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Improving Flood Detection and Monitoring through Remote Sensing
Improving Flood Detection and Monitoring through Remote Sensing
Autore Refice Alberto
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (158 p.)
Soggetto topico Environmental science, engineering and technology
History of engineering and technology
Technology: general issues
Soggetto non controllato ALOS 2
clustering
CYGNSS
flood
flood detection
flood mapping
flood monitoring
geometric parameters
GNSS-R
high-water marks
hydrology
image classification
image processing
inundation
levee stability
LiDAR
mobile mapping system
monsoon
multi-sensor integration
multi-temporal inundation analysis
n/a
Northern Kyushu floods
overtopping
Pearl River Delta
Philippines
point clouds
RRI model
SAR
sentinel-1
Sentinel-1
Sistan and Baluchestan
synthetic aperture radar
Synthetic Aperture Radar (SAR)
temporary flooded vegetation (TFV)
time series data
Zambesi-Shire river basin
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910585942203321
Refice Alberto  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical Analysis and Stochastic Modelling of Hydrological Extremes / Hossein Tabari
Statistical Analysis and Stochastic Modelling of Hydrological Extremes / Hossein Tabari
Autore Tabari Hossein
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (294 p.)
Soggetto topico Meteorology & climatology
Soggetto non controllato artificial neural network
downscaling
innovative methods
reservoir inflow forecasting
simulation
extreme events
climate variability
sparse monitoring network
weighted mean analogue
sampling errors
precipitation
drought indices
discrete wavelet
SWSI
hyetograph
trends
climate change
SIAP
Kabul river basin
Hurst exponent
extreme rainfall
evolutionary strategy
the Cauca River
hydrological drought
global warming
least square support vector regression
polynomial normal transform
TRMM
satellite data
Fiji
heavy storm
flood regime
compound events
random forest
uncertainty
seasonal climate forecast
INDC pledge
Pakistan
wavelet artificial neural network
HBV model
temperature
APCC Multi-Model Ensemble
meteorological drought
flow regime
high resolution
rainfall
clausius-clapeyron scaling
statistical downscaling
ENSO
forecasting
variation analogue
machine learning
extreme rainfall analysis
hydrological extremes
multivariate modeling
monsoon
non-stationary
support vector machine
ANN model
stretched Gaussian distribution
drought prediction
non-normality
statistical analysis
extreme precipitation exposure
drought analysis
extreme value theory
streamflow
flood management
ISBN 9783039216659
3039216651
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367749703321
Tabari Hossein  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui