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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| Format: | Book Chapter |
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Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Online Access: | Get Fullteks DOAB: description of the publication |
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| LEADER | 04013naaaa2201105uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_76637 | ||
| 005 | 20220111 | ||
| 020 | |a books978-3-0365-1427-7 | ||
| 020 | |a 9783036514284 | ||
| 020 | |a 9783036514277 | ||
| 024 | 7 | |a 10.3390/books978-3-0365-1427-7 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 072 | 7 | |a TQ |2 bicssc | |
| 100 | 1 | |a Sánchez, Juan Manuel |4 edt | |
| 700 | 1 | |a Coll, César |4 edt | |
| 700 | 1 | |a Niclòs, Raquel |4 edt | |
| 700 | 1 | |a Sánchez, Juan Manuel |4 oth | |
| 700 | 1 | |a Coll, César |4 oth | |
| 700 | 1 | |a Niclòs, Raquel |4 oth | |
| 245 | 1 | 0 | |a Remote Sensing Monitoring of Land Surface Temperature (LST) |
| 260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
| 300 | |a 1 electronic resource (337 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Environmental science, engineering & technology |2 bicssc | |
| 653 | |a Land Surface Temperature (LST) | ||
| 653 | |a satellite retrievals of LST | ||
| 653 | |a LST from GOES satellites | ||
| 653 | |a land surface temperature | ||
| 653 | |a drones | ||
| 653 | |a unmanned aerial vehicles | ||
| 653 | |a thermal remote sensing | ||
| 653 | |a MODIS | ||
| 653 | |a Bayesian Maximum Entropy | ||
| 653 | |a interpolation | ||
| 653 | |a Himalaya | ||
| 653 | |a air temperature | ||
| 653 | |a topography | ||
| 653 | |a Landsat | ||
| 653 | |a split window algorithm | ||
| 653 | |a TIRS | ||
| 653 | |a thermal | ||
| 653 | |a Landsat 8 | ||
| 653 | |a stray light correction | ||
| 653 | |a split-window algorithm | ||
| 653 | |a single-channel algorithm | ||
| 653 | |a AMSR2 | ||
| 653 | |a annual cycle parameters | ||
| 653 | |a random forest | ||
| 653 | |a cloudy sky LST | ||
| 653 | |a evapotranspiration | ||
| 653 | |a data fusion | ||
| 653 | |a field-scale | ||
| 653 | |a machine-learning | ||
| 653 | |a physical model | ||
| 653 | |a Sentinel-2 | ||
| 653 | |a Sentinel-3 | ||
| 653 | |a Downscaling | ||
| 653 | |a thermal infrared | ||
| 653 | |a disaggregation | ||
| 653 | |a Copernicus | ||
| 653 | |a hyperspectral thermal infrared | ||
| 653 | |a spectral smoothness | ||
| 653 | |a temperature-emissivity separation | ||
| 653 | |a sensitivity analysis | ||
| 653 | |a noise | ||
| 653 | |a land surface temperature (LST) | ||
| 653 | |a daytime LST | ||
| 653 | |a nighttime LST | ||
| 653 | |a validation | ||
| 653 | |a land surface emissivity (LSE) | ||
| 653 | |a single channel algorithm | ||
| 653 | |a radiative transfer equation | ||
| 653 | |a mono window algorithm | ||
| 653 | |a SURFRAD data | ||
| 653 | |a GK2A | ||
| 653 | |a split-window method | ||
| 653 | |a BSRN | ||
| 653 | |a LST | ||
| 653 | |a downscaling | ||
| 653 | |a LSA-SAF | ||
| 653 | |a Sentinel 2 | ||
| 653 | |a DEM | ||
| 653 | |a spatial averaging biases | ||
| 653 | |a land surface emissivity | ||
| 653 | |a measurement uncertainties | ||
| 653 | |a emissivity box method | ||
| 653 | |a Fourier transform infrared spectrometer | ||
| 653 | |a portable spectrometer | ||
| 653 | |a n/a | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/4084 |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/76637 |7 0 |z DOAB: description of the publication |