Remote Sensing Monitoring of Land Surface Temperature (LST)

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...

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Detalhes bibliográficos
Corporate Authors: Sánchez, Juan Manuel, Coll, César, Niclòs, Raquel
Formato: Livro
Idioma:Inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2021
Assuntos:
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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
n/a
Acesso em linha:https://directory.doabooks.org/handle/20.500.12854/76637
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