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Monitoring riverine traffic from space: The untapped potential of remote sensing for measuring human footprint on inland waterways.
Smigaj, Magdalena; Hackney, Christopher R; Diem, Phan Kieu; Tri, Van Pham Dang; Ngoc, Nguyen Thi; Bui, Duong Du; Darby, Stephen E; Leyland, Julian.
Afiliação
  • Smigaj M; Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Droevendaalsesteeg 3, 6708 PB Wageningen, the Netherlands; School of Geography, Politics and Sociology, Newcastle University, Newcastle upon Tyne NE1 7RU, UK. Electronic address: magdalena.smigaj@wur.nl.
  • Hackney CR; School of Geography, Politics and Sociology, Newcastle University, Newcastle upon Tyne NE1 7RU, UK.
  • Diem PK; College of the Environment and Natural Resources, Can Tho University, 3/2 Street, Can Tho City, Viet Nam.
  • Tri VPD; DRAGON-Mekong Institute, Can Tho University, 3/2 Street, Can Tho City, Viet Nam.
  • Ngoc NT; National Center for Water Resources Planning and Investigation (NAWAPI), Ministry of Natural Resources and Environment (MONRE), Hanoi, Viet Nam.
  • Bui DD; National Center for Water Resources Planning and Investigation (NAWAPI), Ministry of Natural Resources and Environment (MONRE), Hanoi, Viet Nam.
  • Darby SE; School of Geography and Environmental Science, University of Southampton, Southampton, UK.
  • Leyland J; School of Geography and Environmental Science, University of Southampton, Southampton, UK.
Sci Total Environ ; 860: 160363, 2023 Feb 20.
Article em En | MEDLINE | ID: mdl-36423834
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Tecnologia de Sensoriamento Remoto Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de publicação: Holanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Tecnologia de Sensoriamento Remoto Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de publicação: Holanda