An improved Remote Sensing-based global Surface Soil Moisture dataset (RSSSM, 2003-2020)

This dataset is an update of our previous dataset published on doi:10.1594/PANGAEA.912597. Based on 11 well-acknowledged global-scale microwave remote sensing-based surface soil moisture products, and with 9 main quality impact factors of microwave-based soil moisture retrieval incorporated, we developed the Remote Sensing-based global Surface Soil Moisture dataset (RSSSM, 2003~2020) through a complicated neural network approach. The spatial resolution of RSSSM is 0.1°, while the temporal resolution is approximately 10 days. The original dataset covered 2003~2018, but now it has been updated to 2020. RSSSM dataset is outstanding in terms of temporal continuity, and has full spatial coverage except for snow, ice and water bodies. The comparison against the global-scale in-situ soil moisture measurements indicates that RSSSM has a higher spatial and temporal accuracy than most of the frequently-used global/regional long-term surface soil moisture datasets. In addition, although RSSSM is remote sensing based, without the incorporation of any precipitation data or records, its interannual variation generally conforms with that of precipitation (e.g., the GPM IMERG precipitation data) and Standardized Precipitation Evapotranspiration Index (SPEI). Moreover, RSSSM can also reflect the impact of human activities, e.g., urbanization, cropland irrigation and afforestation on soil moisture changes to some degree. The data is in 'Tiff' format, and the size after compression is 2.44 GB. The relevant data describing paper has been published in the Journal 'Earth System Science Data' in 2021.

Data and Resources

This dataset has no data

Cite this as

Chen, Yongzhe (2022). Dataset: An improved Remote Sensing-based global Surface Soil Moisture dataset (RSSSM, 2003-2020). https://doi.org/10.1594/PANGAEA.940004

DOI retrieved: 2022

Additional Info

Field Value
Imported on November 30, 2024
Last update November 30, 2024
License CC-BY-4.0
Source https://doi.org/10.1594/PANGAEA.940004
Author Chen, Yongzhe
Given Name Yongzhe
Family Name Chen
Source Creation 2022
Publication Year 2022
Resource Type application/x-rar-compressed - filename: RSSSM
Subject Areas
Name: Lithosphere

Related Identifiers
Title: An improved global remote-sensing-based surface soil moisture (RSSSM) dataset covering 2003–2018
Identifier: https://doi.org/10.5194/essd-13-1-2021
Type: DOI
Relation: References
Year: 2021
Source: Earth System Science Data
Authors: Chen Yongzhe , Feng Xiaoming , Fu Bojie , Chen Yongzhe .

Title: A new dataset of satellite observation-based global surface soil moisture covering 2003-2018
Identifier: https://doi.org/10.1594/PANGAEA.912597
Type: DOI
Relation: References
Year: 2020
Authors: Chen Yongzhe , Feng Xiaoming , Fu Bojie , Chen Yongzhe .