| EVALUATION LAND SURFACE TEMPERATURE VARIATION USING DIFFERENT SENSORS OF LANDSAT SATELLITE (CASE STUDY: HAMEDAN) |
| Paper ID : 1183-SMPR |
| Authors: |
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Morteza Heidari Mozaffar *1, Ronak Ghanbari2, Arastu Zarei3 1Assistance professor at BuALI Sina University, Hamedan, Iran 2BuALI Sina University, Hamedan, Iran 3Universiyu of tehran, college of engineering school of surveying and geospatial engineering. Tehran. IRAN |
| Abstract: |
| One of the parameters measured by satellite sensors is land surface temperature, which plays a great role in environmental studies and earth science. In recent years there has been a great fluctuation in the LST, that in turn has brought about much effect on human habitats and activities. In this research, the temperature variation trend was analyzed and evaluated using the single- Channel and Split-Window algorithm on the data of TM, and OLI sensors from 2001 to 2018 in Hamedan, Iran. first the radiometric correction of initial images were carried out .Then, single- Channel and Split-Window algorithms were implemented, the temperature variation analyzed from the images of different years .Accordingly, different parameters such as NDVI index, Brightness Temperature and other effective indicators in the estimation of the LST were calculated .Finally, The LST in the study area was obtained using SC algorithm for TM sensor of Landsat satellite 5 and SW algorithm for the images of OLI sensor of Landsat satellite 8 . The results show that the relative increase of temperature, from 2001 to 2018, led to the reduction of vegetation in some parts of the study area. Also, the data of meteorological stations in the area were compared with the temperatures from these methods for the time of image collection. The results of evaluation show that the calculated land surface temperature from remote sensing method were of great confidence and reliability in estimating the LST. |
| Keywords: |
| Remote Sensing, Land Surface Temperature (LST), Split-Window Algorithm (SW), Single-Channel Algorithm (SC) |
| Status : Paper Accepted (Poster Presentation) |
