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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Zhang, Yongqiang edt Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 1 electronic resource (216 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier 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 capitalize on 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. English Research & information: general bicssc rainfall monitoring remote sensing rain rate estimation 5G millimeter-wave E-band LOS-MIMO UAV remote sensing Ephemeral rivers flood peak discharge incipient motion arid ungauged regions flash flood Integrated Multi-Satellite Retrievals for Global Precipitation Measurement Rainfall Triggering Index Yunnan ecological water transfer wetland vegetation ecosystem surface and groundwater interaction northwestern China WRF-3DVar data assimilation coupled atmospheric-hydrologic system rainfall-runoff prediction lumped Hebei model grid-based Hebei model WRF-Hydro modeling system evapotranspiration model SWAT calibration regression Sierra Nevada flux tower water limitation vapor pressure deficit double-mass analysis coefficient of variability seasonal ARIMA MK-S trend analysis evaporation LAI NDVI urban ecosystem sponge city PML-V2 Penman–Monteith equation Sentinel-2 assimilation frequency data assimilation WRF-3DAVR radar reflectivity rainfall forecast urban flood design rainfall ungauged drainage basin RainyDay IDF formula hydrological prediction climate change land use change 3-0365-2331-6 3-0365-2332-4 Ryu, Dongryeol edt Zheng, Donghai edt Zhang, Yongqiang oth Ryu, Dongryeol oth Zheng, Donghai oth |
language |
English |
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eBook |
author2 |
Ryu, Dongryeol Zheng, Donghai Zhang, Yongqiang Ryu, Dongryeol Zheng, Donghai |
author_facet |
Ryu, Dongryeol Zheng, Donghai Zhang, Yongqiang Ryu, Dongryeol Zheng, Donghai |
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HerausgeberIn HerausgeberIn Sonstige Sonstige Sonstige |
title |
Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World |
spellingShingle |
Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World |
title_full |
Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World |
title_fullStr |
Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World |
title_full_unstemmed |
Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World |
title_auth |
Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World |
title_new |
Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World |
title_sort |
using remote sensing techniques to improve hydrological predictions in a rapidly changing world |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
physical |
1 electronic resource (216 p.) |
isbn |
3-0365-2331-6 3-0365-2332-4 |
illustrated |
Not Illustrated |
work_keys_str_mv |
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(CKB)5400000000043457 (oapen)https://directory.doabooks.org/handle/20.500.12854/76951 (EXLCZ)995400000000043457 |
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Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World |
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