Prediction model of water content in surface dead fuel based on convolution neural network and meteoro-logical factors regression.

Sun, Long; Ma, Ling-Gan; Guo, Yan; Fan, Jia-le; Chen, Bo-Xuan; Hu, Tong-Xin

Sun, Long; Ma, Ling-Gan; Guo, Yan; Fan, Jia-le; Chen, Bo-Xuan; Hu, Tong-Xin.

Afiliación

Sun L; School of Forestry, Northeast Forestry University, Harbin 150040, China.
Ma LG; School of Forestry, Northeast Forestry University, Harbin 150040, China.
Guo Y; School of Forestry, Northeast Forestry University, Harbin 150040, China.
Fan JL; School of Forestry, Northeast Forestry University, Harbin 150040, China.
Chen BX; School of Forestry, Northeast Forestry University, Harbin 150040, China.
Hu TX; School of Forestry, Northeast Forestry University, Harbin 150040, China.

Ying Yong Sheng Tai Xue Bao ; 34(9): 2453-2461, 2023 Sep.

Article en En | MEDLINE | ID: mdl-37899112

Asunto(s)

Pinus sylvestris; Quercus; Agua; Viento; Humedad; China

Palabras clave

convolutional neural network; forecast model; meteorological factors regression; water content of surface fuel

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Quercus / Pinus sylvestris País/Región como asunto: Asia Idioma: En Revista: Ying Yong Sheng Tai Xue Bao Asunto de la revista: SAUDE AMBIENTAL Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: China

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