Development of Land Surface Temperature Retrieval Algorithm from Landsat 8 TIRS and Long-Term In-Situ Data

Waleed Rizq Hizam

Department of Geomatics Engineering, Faculty of Civil Engineering and Planning, Institut Teknologi Sepuluh Nopember, Indonesia

Abstract: Land surface temperature (LST) is one of the most important parameter in the physic of the Earth’s surface through the process of power and exchange of land and water with atmosphere. The Thermal Infrared Sensor (TIRS) is a new instrument carried onboard the Landsat satellite that is dedicated for capturing temperature specific information. The study included a real-time field work performed during the overpass of Landsat-8 TIRS satellite on many intervals started on 22/10/2015 over Institute Technology Sepuluh of November (ITS) in city of Surabaya, Indonesia. The main purpose of this paper to develop Land surface temperature retrieval algorithm from Landsat 8 using long-term in-situ to estimate multitemporal Land surface temperature (LST) changes by using satellite remote sensing data. The developed algorithm showed a good performance of the LST algorithm with coefficient of determination (R2) was above 0.6 and the validation of algorithm based on band 11 Linear achieved a good performance that has the high accuracy with RMSE ≤ 1 it was 0.692 and coefficient (R2) was 0.9308.

Key words: remote sensing, temperature, long-term, TIRS