An improved single-channel method to retrieve land surface temperature from the landsat-8 thermal band
Cristóbal, Jordi (University of Alaska Fairbanks)
Jiménez-Muñoz, Juan C. (Universitat de València)
Prakash, Anupma (University of Alaska Fairbanks)
Mattar, Cristian (Universidad de Aysén)
Skoković, Dražen (Universitat de València)
Sobrino, José A. (Universitat de València)

Data:	2018
Descripció:	14 pàg.
Resum:	Land surface temperature (LST) is one of the sources of input data for modeling land surface processes. The Landsat satellite series is the only operational mission with more than 30 years of archived thermal infrared imagery from which we can retrieve LST. Unfortunately, stray light artifacts were observed in Landsat-8 TIRS data, mostly affecting Band 11, currently making the split-window technique impractical for retrieving surface temperature without requiring atmospheric data. In this study, a single-channel methodology to retrieve surface temperature from Landsat TM and ETM+ was improved to retrieve LST from Landsat-8 TIRS Band 10 using near-surface air temperature (Ta) and integrated atmospheric column water vapor (w) as input data. This improved methodology was parameterized and successfully evaluated with simulated data from a global and robust radiosonde database and validated with in situ data from four flux tower sites under different types of vegetation and snow cover in 44 Landsat-8 scenes. Evaluation results using simulated data showed that the inclusion of Ta together with w within a single-channel scheme improves LST retrieval, yielding lower errors and less bias than models based only on w. The new proposed LST retrieval model, developed with both w and Ta, yielded overall errors on the order of 1 K and a bias of -0. 5 K validated against in situ data, providing a better performance than other models parameterized using w and Ta or only w models that yielded higher error and bias.
Nota:	Jordi Cristòbal és professor del Departament de Geografia de la Universitat Autònoma de Barcelona
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Atmospheric correction ; Land surface temperature ; Landsat-8 ; TIRS
Publicat a:	Remote sensing (Basel), Vol. 10 Núm. 3 (2018) , article number 431, ISSN 2072-4292

DOI: 10.3390/rs10030431

14 p, 4.0 MB

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