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Dataset . 2020
License: CC BY
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Claim

Using generalized regression neural network to retrieve bare surface soil moisture from Radarsat-2 backscatter observations, regard less of roughness effect

Research datakeyboard_double_arrow_right Dataset 15 Dec 2020Publisher:Zenodo
Authors: Zeng, Ling; Liu, Quanming; Jing, Linhai; Feng, Jun;

doi: 10.5281/zenodo.4322135 , 10.5281/zenodo.4322141 , 10.5281/zenodo.4322122 , 10.5281/zenodo.4322121

Using generalized regression neural network to retrieve bare surface soil moisture from Radarsat-2 backscatter observations, regard less of roughness effect

Abstract

Description of soil moisture, correlation length, and RMS height from ground measurements of 147 sampling sites, full-polarized backscattering coefficients extracted from Radarsat-2 scene corresponding to those ground measurement sites.

Related Organizations
Keywords

remote sensing technology, soil moisture, artificial neural networks, SAR

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selected citations
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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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