asoul Tukieh; Heeva Elmizadeh
Abstract
This study used Satellite image processing and GIS to identify and analyze spatial changes and quantify the change in water area of Zarivar Lake in northwestern Marivan. Using satellite imagery to extract information about lake water changes and land use changes, especially in identifying changes between ...
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This study used Satellite image processing and GIS to identify and analyze spatial changes and quantify the change in water area of Zarivar Lake in northwestern Marivan. Using satellite imagery to extract information about lake water changes and land use changes, especially in identifying changes between several different time periods, is faster and more accurate than other methods. This research is based on SVM classification and Landsat satellite image processing of SS, TM and OLI sensors for 1987, 2000, 2010 and 2020 in ENVI software environment. The results showed that the SVM technique works well in identifying and extracting land use and water areas adjacent to vegetation and soil from satellite images. Due to its non-parametric nature and the assumption that it does not follow the normal distribution, this algorithm has a high resolution in differentiating the water area from the plant and soil. So that favorable conditions for classification have been monitored and the identification and detection of water area has been assigned to itself. It also showed high efficiency in areas with low vegetation. According to the research results, the use of SVM technique indicated that the applications have grown a lot in the period under review. This unmanaged development has reduced the lake's water level. As with the growth of these uses, the water level of the lake has been declining. According to the research results, it is suggested that any user development near the lake should be done with full supervision. It is also one of the basic strategies for the protection of the lake and its integrated management.