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Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World

文献类型：期刊论文

作者Zhang, Yongqiang1; Ryu, Dongryeol2; Zheng, Donghai3
刊名REMOTE SENSING
出版日期2021-10-01
卷号13期号:19页码:7
关键词remote sensing model hydrological prediction climate change land use change evapotranspiration
DOI10.3390/rs13193865
通讯作者Zhang, Yongqiang(yongqiang.zhang2014@gmail.com)
英文摘要Remotely sensed geophysical datasets are being produced at increasingly fast rates to monitor various aspects of the Earth system in a rapidly changing world. The efficient and innovative use of these datasets to understand hydrological processes in various climatic and vegetation regimes under anthropogenic impacts has become an important challenge, but with a wide range of research opportunities. The ten contributions in this Special Issue have addressed the following four research topics: (1) Evapotranspiration estimation; (2) rainfall monitoring and prediction; (3) flood simulations and predictions; and (4) monitoring of ecohydrological processes using remote sensing techniques. Moreover, the authors have provided broader discussions, on how to make the most out of the stateof-the-art remote sensing techniques to improve hydrological model simulations and predictions, to enhance their skills in reproducing processes for the fast-changing world.
WOS关键词EVAPOTRANSPIRATION ; ASSIMILATION ; TERM
资助项目CAS Pioneer Talent Program ; National Natural Science Foundation of China[41971032]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000707361900001
出版者MDPI
资助机构CAS Pioneer Talent Program ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/167100]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Yongqiang
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Univ Melbourne, Fac Engn & Informat Technol, Dept Infrastruct Engn, Melbourne, Vic 3010, Australia
3.Chinese Acad Sci, Inst Tibetan Plateau Res, State Key Lab Tibetan Plateau Earth Syst Resource, Natl Tibetan Plateau Data Ctr, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Yongqiang,Ryu, Dongryeol,Zheng, Donghai. Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World[J]. REMOTE SENSING,2021,13(19):7.
APA Zhang, Yongqiang,Ryu, Dongryeol,&Zheng, Donghai.(2021).Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World.REMOTE SENSING,13(19),7.
MLA Zhang, Yongqiang,et al."Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World".REMOTE SENSING 13.19(2021):7.

入库方式： OAI收割

来源：地理科学与资源研究所

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