A Temperature and Emissivity Separation Algorithm for Landsat-8 Thermal Infrared Sensor DataReport as inadecuate




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1

Southeast University, School of Transportation, No.2, Sipailou Road, Nanjing 210096, China

2

Chinese Academy of Sciences, Nanjing Institute of Geography and Limnology, Key Laboratory of Watershed Geographic Sciences, No.73, East Beijing Road, Nanjing 210008, China





*

Authors to whom correspondence should be addressed.



Academic Editors: Ruiliang Pu, Richard Müller and Prasad S. Thenkabail

Abstract On-board the Landsat-8 satellite, the Thermal Infrared Sensor TIRS, which has two adjacent thermal channels centered roughly at 10.9 and 12.0 μm, has a great benefit for the land surface temperature LST retrieval. The single-channel algorithm SC and split-window algorithm SW have been applied to retrieve the LST from TIRS data, which need the land surface emissivity LSE as prior knowledge. Due to the big challenge of determining the LSE, this study develops a temperature and emissivity separation algorithm which can simultaneously retrieve the LST and LSE. Based on the laboratory emissivity spectrum data, the minimum-maximum emissivity difference module MMD module for TIRS data is developed. Then, an emissivity log difference method ELD method is developed to maintain the emissivity spectrum shape in the iterative process, which is based on the modified Wien’s approximation. Simulation results show that the root-mean-square-errors RMSEs are below 0.7 K for the LST and below 0.015 for the LSE. Based on the SURFRAD ground measurements, further evaluation demonstrates that the average absolute error of the LST is about 1.7 K, which indicated that the algorithm is capable of retrieving the LST and LSE simultaneously from TIRS data with fairly good results. View Full-Text

Keywords: Landsat-8; TIRS; land surface temperature LST; land surface emissivity LSE; minimum-maximum emissivity difference method MMD method; emissivity log difference method ELD method; MODTRAN; SURFRAD Landsat-8; TIRS; land surface temperature LST; land surface emissivity LSE; minimum-maximum emissivity difference method MMD method; emissivity log difference method ELD method; MODTRAN; SURFRAD





Author: Songhan Wang 1,* , Longhua He 2,* and Wusheng Hu 1

Source: http://mdpi.com/



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