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

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

Usage statistics

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Geolocation

Hetao Irrigation Plain
lat (N): 40.8
lon (E): 107.0
view on openstreetmap

Licence

CC0

Interoperability

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

History

  • 2020-07-20 first online, published, posted

Publisher

4TU.ResearchData

Format

media types: application/pdf, application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Organizations

Geomathematics Key Laboratory of Sichuan Province, Chengdu Technological University

DATA

Files (2)