Assessment of the impact of spatial heterogeneity on microwave satellite soil moisture periodic error.

Lei, Fangni; Crow, Wade T; Shen, Huanfeng; Su, Chun-Hsu; Holmes, Thomas R H; Parinussa, Robert M; Wang, Guojie

Lei, Fangni; Crow, Wade T; Shen, Huanfeng; Su, Chun-Hsu; Holmes, Thomas R H; Parinussa, Robert M; Wang, Guojie.

Afiliação

Lei F; USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, USA.
Crow WT; School of Resource and Environmental Sciences, Wuhan University, Wuhan, Hubei 430072, China.
Shen H; USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, USA.
Su CH; School of Resource and Environmental Sciences, Wuhan University, Wuhan, Hubei 430072, China.
Holmes TRH; Department of Infrastructure Engineering, University of Melbourne, Parkville, Victoria 3010, Australia.
Parinussa RM; NASA GSFC Hydrological Sciences Laboratory, Greenbelt, MD 20771, USA.
Wang G; Transmissivity B.V./VanderSat B.V., Space Technology Business Park, Huygenstraat 34, Noordwijk 2201 DK, The Netherlands.

Remote Sens Environ ; 205: 85-99, 2018 Feb.

Article em En | MEDLINE | ID: mdl-33100408

Palavras-chave

Microwave remote sensing; Periodicity; Satellite-derived soil moisture; Spatial heterogeneity; Spectral analysis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Remote Sens Environ Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

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