| Autore: |
SaÌnchez Juan Manuel
|
| Titolo: |
Remote Sensing Monitoring of Land Surface Temperature (LST)
|
| Pubblicazione: |
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica: |
1 online resource (337 p.) |
| Soggetto topico: |
Environmental science, engineering & technology |
| |
Environmental science, engineering and 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 |
| Persona (resp. second.): |
CollCeÌsar |
| |
NicloÌsRaquel |
| |
SaÌnchezJuan Manuel |
| Sommario/riassunto: |
This book is a collection of recent developments, methodologies, calibration and validation techniques, and applications of thermal remote sensing data and derived products from UAV-based, aerial, and satellite remote sensing. A set of 15 papers written by a total of 70 authors was selected for this book. The published papers cover a wide range of topics, which can be classified in five groups: algorithms, calibration and validation techniques, improvements in long-term consistency in satellite LST, downscaling of LST, and LST applications and land surface emissivity research. |
| Altri titoli varianti: |
Remote Sensing Monitoring of Land Surface Temperature |
| Titolo autorizzato: |
Remote Sensing Monitoring of Land Surface Temperature (LST)  |
| Formato: |
Materiale a stampa  |
| Livello bibliografico |
Monografia |
| Lingua di pubblicazione: |
Inglese |
| Record Nr.: | 9910557522303321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: |
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