Remote sensing estimation of the biomass of floating Ulva prolifera and analysis of the main factors driving the interannual variability of the biomass in the Yellow Sea.

Xiao, Yanfang; Zhang, Jie; Cui, Tingwei; Gong, Jialong; Liu, Rongjie; Chen, Xiaoying; Liang, Xijian

Xiao, Yanfang; Zhang, Jie; Cui, Tingwei; Gong, Jialong; Liu, Rongjie; Chen, Xiaoying; Liang, Xijian.

Afiliação

Xiao Y; First Institute of Oceangraphy, Ministry of Natural Resources, Qingdao, Shandong 266061, China. Electronic address: xiaoyanfang@fio.org.cn.
Zhang J; First Institute of Oceangraphy, Ministry of Natural Resources, Qingdao, Shandong 266061, China.
Cui T; First Institute of Oceangraphy, Ministry of Natural Resources, Qingdao, Shandong 266061, China.
Gong J; College of Information Science & Engineering, Ocean University of China, Qingdao, Shandong 266100, China.
Liu R; First Institute of Oceangraphy, Ministry of Natural Resources, Qingdao, Shandong 266061, China.
Chen X; First Institute of Oceangraphy, Ministry of Natural Resources, Qingdao, Shandong 266061, China.
Liang X; College of Information Science & Engineering, Ocean University of China, Qingdao, Shandong 266100, China.

Mar Pollut Bull ; 140: 330-340, 2019 Mar.

Article em En | MEDLINE | ID: mdl-30803652

Assuntos

Monitoramento Ambiental/métodos; Eutrofização; Tecnologia de Sensoriamento Remoto; Ulva/crescimento & desenvolvimento; Biomassa; Oceanos e Mares; República da Coreia; Estações do Ano

Palavras-chave

Atmosphere effect; Biomass; EVI; Ocean color; Remote sensing; Ulva prolifera

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Ulva / Eutrofização / Tecnologia de Sensoriamento Remoto País/Região como assunto: Asia Idioma: En Revista: Mar Pollut Bull Ano de publicação: 2019 Tipo de documento: Article

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