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Reprocessing Dataset of Global Soil Moisture Product (2015-2019)


LIU Yangxiaoyue1,2
1Guangzhou Institute of Geography,Guangdong Academy of Sciences,Guangzhou 510070,China2Southern Marine Science and Engineering Guangdong Laboratory,Guangzhou 511458,China

DOI:10.3974/geodb.2020.08.03.V1

Published:Nov. 2020

Visitors:609       Data Files Downloaded:225      
Data Downloaded:41578.87 MB      Citations:

Key Words:

data reprocessing,soil moisture,global,daily,ECV SM,IEEE Access

Abstract:

Reprocessing dataset of global soil moisture product (2015-2019) was developed based on integrating the Essential Climate Variable(ECV) soil moisture (SM) multi-source satellite fusion products(1d,0.25°x0.25°) and the Soil Moisture Active Passive (SMAP) soil moisture products through re-projection, re-sampling and weighted calculation. The dataset was validated by 134 monitoring stations in 8 soil moisture monitoring networks in Europe, the results show that the spatial integrity of soil moisture products is significantly improved (about 20%), and the data quality is also improved compared with the original ECV SM. The dataset is archived in .tif data format in 1737 data files with the data size of 6.71 GB (compressed into five data files with 931 MB). The analysis and finding results based on this dataset have been published in IEEE Access, Vol. 8, 2020.

Foundation Item:

Ministry of Human Resources and Social Security of P. R. China, National Post-Doctor Regulatory Commission (BX20200100); National Earth Observation Data Center (NODAOP2020002); Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou, GML2019ZD0301)

Data Citation:

LIU Yangxiaoyue.Reprocessing Dataset of Global Soil Moisture Product (2015-2019)[DB/J].Global Change Data Repository,2020.DOI:10.3974/geodb.2020.08.03.V1.

Data Product:

ID Data Name Data Size Operation
1 SM_2015_0331_1231.rar 162841.29KB
2 SM_2016_0101_1231.rar 198774.92KB
3 SM_2017_0101_1231.rar 198419.00KB
4 SM_2018_0101_1231.rar 198014.72KB
5 SM_2019_0101_1231.rar 196160.30KB
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