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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Year of Publication:2021
Language:English
Physical Description:1 electronic resource (216 p.)
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(oapen)https://directory.doabooks.org/handle/20.500.12854/76951
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spelling 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
format eBook
author2 Ryu, Dongryeol
Zheng, Donghai
Zhang, Yongqiang
Ryu, Dongryeol
Zheng, Donghai
author_facet Ryu, Dongryeol
Zheng, Donghai
Zhang, Yongqiang
Ryu, Dongryeol
Zheng, Donghai
author2_variant y z yz
d r dr
d z dz
author2_role 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
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