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A classification-based approach to mapping particulate organic matter (POM) in inland water using OLCI images.
Liu, Huaiqing; Liu, Wenyu; Lin, Jie; Lyu, Heng; Li, Yunmei; Chen, Fangfang; Zhao, Ying; Xu, Jiafeng; Guo, Honglei.
Afiliación
  • Liu H; Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing, 210023, People's Republic of China.
  • Liu W; Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing, 210023, People's Republic of China.
  • Lin J; Co-Innovation Center for Sustainable Forestry in Southern China of Jiangsu Province, Key Laboratory of Soil and Water Conservation and Ecological Restoration of Jiangsu Province, Nanjing Forestry University, Nanjing, 210037, People's Republic of China.
  • Lyu H; Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing, 210023, People's Republic of China. heng.lyu@gmail.com.
  • Li Y; Jiangsu Center for Collaboration Invocation in Geographical Information Resource Development and Application, Nanjing, 210023, People's Republic of China. heng.lyu@gmail.com.
  • Chen F; Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing, 210023, People's Republic of China.
  • Zhao Y; Jiangsu Center for Collaboration Invocation in Geographical Information Resource Development and Application, Nanjing, 210023, People's Republic of China.
  • Xu J; Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing, 210023, People's Republic of China.
  • Guo H; Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing, 210023, People's Republic of China.
Environ Sci Pollut Res Int ; 30(23): 64203-64220, 2023 May.
Article en En | MEDLINE | ID: mdl-37060413
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Ecosistema Idioma: En Revista: Environ Sci Pollut Res Int Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2023 Tipo del documento: Article
Texto completo
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XML
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Ecosistema Idioma: En Revista: Environ Sci Pollut Res Int Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2023 Tipo del documento: Article