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Tropical peat subsidence rates are related to decadal LULC changes: Insights from InSAR analysis.
Umarhadi, Deha Agus; Widyatmanti, Wirastuti; Kumar, Pankaj; Yunus, Ali P; Khedher, Khaled Mohamed; Kharrazi, Ali; Avtar, Ram.
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  • Umarhadi DA; Graduate School of Environmental Science, Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Japan.
  • Widyatmanti W; Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta, Indonesia.
  • Kumar P; Natural Resources and Ecosystem Services, Institute for Global Environmental Strategies, Hayama, Japan.
  • Yunus AP; State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China; Center for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Japan.
  • Khedher KM; Department of Civil Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia; Department of Civil Engineering, High Institute of Technological Studies, Mrezgua University Campus, Nabeul 8000, Tunisia.
  • Kharrazi A; Advanced Systems Analysis Group, International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361 Laxenburg, Austria; Faculty of International Liberal Arts Global Studies Program, Akita International University, Okutsubakidai-193-2 Yuwatsubakigawa, Akita 010-1211, Japan; CMCC Foundation-
  • Avtar R; Graduate School of Environmental Science, Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Japan; Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Japan. Electronic address: ram@ees.hokudai.ac.jp.
Sci Total Environ ; 816: 151561, 2022 Apr 10.
Article en En | MEDLINE | ID: mdl-34767891
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Radar / Suelo Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Sci Total Environ Año: 2022 Tipo del documento: Article País de afiliación: Japón
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Radar / Suelo Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Sci Total Environ Año: 2022 Tipo del documento: Article País de afiliación: Japón