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 | ||
|
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 | ||
|
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 | ||
|