Land Surface Temperature Retrieval from Landsat 8 TIRS - Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method

By Xiaolei Yu, Xulin Guo, Zhaocong Wu. Remote Sensing, 2014

786 citations recorded by the source corpus.

Accurate inversion of land surface geo/biophysical variables from remote sensing data for earth observation applications is an essential and challenging topic for the global change research. Land surface temperature (LST) is one of the key parameters in the physics of earth surface processes from local to global scales. The importance of LST is being increasingly recognized and there is a strong interest in developing methodologies to measure LST from the space. Landsat 8 Thermal Infrared Sensor (TIRS) is the newest thermal infrared sensor for the Landsat project, providing two adjacent thermal bands, which has a great benefit for the LST inversion. In this paper, we compared three different approaches for LST inversion from TIRS, including the radiative transfer equation-based method, the split-window algorithm and the single channel method. Four selected energy balance monitoring sites from the Surface Radiation Budget Network (SURFRAD) were used for validation, combining with the MODIS 8 day emissivity product. For the investigated sites and scenes, results show that the LST inverted from the radiative transfer equation-based method using band 10 has the highest accuracy with RMSE lower than 1 K, while the SW algorithm has moderate accuracy and the SC method has the lowest accuracy.

Subfields: Atmospheric Science, Building and Construction, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/069958169e08c6535e0b5582d9f3f20bbceade57

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Aliihsan Sekertekin
2. Stefania Bonafoni
3. M. Kamruzzaman
4. Yan Liu
5. Kaveh Deilami

In Building and Construction

1. Aliihsan Sekertekin
2. Stefania Bonafoni
3. M. Kamruzzaman
4. Yan Liu
5. Kaveh Deilami

In Environmental Engineering

1. Aliihsan Sekertekin
2. Stefania Bonafoni
3. M. Kamruzzaman
4. Yan Liu
5. Kaveh Deilami

Citations in the corpus

• Land Surface Temperature Retrieval from Landsat 5, 7, and 8 over Rural Areas: Assessment of Different Retrieval Algorithms and Emissivity Models and Toolbox Implementation (2020, methodology): “[46] compared RTE, SWA, and SCA methods using Landsat 8 data and their NDVI-based LSE model reported in Section 4.”
• Urban heat island effect: A systematic review of spatio-temporal factors, data, methods, and mitigation measures (2018, methodology): “…shown that ASTER datasets provide more accurate estimation of thermal patterns (Al Kuwari et al., 2016) - i.e. see also (Rozenstein et al., 2014); Yu et al. (2014) 3.3 Methods used to measure spatial changes (including urban growth and land cover changes) Urban growth (and land cover changes) –…”
• Urban Land Use Land Cover Changes and Their Effect on Land Surface Temperature: Case Study Using Dohuk City in the Kurdistan Region of Iraq (2017, background): “LST information on regional and global scales is obtained by thermal infrared (TIR) remote sensing; it is a unique approach as sensors in this spectral region detect the energy that is emitted directly from the land surface [25].”