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Assessing sustainable development prospects through remote sensing: A review.
Avtar, Ram; Komolafe, Akinola Adesuji; Kouser, Asma; Singh, Deepak; Yunus, Ali P; Dou, Jie; Kumar, Pankaj; Gupta, Rajarshi Das; Johnson, Brian Alan; Thu Minh, Huynh Vuong; Aggarwal, Ashwani Kumar; Kurniawan, Tonni Agustiono.
Afiliación
  • Avtar R; Faculty of Environmental Earth Science, Hokkaido University, Sapporo, 060-0810, Japan.
  • Komolafe AA; Department of Remote Sensing and Geoscience Information System, Federal University of Technology, PMB 704, Akure, Nigeria.
  • Kouser A; Department of Economics, Bengaluru Central University (BCU), Post Office Road, Ambedkar Veedhi, Bengaluru, Karnataka, 560001, India.
  • Singh D; Department of Geography and Resource Management, The Chinese University of Hong Kong (CUHK), Sha Tin, New Territories, Hong Kong, China.
  • Yunus AP; State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan, 610059, China.
  • Dou J; Department of Civil and Environmental Engineering, Nagaoka University of Technology, 1603-1, Kami-Tomioka, Nagaoka, Niigata, 940-2188, Japan.
  • Kumar P; Natural Resources and Ecosystem Services, Institute for Global Environmental Strategies, Hayama, Kanagawa, 240-0115, Japan.
  • Gupta RD; Natural Resources and Ecosystem Services, Institute for Global Environmental Strategies, Hayama, Kanagawa, 240-0115, Japan.
  • Johnson BA; Natural Resources and Ecosystem Services, Institute for Global Environmental Strategies, Hayama, Kanagawa, 240-0115, Japan.
  • Thu Minh HV; Department of Water Resources, College of Environment and Natural Resources, Cantho University, Cantho City, 900000, Viet Nam.
  • Aggarwal AK; Electrical and Instrumentation Engineering Department, Sant Longowal Institute of Engineering and Technology, Longowal, 148106, Punjab, India.
  • Kurniawan TA; Key Laboratory of the Coastal and Wetland Ecosystems (Xiamen University), Ministry of Education, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, China.
Remote Sens Appl ; 20: 100402, 2020 Nov.
Article en En | MEDLINE | ID: mdl-34173437

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Remote Sens Appl Año: 2020 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Remote Sens Appl Año: 2020 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Países Bajos