Spatial assessment of land surface temperature and land use/land cover in Langkawi Island

8th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing

地球科学;计算机科学

Bakar, Suzana Binti Abu^1 ; Pradhan, Biswajeet^1 ; Lay, Usman Salihu^1 ; Abdullahi, Saleh^1

Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia, Serdang, Selangor

43400 UPM, Malaysia^1

关键词: Land surface temperature;    Land use/ land covers;    Land use/land cover;    Maximum accuracies;    Modified Normalized Difference Water Index (MNDWI);    Normalized difference vegetation index;    Normalized differences;    Surface temperatures;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/37/1/012064/pdf
DOI  :  10.1088/1755-1315/37/1/012064

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

This study investigates the relationship between Land Surface Temperature and Land Use/Land Cover in Langkawi Island by using Normalized Difference Vegetation Index (NDVI), Normalized Difference Build-Up Index (NDBI) and Modified Normalized Difference Water Index (MNDWI) qualitatively by using Landsat 7 ETM+ and Landsat 8 (OLI/TIRS) over the period 2002 and 2015. Pixel-based classifiers Maximum Likelihood (MLC) and Support Vector Machine (SVM), has been performed to prepare the Land Use/ Land Cover map (LU/LC) and the result shows that Support Vector Machine (SVM) achieved maximum accuracy with 90% and 90.46% compared to Maximum Likelihood (MLC) classifier with 86.62% and 86.98% respectively. The result revealed that as the impervious surface (built-up /roads) increases, the surface temperature of the area increased. However, land surface temperature decreased in the vegetated areas. Based from the linear regression between LST and NDVI, NDBI and MNDWI, these indices can be used as an indicator to monitor the impact of Land Use/Land Cover on Land Surface Temperature.