Abstract
The accuracy of land surface temperatures (LSTs) acquired by an unmanned aerial vehicle (UAV) was verified by comparison with in-situ LSTs of various land cover materials at the Changwon National University Campus, Changwon City, South Korea. UAV imaging and in-situ measurements were performed on 31 July and 2 August 2019. During the in-situ measurements, LST was measured at 160 points using an infrared thermometer. The linear regression model between the UAV and in-situ measurements exhibited a very high correlation on both days, with R2 values greater than 0.7004. The root mean square error (RMSE), however, was 4.030 °C on 31 July and 5.446 °C on 2 August and it also varied depending on the land cover type. These results may depend on various factors, such as the field of view and performance of the TIR (Thermal infrared radiance) camera, as well as the weather and atmospheric conditions. Accurately diagnosing the thermal characteristics of urban areas based on the spatial elements can be used to accurately analyze the thermal characteristics of urban areas and to make effective policy decisions. Techniques for verifying and improving the accuracy of UAV TIR LST data for various land cover materials are required to enable precise investigation of the thermal characteristics of urban areas.
Highlights
Urban areas are subjected to thermal stresses, such as heat waves and tropical nights, due to the urban heat island (UHI) phenomenon, in which urban areas are hotter than surrounding suburban areas
The accuracy of the land surface temperatures (LSTs) acquired from a unmanned aerial vehicle (UAV) Thermal infrared (TIR) camera was verified in a university campus area featuring various land cover materials
The UAV TIR LSTs were compared with in-situ LSTs for 160 measurement points on two dates (31 July and 2 August)
Summary
Urban areas are subjected to thermal stresses, such as heat waves and tropical nights, due to the urban heat island (UHI) phenomenon, in which urban areas are hotter than surrounding suburban areas. Thermal infrared (TIR) satellite images can be used to monitor UHI on a large scale and analyze time-series changes because they can periodically acquire LST data over large areas [6,7,8,9]. They can analyze LST characteristics based on their spatial patterns, and can be useful in identifying the distribution of the UHI resulting from urban development [10,11]. Studies have been actively conducted using unmanned aerial vehicles (UAVs)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
