
This gap-filled Tasseled Cap Brightness (TCB) dataset was created by applying the tasseled-cap equations defined in Lobser and Cohen (2007) to MODIS BRDF-corrected imagery (MCD43B4). The resulting da....

Google Earth Engine——Oxford MAP TCW: Malaria Atlas Project Gap-Filled Tasseled Cap Wetness数据集
This gap-filled Tasseled Cap Wetness (TCW) dataset was created by applying the tasseled-cap equations defined in Lobser and Cohen (2007) to MODIS BRDF-corrected imagery (MCD43B4). The resulting data ....

Google Earth Engine——北纬85度和南纬60度之间所有地区到最近的人口密集区的迁移时间数据集
This global accessibility map enumerates land-based travel time to the nearest densely-populated area for all areas between 85 degrees north and 60 degrees south for a nominal year 2015. Densely-popu....

Google Earth Engine——全球摩擦面列举了北纬85度和南纬60度之间的所有陆地像素在2015年的名义年的陆地迁移速度。
This global friction surface enumerates land-based travel speed for all land pixels between 85 degrees north and 60 degrees south for a nominal year 2015. This map was produced through a collaboratio....

Google Earth Engine——PRISM日数据集和月数据集是美国本土的网格化气候数据集,由俄勒冈州立大学的PRISM气候小组制作。
The PRISM daily and monthly datasets are gridded climate datasets for the conterminous United States, produced by the PRISM Climate Group at Oregon State University. Grids are developed using PRISM (....

Google Earth Engine——GOES-16/17 MCMIPM Series ABI Level 2 这些波段支持云、植被、雪/冰和气溶胶的特征。
GOES satellites are geostationary weather satellites run by NOAA.The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" qu....

Google Earth Engine——NCEP-DOE Reanalysis 2项目正在使用最先进的分析/预报系统,利用1979年至前一年的过去数据进行数据同化。
NCEP-DOE Reanalysis 2 project is using a state-of-the-art analysis/forecast system to perform data assimilation using past data from 1979 through the previous year.NCEP-DOE Reanalysis 2项目正在使用最先进的分析/预....

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