Your browser doesn't support javascript.
loading
Very high-resolution remote sensing-based mapping of urban residential districts to help combat COVID-19.
Lu, Heli; Guan, Ruimin; Xia, Menglin; Zhang, Chuanrong; Miao, Changhong; Ge, Yaopeng; Wu, Xiaojing.
Afiliación
  • Lu H; College of Geography and Environmental Science, Key Research Institute of Yellow River Civilization and Sustainable Development, Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475004, China.
  • Guan R; Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, National Demonstration Center for Environment and Planning, Henan University, Kaifeng 475004, China.
  • Xia M; Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng 475004, China.
  • Zhang C; Henan Dabieshan National Field Observation and Research Station of Forest Ecosystem, Henan University, Kaifeng 475004, China.
  • Miao C; College of Geography and Environmental Science, Key Research Institute of Yellow River Civilization and Sustainable Development, Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475004, China.
  • Ge Y; College of Geography and Environmental Science, Key Research Institute of Yellow River Civilization and Sustainable Development, Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475004, China.
  • Wu X; Department of Geography, Center for Environmental Sciences and Engineering, University of Connecticut, Storrs, CT 06269-4148, USA.
Cities ; 126: 103696, 2022 Jul.
Article en En | MEDLINE | ID: mdl-35431391
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cities Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cities Año: 2022 Tipo del documento: Article País de afiliación: China