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Remote Sensing Monitoring of Land Surface Temperature (LST)
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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.
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Keywords
- air temperature
- AMSR2
- annual cycle parameters
- Bayesian Maximum Entropy
- BSRN
- cloudy sky LST
- Copernicus
- Data fusion
- daytime LST
- DEM
- disaggregation
- downscaling
- drones
- emissivity box method
- Environmental science, engineering & technology
- 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)
- 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
- Technology, engineering, agriculture
- temperature-emissivity separation
- thermal
- thermal infrared
- thermal remote sensing
- TIRS
- topography
- unmanned aerial vehicles
- Validation
Links
DOI: 10.3390/books978-3-0365-1427-7Editions