Environmental Assessment of Land Use Due to Dust in the Last Three Decades Using Remote Sensing Technique and CA Markov Model Case Study of Ahvaz

One of the environmental problems is the air pollution index, the most important index of which is the volume of suspended particles in the atmosphere, and in the southern and western cities of the country in recent years has increased significantly. The aim of this study was to monitor land use changes due to fine dust in the last three decades using remote sensing and CA-Markov in Ahvaz. The research method was field-analytical. After conducting preliminary studies and preparing appropriate satellite images, they were analyzed and evaluated with different amounts of educational samples and according to ground surveys. The images used were Landsat 7, 5 and 8 satellite images of 2000, 2010 and 2020, respectively. The classification was performed by artificial neural network method and the accuracy of the classification was evaluated and the prediction map of the study area was prepared using the CA-Markov model. The classification results showed that the lands built in 2000 increased from 10637.34 to 10925.76 hectares in 2010 and its area increased to 288.42 hectares. From 2000 to 2010, the green space increased from 1275.41 hectares to 1279.99, ie 58.4 hectares, due to the planting of hand-planted trees during these years to deal with fine dust. These changes have been decreasing from 2010 to 2020 and its area changes have increased from 1279.99 hectares to 1120.49, ie 159.50 area has been reduced.