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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 online resource (337 p.) |
| Soggetto topico | Environmental science, engineering & technology |
| Soggetto non controllato |
air temperature
AMSR2 annual cycle parameters Bayesian Maximum Entropy BSRN cloudy sky LST Copernicus data fusion daytime LST DEM disaggregation downscaling Downscaling drones emissivity box method evapotranspiration field-scale Fourier transform infrared spectrometer GK2A Himalaya hyperspectral thermal infrared interpolation land surface emissivity land surface emissivity (LSE) land surface temperature land surface temperature (LST) Land Surface Temperature (LST) Landsat Landsat 8 LSA-SAF LST LST from GOES satellites machine-learning measurement uncertainties MODIS mono window algorithm n/a nighttime LST noise physical model portable spectrometer radiative transfer equation random forest satellite retrievals of LST sensitivity analysis Sentinel 2 Sentinel-2 Sentinel-3 single channel algorithm single-channel algorithm spatial averaging biases spectral smoothness split window algorithm split-window algorithm split-window method stray light correction SURFRAD data temperature-emissivity separation thermal thermal infrared thermal remote sensing TIRS topography unmanned aerial vehicles validation |
| 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) / Pradeep Wagle, Prasanna Gowda
| Remote Sensing of Evapotranspiration (ET) / Pradeep Wagle, Prasanna Gowda |
| Autore | Wagle Pradeep |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (240 p.) |
| Soggetto topico | Biotechnology |
| 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 |
9783039216031
3039216031 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367754003321 |
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Wagle Pradeep
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||