Document Type : Research Paper
Authors
1 -
2 Assistance professor
Abstract
The rapid growth of cities and the process of industrialization have caused many environmental problems in many parts of the world. It is very important for planners and managers to be aware of the changes in land cover and land use over long periods of time in order to evaluate and predict the problems caused by these changes. Remote sensing is an effective tool for monitoring land cover changes in urban areas and its surroundings. The city of Tehran has expanded a lot in the last few decades due to the growth and migration of people and has left many effects on the surrounding environment. The purpose of this research is to present a model based on the decision tree algorithm for classifying and monitoring land use changes using TM and MSS sensor images in the west of Tehran between 1975 and 2011.Based on the findings of this research, the overall classification accuracy for 2011 is 81.27%. Also, the results of the monitoring of changes showed that the density of the constructed spaces during the period of 36 years has a positive and increasing trend, and after that other lands have been decreasing. The density of construction spaces in 1975 with an area of 2166.48 hectares, which is equal to 7.71%, has reached 8125.56 hectares, which is 28.93% in 2011. In total, the percentage of its relative changes is 21.22%, equivalent to 5959.08 hectares.
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