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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
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Evapotranspiration (ET)
| Remote Sensing of Evapotranspiration (ET) |
| Autore | Gowda Prasanna |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (240 p.) |
| Soggetto non controllato |
Eddy-covariance
surface energy balance model evapotranspiration Oklahoma Mesonet Chi river basin SADFAET a stratification method ecosystem management process-based model heterogeneous conditions land surface temperature ETMonitor model latent heat flux multi-source water resources management remote sensing ET fusion Google Earth Engine water stress component temperature decomposition data fusion Mun river basin Murrumbidgee River catchment remote-sensing Thailand uncertainty field-scale partition land surface model two-source energy balance model Surface Energy Balance System China evapotranspiration partitioning yield calibration unmixing-based method Landsat 8 eddy covariance observations METRIC MODIS surface energy balance algorithm for land (SEBAL) West Africa MPDI-integrated SEBS STARFM multi-source satellite data |
| ISBN | 3-03921-603-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Remote Sensing of Evapotranspiration |
| Record Nr. | UNINA-9910367754003321 |
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Gowda Prasanna
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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