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Dataset . 2020
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Dataset . 2021
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Dataset . 2021
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Dataset . 2021
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Claim

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

Research datakeyboard_double_arrow_right Dataset 25 Sep 2020Publisher:Zenodo
Authors: Xiangjin Meng; Kebiao Mao; Fei Meng; Jiancheng Shi; Jiangyuan Zeng; Xinyi Shen; Yaokui Cui; +2 Authors

doi: 10.5281/zenodo.4736885 , 10.5281/zenodo.4049958 , 10.5281/zenodo.4738556 , 10.5281/zenodo.4588293

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

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 versions 2.0 is on the basis of 1.0 is a blend of precipitation data and an improved global remote-sensing-based surface soil moisture (RSSSM) dataset by https://doi.pangaea.de/10.1594/PANGAEA.912597 for further improvement.

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Keywords

China, Downscaled, Soil moisture

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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7
Top 10%
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77
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