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Estimation of agricultural burned affected area using NDVI and dNBR satellite-based empirical models.
Mohammad, Lal; Bandyopadhyay, Jatisankar; Sk, Rubel; Mondal, Ismail; Nguyen, Trinh Trong; Lama, Giuseppe Francesco Cesare; Anh, Duong Tran.
Afiliação
  • Mohammad L; Centre for Environmental Studies, Vidyasagar University, West Bengal, India; Department of Remote Sensing & GIS, Vidyasagar University, West Bengal, India.
  • Bandyopadhyay J; Centre for Environmental Studies, Vidyasagar University, West Bengal, India; Department of Remote Sensing & GIS, Vidyasagar University, West Bengal, India.
  • Sk R; Department of Remote Sensing & GIS, Vidyasagar University, West Bengal, India.
  • Mondal I; Department of Marine Science, University of Calcutta, Kolkata, 700019, India.
  • Nguyen TT; HUTECH University, 475A, Dien Bien Phu, Ward 25, Binh Thanh District, Ho Chi Minh City, Vietnam. Electronic address: tt.nguyen@hutech.edu.vn.
  • Lama GFC; Department of Civil, Achitectural and Environmental Engineering (DICEA) - University of Naples Federico II, Italy.
  • Anh DT; Laboratory of Environmental Sciences and Climate Change, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, Vietnam; Faculty of Environment, School of Technology, Van Lang University, Ho Chi Minh City, Vietnam. Electronic address: duong.trananh@vl
J Environ Manage ; 343: 118226, 2023 Oct 01.
Article em En | MEDLINE | ID: mdl-37245309
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article