Improving Flood Detection and Monitoring through Remote Sensing |
Autore | Refice Alberto |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (158 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
Soggetto non controllato |
mobile mapping system
RRI model high-water marks inundation Northern Kyushu floods point clouds flood mapping temporary flooded vegetation (TFV) Sentinel-1 time series data Synthetic Aperture Radar (SAR) sentinel-1 SAR flood image classification clustering monsoon Philippines LiDAR geometric parameters levee stability overtopping Pearl River Delta CYGNSS flood detection Sistan and Baluchestan GNSS-R flood monitoring ALOS 2 multi-sensor integration multi-temporal inundation analysis Zambesi-Shire river basin image processing hydrology synthetic aperture radar |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910585942203321 |
Refice Alberto
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Statistical Analysis and Stochastic Modelling of Hydrological Extremes |
Autore | Tabari Hossein |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (294 p.) |
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 | 3-03921-665-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910367749703321 |
Tabari Hossein
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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