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Land Surface Temperature Retrieval Methods From Landsat-8 Thermal Infrared Sensor Data

Bibliographic Data

ID23314840
AuthorsJuan C Jiménez‐muñoz (0000-0001-7562-4895, Universitat de València), Juan C Jimenez-Munoz, José A Sobrino (0000-0003-3787-9373, Universitat de València), Dražen Skoković (Universitat de València), Cristian Mattar (0000-0002-9941-2309, Universidad de Santiago de Chile), Jordi Cristóbal (0000-0001-6244-4289, University of Alaska Fairbanks)
Year2014
Volume11
Issue10
Pages1840-1843
Publication date2014-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueIEEE Geoscience and Remote Sensing Letters (JOURNAL)
Journal identifiersISSN: 1545-598X • E-ISSN: 1558-0571
PublisherInstitute of Electrical and Electronics Engineers (IEEE) (PUBLISHER)
DOI10.1109/lgrs.2014.2312032
OpenAlexW2067542652
LanguageEN
Citations received68
References cited15

The importance of land surface temperature (LST) retrieved from high to medium spatial resolution remote sensing data for many environmental studies, particularly the applications related to water resources management over agricultural sites, was a key factor for the final decision of including a thermal infrared (TIR) instrument on board the Landsat Data Continuity Mission or Landsat-8. This new TIR sensor (TIRS) includes two TIR bands in the atmospheric window between 10 and 12 μm, thus allowing the application of split-window (SW) algorithms in addition to single-channel (SC) algorithms or direct inversions of the radiative transfer equation used in previous sensors on board the Landsat platforms, with only one TIR band. In this letter, we propose SC and SW algorithms to be applied to Landsat-8 TIRS data for LST retrieval. Algorithms were tested with simulated data obtained from forward simulations using atmospheric profile databases and emissivity spectra extracted from spectral libraries. Results show mean errors typically below 1.5 K for both SC and SW algorithms, with slightly better results for the SW algorithm than for the SC algorithm with increasing atmospheric water vapor contents.

Atmospheric correction · Atmospheric radiative transfer codes · Emissivity · Image resolution · Infrared · Infrared window · Optics · Physics · Radiative transfer · Reflectivity · Remote sensing · Spectral bands · Thermal infrared · Artificial Intelligence · Climate change and permafrost · Computer Science · Environmental Science · Geology · Remote Sensing and Land Use · Urban Heat Island Mitigation

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Unique citing works68
Citations per year5,67
Citation span2014 - 2026 (13)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 63

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