Remote Sensing of Hydro-Meteorology

• Autore: Lee Joo-Heon
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 online resource (154 p.)
• Soggetto topico: History of engineering and technology; Technology: general issues
• Soggetto non controllato: agricultural drought; Bayesian principal component analysis (BPCA); China; El Niño-Southern Oscillation; El Niño-Southern Oscillation (ENSO); error propagation; extreme precipitation index; fuzzy C-means clustering; genetic programming; Huai River Basin; hydrological drought; hydrological modeling; Indian Ocean Dipole (IOD); Indian Ocean Dipole mode; integrated drought monitoring; intentional statistical simulation; KGE; linear trend; meteorological drought; MODIS chlorophyll-a; monsoon-climate watershed; multiple polynomial regression; mutual information; non-stationarity of seasonal precipitation; PERSIANN-CDR; prediction; rainfall variability; remote sensing; satellite-based precipitation; sentinel-2A MSI; singular spectrum analysis; spatial downscaling; statistical model; statistical simulation; typhoon-induced rainfall
• Persona (resp. second.): KimJong-Suk; JungYoung Hun; SurChanyang; LeeJoo-Heon
• Sommario/riassunto: Flood/drought, risk management, and policy: decision-making under uncertainty. Hydrometeorological extremes and their impact on human-environment systems. Regional and nonstationary frequency analysis of extreme events. Detection and prediction of hydrometeorological extremes with observational and model-based approaches. Vulnerability and impact assessment for adaptation to climate change.
• Titolo autorizzato: Remote Sensing of Hydro-Meteorology
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910566458603321
• Lo trovi qui: Univ. Federico II