[Detecting the moisture content of forest surface soil based on the microwave remote sensing technology.]

Li, Ming Ze; Gao, Yuan Ke; Di, Xue Ying; Fan, Wen Yi

[Detecting the moisture content of forest surface soil based on the microwave remote sensing technology.] / åºäºå¾®æ³¢é¥æææ¯æ¢æµæ£®æå°è¡¨åå£¤å«æ°´ç.

Li, Ming Ze; Gao, Yuan Ke; Di, Xue Ying; Fan, Wen Yi.

Afiliação

Li MZ; College of Forestry, Northeastry Forestry University, Harbin 150040, China.
Gao YK; College of Forestry, Northeastry Forestry University, Harbin 150040, China.
Di XY; College of Forestry, Northeastry Forestry University, Harbin 150040, China.
Fan WY; College of Forestry, Northeastry Forestry University, Harbin 150040, China.

Ying Yong Sheng Tai Xue Bao ; 27(3): 785-793, 2016 Mar.

Article em Zh | MEDLINE | ID: mdl-29726183

Assuntos

Florestas; Micro-Ondas; Tecnologia de Sensoriamento Remoto; Solo; Água/análise; China; Monitoramento Ambiental

Palavras-chave

BP neural network model; Quad-pol SAR; TDR-300; microwave remote sensing; moisture content of forest surface soil; multivariate linear regression model

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solo / Água / Florestas / Tecnologia de Sensoriamento Remoto / Micro-Ondas Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: Zh Revista: Ying Yong Sheng Tai Xue Bao Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2016 Tipo de documento: Article País de afiliação: China

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