Data underlying the publication: The combined influence of bare surface soil moisture and roughness on SAR backscatter is decoupled in high-dimensional analytic space constructed by generalized regression neural networks (dataset)

Data underlying the publication: The combined influence of bare surface soil moisture and roughness on SAR backscatter is decoupled in high-dimensional analytic space constructed by generalized regression neural networks

doi: 10.4121/uuid:9b31c1fc-3c87-4dbb-8efb-6808a54b2253

Datacite citation style:

Zeng, L. (Ling); Cheng, Q. (Qiuming); Liu, Q. (Quanming); Xia, Q. (Qinlin); Jing, L. (Linhai) et. al. (2020): Data underlying the publication: The combined influence of bare surface soil moisture and roughness on SAR backscatter is decoupled in high-dimensional analytic space constructed by generalized regression neural networks. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:9b31c1fc-3c87-4dbb-8efb-6808a54b2253

Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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keywords

hydrology, soil moisture

geolocation

Hetao Irrigation Plain

lat (N): 40.8

lon (E): 107.0

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CC0

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by L. (Ling) Zeng

, Q. (Qiuming) Cheng, Q. (Quanming) Liu, Q. (Qinlin) Xia, L. (Linhai) Jing, Q. (Qingyun) Shi, J.S. (Jason) Herrin

the description of in situ measurements of bare surface soil moisture contents and the corresponding Radarsat-2 data in each sampling site for the total 147 sampling plots, in Hetao Irrigation Plain, Inner Mongolia, China

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