Mahmuod Ahmadi; Mahdi Narangifard
Volume 13, Issue 2 , July 2015, , Pages 111-120
Abstract
Timely and accurate detection of changes in surface features, to better understand the relationships and interactions between human and natural phenomena, the right decision is very important in urban management. To Detection these changes widely in recent decades, satellite data have been used as primary ...
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Timely and accurate detection of changes in surface features, to better understand the relationships and interactions between human and natural phenomena, the right decision is very important in urban management. To Detection these changes widely in recent decades, satellite data have been used as primary sources. This study examines the use of vegetation changes and their impact on temperature patterns in a time period of 25 years within the city of Shiraz one area is made. LANDSAT satellite TM sensor data for the two series on 1986/10/7 and 2011/10/7 ERDAS IMAGINE 9.2 software selection and use land surface temperature (LST) And vegetation indices as a supervised classification algorithm with the maximum likelihood was obtained for urban. The findings showed that over the period of 4 and 63/8 km2 for the loss of vegetation and barren land and 17/13 km2 from the city for the area has been increased. Most lowly the level of the class is very strong vegetation and the greatest increase in of the level is barren. The findings also reveal for changes occurring with temperature patterns and changed most of the distribution is temperature ranges.
