Estimating land surface temperature in ArcGIS using Landsat-8, Hoshangabad district, (Madhya Pradesh)

Abstract

Landsat surface temperature (LST) can be applied for finding Global Warming, vegetation suitability, glacier, urban heat temperature monitoring and many more. Landsat 8 with a payload of new instrument called the Thermal Infrared Sensors (TIRS).This devices captures the Earth’s surface radiation through two bands, band 10 and band 11. The main purpose of this paper is to automate the surface temperature mapping through various ArcGIS geoprocessing tools in this paper we perform Land surface temperature estimation using SPLIT-WINDOW algorithm on Landsat 8 TIRS (Thermal Infrared Sensor) and OLI (Operational Land Imager) Sensor dataset of Hoshangabad District. Thermal Infrared Remote Sensor exhibit two thermal Bands 10 and 11.SPLIT- WINDOW algorithm require brightness temperature value of both band 10 and 11 as well as land surface emissivity calculated from OLI bands (NIR AND RED) for estimation of land surface temperature. 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 North-Western side of the study area have the highest temperature values.