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

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 anth...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2021-10, Vol.13 (19), p.3865
Main Authors: Zhang, Yongqiang, Ryu, Dongryeol, Zheng, Donghai
Format: Article
Language:English
Subjects:
Anthropogenic factors
Climate change
Data assimilation
Datasets
Efficiency
Evapotranspiration
Flood predictions
Floods
Human influences
Hydroelectric power
Hydrologic models
hydrological prediction
Hydrology
Investigations
land use change
Parameter estimation
Precipitation
Predictions
Rain
Rainfall
Remote monitoring
Remote sensing
Rivers
Simulation
Stream flow
Unmanned aerial vehicles
Watersheds
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Summary: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 state-of-the-art remote sensing techniques to improve hydrological model simulations and predictions, to enhance their skills in reproducing processes for the fast-changing world.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs13193865