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A semi-analytical model to estimate Chlorophyll-a spatial-temporal patterns from Orbita Hyperspectral image in inland eutrophic waters.
Zheng, Zhubin; Huang, Chao; Li, Yunmei; Lyu, Heng; Huang, Changchun; Chen, Na; Liu, Ge; Guo, Yulong; Lei, Shaohua; Zhang, Runfei; Li, Jianzhong.
Afiliação
  • Zheng Z; School of Geography and Environmental Engineering, Jiangxi Provincial Key Laboratory of Low-Carbon Solid Waste Recycling, Gannan Normal University, Ganzhou 341000, China. Electronic address: zhengzhubin@gnnu.edu.cn.
  • Huang C; School of Geography and Environmental Engineering, Jiangxi Provincial Key Laboratory of Low-Carbon Solid Waste Recycling, Gannan Normal University, Ganzhou 341000, China.
  • Li Y; School of Geographic Science, Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing 210023, China.
  • Lyu H; School of Geographic Science, Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing 210023, China.
  • Huang C; School of Geographic Science, Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing 210023, China.
  • Chen N; Department of Environmental Sciences, Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Droevendaalsesteeg 3, 6708 PB Wageningen, the Netherlands.
  • Liu G; Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.
  • Guo Y; College of the Resources and Environmental Sciences, Henan Agricultural University, Zhengzhou 450002, China.
  • Lei S; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China.
  • Zhang R; School of Geographic Science, Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing 210023, China.
  • Li J; School of Geographic Science, Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing 210023, China.
Sci Total Environ ; 904: 166785, 2023 Dec 15.
Article em En | MEDLINE | ID: mdl-37666339
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article