A comparison of three different ways for assessing the accuracy of the earth’s surface temperature from the Landsat-8 satellite

• Main Authors: Abbas, Deyaa Uldeen K., George, Loay E.
• Format: Conference Proceeding
• Language: English
• Subjects: Algorithms; Anomalies; Correlation coefficients; Earth surface; Environmental monitoring; Geothermal resources; Land cover; Land surface temperature; Landsat satellites; Remote sensing; Retrieval; Satellite imagery; Spatial resolution; Thermal emission; Thermal imaging; Thermodynamic properties
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0113502

Remote sensing images Landsat 8 are widely used in fields such as exploration of land cover changes, urban islands, environmental monitoring, and retrieval of the Earth’s surface temperature, due to the high spatial resolution of up to 30 meters and continuous coverage of the Earth, and the data are freely available. Landsat 8 contains two thermal image channels, 10 and 11. In particular, the sensor’s thermal emission in band ten (10.60–11.19 µm) shows the ability to monitor temperature changes. Thermal images help to determine the thermal properties of a given area and to discover anomalies in temperature. The locations with high LST are the anomalies showing a high possibility of geothermal resources. In this paper, band 10 was used to retrieve the Earth’s surface temperature using three different algorithms, LST is performed with Artis and Carnahan, (1982) models, Modify the Stefan-Boltzmann and Kirchoff’s Law, mono-window algorithm, respectively. Accordingly, this paper proposed a comparative strategy for the Landsat 8 image in Temperature retrieval methods based on the correlation coefficient. The objective of this study is to compare the results of the three algorithms to obtain the best accuracy in recovering the Earth’s surface temperature. The results indicated that the first and second method gives better matching results than the third method.