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Generating Daily Soil Moisture at 16 m Spatial Resolution Using a Spatiotemporal Fusion Model and Modified Perpendicular Drought Index.
Lu, Xin; Zhao, Hongli; Huang, Yanyan; Liu, Shuangmei; Ma, Zelong; Jiang, Yunzhong; Zhang, Wei; Zhao, Chuan.
Afiliação
  • Lu X; Sichuan Research Institute of Water Conservancy, Chengdu 610072, China.
  • Zhao H; Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.
  • Huang Y; School of Software Engineering, Chengdu University of Information Technology, Chengdu 610200, China.
  • Liu S; Sichuan Research Institute of Water Conservancy, Chengdu 610072, China.
  • Ma Z; Sichuan Research Institute of Water Conservancy, Chengdu 610072, China.
  • Jiang Y; Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.
  • Zhang W; China Electronics Technology Group Corporation (CETC), Big Data Research Institute Chengdu Branch Co., Ltd., Chengdu 610093, China.
  • Zhao C; National Engineering Laboratory for Big Data Application on Improving Government Governance Capabilities, Guiyang 550081, China.
Sensors (Basel) ; 22(14)2022 Jul 19.
Article em En | MEDLINE | ID: mdl-35891046
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Solo / Secas Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Solo / Secas Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article