| Statistical Relationship between Normalized Difference Vegetation Index and Land Surface Temperature using LANDSAT-8 Satellite Remote Sensing Data |
| Paper ID : 1030-SMPR |
| Authors: |
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Aysar Jameel Abdalkadhum * Department of Hydraulic Structures Engineering, Water Resources Engineering College, Al-Qasim Green University, Babylon, Iraq. |
| Abstract: |
| ABSTRACT Vegetation coverage is a major factor influencing on the land surface temperature (LST).Thermal remote sensing data are a part of the electromagnetic spectrum and considered the best observations of land surface temperature. Nowadays there are many remote sensing satellites providing thermal data. In this study, LANDSAT-8 Operational Line Imager and Thermal Infrared Sensor (OLI & TIRS) satellite data with several temporal periods in 2018 such as the 18th of March, the 24th of July and the 31th of December were used to retrieve LST .The Normalized Difference Vegetation Index NDVI was calculated in the same period. The correlation and regression coefficient between NDVI and LST was found in urban and agricultural areas in the study area. The main objective of this study is to verify the relationship between NDVI and LST and prepare LST mapping to estimating land surface temperature and compare with the related environmental phenomena conditions. The study showed an inverse relationship between NDVI and LST, where dense vegetation cover was less temperature than urban areas and areas with young crops (wheat and barley).Remote sensing multi temporal satellite data when combine with an image processing technique will support for estimate land surface temperature, normalized vegetation index and preferably used for an empirical data report from the Iraqi Meteorological Organization and Seismology (IMOAS) ground based observation data. |
| Keywords: |
| Keywords: Landsat-8(OLI-TIRS); LST; NDVI; Image Processing; correlation and regression coefficient |
| Status : Paper Accepted (Poster Presentation) |
