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A fine-resolution soil moisture dataset for China in 2002~2018

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 05 May 2021Publisher:Zenodo

Authors: Xiangjin Meng; Kebiao Mao; Fei Meng; Jiancheng Shi; Jiangyuan Zeng; Xinyi Shen; Yaokui Cui; +2 Authors

doi: 10.5281/zenodo.4049957 , 10.5281/zenodo.4922393

A fine-resolution soil moisture dataset for China in 2002~2018

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Abstract

Soil moisture is one of the key parameters for flood forecast, drought detection, crop yield estimation, weather prediction and hydrological modeling. Passive microwave remote sensing technology can quickly obtain soil moisture over large areas, but the coarse spatial resolution imposes great limitations. In order to improve the temporal and spatial resolution of soil moisture products, we built a spatial weight decomposition model to improve the resolution of soil moisture products. The validation and application analysis indicate that new product can meet application needs. SMC version 3.0 combines the previous two versions, and corrects and optimizes in some areas.

Related Organizations

Shandong Women’s University
China (People's Republic of)
Chinese Academy of Agricultural Sciences
China (People's Republic of)
Institute of Agricultural Resources and Regional Planning
China (People's Republic of)
Ningxia University
China (People's Republic of)
Peking University
China (People's Republic of)

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Keywords

China, Downscaled, Soil moisture

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A fine-resolution soil moisture dataset for China in 2002~2018
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