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...
Gardado en:
| Formato: | Online |
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| Idioma: | inglés |
| Publicado: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Subjects: | |
| Acceso en liña: | ONIX_20220111_9783036523316_783 |
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| _version_ | 1869527410013110272 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-76951 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-769512024-03-27T16:34:42Z Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World Zhang, Yongqiang Ryu, Dongryeol Zheng, Donghai 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general 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. 2022-01-11T13:47:26Z 2022-01-11T13:47:26Z 2021 book ONIX_20220111_9783036523316_783 9783036523316 9783036523323 https://directory.doabooks.org/handle/20.500.12854/76951 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4542 https://mdpi.com/books/pdfview/book/4542 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-2332-3 10.3390/books978-3-0365-2332-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036523316 9783036523323 216 Basel, Switzerland open access |
| spellingShingle | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World |
| title | 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_short | 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 |
| topic | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| topic_facet | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| url | ONIX_20220111_9783036523316_783 |