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Remote Sensing in Hydrology and Water Resources Management

Water resources are the most valuable resources of sustainable socio-economic development, which is significantly affected by climate change and human activities. Water resources assessment is an urgent need for implementation of the perfect water resources management, but it is difficult to accurat...

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Formato: Online
Idioma:inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2022
Assuntos:
precipitation datasets
evaluation
spatial scale
temporal scale
climate
Yellow River Basin
data assimilation
WRF
WRFDA
3DVar
water levels
surface areas
volume variations
hypsometry
bathymetry
lakes
reservoirs
remote sensing
DAHITI
modified strahler approach
airborne LiDAR
DEM
flood inundation
flood map
flood model
LiDAR
terrestrial LiDAR
evapotranspiration
variability
uncertainty
unmanned aerial system
sUAS
multispectral
viticulture
water resources management
California
lake
Tibetan Plateau
hydrological changes
water balance
Chindwin basin
hydrological modelling
multi-variable calibration
satellite-based rainfall product
TRMM
temporal resolution
rainfall erosivity
combined approach
multi-objective optimization
modeling uncertainty
model constraint
SWAT
semiarid area
hydrological variations
normalized difference vegetation index
total water storage change
groundwater change
extreme precipitation
estimation
TMPA 3B42-V7
regional frequency analysis
China
satellite datasets
accuracy evaluation
hydrological applicability
Bosten Lake Basin
actual evapotranspiration
available water resources
climate change
vegetation greening
VIP-RS model
Lancang-Mekong river basin
MSWEP
AgMERRA
APHRODITE
CHIRPS
PERSIANN
error correction
agricultural water management
crop water consumption
remote sensing model
evapotranspiration allocation
inland water
IWCT
Tianjin
Landsat data
Tarim River Basin
desert-oasis ecotone
land-use change
CA-Markov model
remote sensing in hydrology
precipitation
performance evaluation
GPM
Poyang Lake
Yangtze River
assimilation
nonparametric modeling
multi-source
n/a
landscape pattern
spatiotemporal changes
influencing factors
watershed
China SE
satellite data
LUE-GPP
SPEI
copula function
conditional probability
soil moisture
neural network
downscaling
microwave data
MODIS data
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
Acesso em linha:ONIX_20220111_9783036527017_962
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