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

4th International Symposium on LAPAN-IPB Satellite for Food Security and Environmental Monitoring

农业科学;生态环境科学

Bunai, Tasya^1 ; Rokhmatuloh^1 ; Wibowo, Adi^1

Department of Geography, Faculty of Mathematcs and Natural Science, Universitas Indonesia, Kampus UI Depok, Depok

16424, Indonesia^1

关键词: AND splits;    Land surface temperature;    Mono-window algorithms;    Root mean square errors;    Spatial patterns;    Split window algorithms;    Thermal infrared data;    Thermal infrared sensors;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/149/1/012066/pdf
DOI  :  10.1088/1755-1315/149/1/012066

来源: IOP

【 摘 要 】

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.