Automatic Surface Temperature Mapping in ArcGIS using Landsat-8 TIRS and ENVI Tools, Case Study: Al Habbaniyah Lake

Abstract

Recently, monitoring environmental conditions and natural resources are the focus of attention of most of engineers and cartographers. Remote sensing satellites have helped the researchers in these tasks. The new instrument which called Thermal Infrared Sensor (TIRS) carried on board of the new generation of Landsat satellites. This instrument captures the temperature of the Earth’s surface in two bands, band 10 and band 11. This paper aimed to automate the surface temperature map production for Al Habbaniyah Lake using image processing algorithms and ArcGIS geoprocessing tools. The two bands 10 and 11 of Landsat-8 TIRS data are used in this study. In addition, supervised classification is also used for extracting the boundary of the study area.

The results of the presented model showed the ability of ArcGIS software with the integration of ENVI tools on automating complex maps production processes with high accuracy and fast. The study also showed that there is a difference between the temperature values that has calculated from band 10 and band 11. From the resulted maps, the temperature of the NW region of the study area have had the highest temperature values.

Keywords: Al Habbaniyah Lake, Geographic Information System, Landsat 8, TIRS, ENVI, ArcGIS