عنوان مقاله [English]
Detection of changes in landuse, including the use of multi-time data set to determine the areas where have been had landuse and land cover change detection in various dates. Applying of remote sensing as a repeatable, commodious and available instrument is one of the newest method in this context. The images are used in this research received from the Landsat sattelite and its ETM sensor in order to investigate landuse changes in Dezful area with special attention to changes in agricultural land between 2002 and 2010. After preprocessing the images and classification to product two Landsue maps of two dates, each of them are collected in grades nine categories and also each landuse class is assigned a code of 1 to 9. In order to compare the nine landuse classes from 2002 to 2010 the LMM )Lanuse Multiplcation Matrix(model is used. Using the matrix elements, as a result of multiplying older landuse map to number by 10 and then sum that to recent map, the conversion rate of landuses to others are determined. The results indicate that in some areas have been converted to agricultural land in favor, but the total area of irrigated agricultural lands are decreasing. The greatest reduction of agricultural land was to wasteland with 3857 hectares. In the next place, there is the waterway with of 2238 hectares.