Comparison Spatial Pattern of Land Surface Temperature with Mono Window Algorithm and Split Window Algorithm: A Case Study in South Tangerang, Indonesia

Tasya Bunai, Rokhmatuloh, Adi Wibowo

Research output: Contribution to journalConference article

Abstract

In this paper, two methods to retrieve the Land Surface Temperature (LST) from thermal infrared data supplied by band 10 and 11 of the Thermal Infrared Sensor (TIRS) onboard the Landsat 8 is compared. The first is mono window algorithm developed by Qin et al. and the second is split window algorithm by Rozenstein et al. The purpose of this study is to perform the spatial distribution of land surface temperature, as well as to determine more accurate algorithm for retrieving land surface temperature by calculated root mean square error (RMSE). Finally, we present comparison the spatial distribution of land surface temperature by both of algorithm, and more accurate algorithm is split window algorithm refers to the root mean square error (RMSE) is 7.69° C.

Original languageEnglish
Article number012066
JournalIOP Conference Series: Earth and Environmental Science
Volume149
Issue number1
DOIs
Publication statusPublished - 16 May 2018
Event4th International Symposium on LAPAN-IPB Satellite for Food Security and Environmental Monitoring 2017, LISAT-FSEM 2017 - Bogor, Indonesia
Duration: 9 Oct 201711 Oct 2017

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