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Extreme Value Theory with Applications to Natural Hazards : From Statistical Theory to Industrial Practice / Nicolas Bousquet, Pietro Bernardara editors
Extreme Value Theory with Applications to Natural Hazards : From Statistical Theory to Industrial Practice / Nicolas Bousquet, Pietro Bernardara editors
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xxii, 481 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
86-XX - Geophysics [MSC 2020]
60G70 - Extreme value theory; extremal stochastic processes [MSC 2020]
62P12 - Applications of statistics to environmental and related topics [MSC 2020]
Soggetto non controllato Cumulated hazards
Downscaling
Extreme Floods
Extreme Temperature
Extreme value statistics
Historical data
Maritime Storm
Meteorology
Natural Hazards
Non-stationarity and climate change
Nonstationarity
Probabilistic modelling
Risk analysis
Stochastic and numerical modelling
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0274738
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Extreme Value Theory with Applications to Natural Hazards : From Statistical Theory to Industrial Practice / Nicolas Bousquet, Pietro Bernardara editors
Extreme Value Theory with Applications to Natural Hazards : From Statistical Theory to Industrial Practice / Nicolas Bousquet, Pietro Bernardara editors
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xxii, 481 p. : ill. ; 24 cm
Soggetto topico 60G70 - Extreme value theory; extremal stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020]
62P12 - Applications of statistics to environmental and related topics [MSC 2020]
86-XX - Geophysics [MSC 2020]
Soggetto non controllato Cumulated hazards
Downscaling
Extreme Floods
Extreme Temperature
Extreme value statistics
Historical data
Maritime Storm
Meteorology
Natural Hazards
Non-stationarity and climate change
Nonstationarity
Probabilistic modelling
Risk analysis
Stochastic and numerical modelling
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00274738
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Remote Sensing Monitoring of Land Surface Temperature (LST)
Remote Sensing Monitoring of Land Surface Temperature (LST)
Autore Sánchez Juan Manuel
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (337 p.)
Soggetto topico Environmental science, engineering & technology
Soggetto non controllato Land Surface Temperature (LST)
satellite retrievals of LST
LST from GOES satellites
land surface temperature
drones
unmanned aerial vehicles
thermal remote sensing
MODIS
Bayesian Maximum Entropy
interpolation
Himalaya
air temperature
topography
Landsat
split window algorithm
TIRS
thermal
Landsat 8
stray light correction
split-window algorithm
single-channel algorithm
AMSR2
annual cycle parameters
random forest
cloudy sky LST
evapotranspiration
data fusion
field-scale
machine-learning
physical model
Sentinel-2
Sentinel-3
Downscaling
thermal infrared
disaggregation
Copernicus
hyperspectral thermal infrared
spectral smoothness
temperature-emissivity separation
sensitivity analysis
noise
land surface temperature (LST)
daytime LST
nighttime LST
validation
land surface emissivity (LSE)
single channel algorithm
radiative transfer equation
mono window algorithm
SURFRAD data
GK2A
split-window method
BSRN
LST
downscaling
LSA-SAF
Sentinel 2
DEM
spatial averaging biases
land surface emissivity
measurement uncertainties
emissivity box method
Fourier transform infrared spectrometer
portable spectrometer
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Remote Sensing Monitoring of Land Surface Temperature
Record Nr. UNINA-9910557522303321
Sánchez Juan Manuel  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui