Land surface temperature anomalies in response to changes in forest cover

Authors : Behnam KHORRAMİ, Orhan GUNDUZ, Nilanchal PATEL, Souad GHOUZLANE, Mohamed NAJJAR

Pages : 149-156

Doi:10.26833/ijeg.549944

View : 7 | Download : 11

Publication Date : 2019-10-01

Article Type : Research Paper

Abstract :Land cover/use changes specially the forest cover changes affect the local surface temperature insert ignore into journalissuearticles values(LST); of the earth. In this study, a combination of remote sensing and GIS techniques was used to scrutinize the interactions between LST anomalies and deforestation in Sardasht County, NW Iran. The land cover/use change layers of the study area were extracted from Landsat satellite imagery based on Binary Encoding classification and change detection technique. The radiometric correction analysis were done for each Landsat image to derive LST map layers. According to the results, a descending trend in forest cover with a total 2560 ha decline in area and an ascending trend of about 4 degrees rise in surface temperature values on both forest and non-forest areas were detected in the study area from 1984 to 2017. The temporal and spatial analysis yielded high rates of reverse temporal correlation insert ignore into journalissuearticles values(-0.81); between forest areas and LST anomalies while the correlation value of 0.76 was found for non-forest areas and LST. The regression analysis of the values confirmed the correlation results to be trustable at 99 percent. It was also found that the deforested areas of the study area correlate with the LST rise spatially with a very high correlation insert ignore into journalissuearticles values(0.98); from which a tangible interaction of the parameters can be inferred.
Keywords : Iran, Land Surface Temperature, Sardasht, Zagros Forest