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      • Open Access Article

        1 - Determining the optimal method for classification and mapping of land use/land cover through comparison of artificial neural network and support vector machine algorithms using satellite data (Case study: International Hamoun wetland)
        amir houshang ehsani Mojtaba Shakeryari
        Background and Objective: Images classification is one of the important techniques for interpretation of satellite images that is widely used in survey of earth changes. In the meantime, satellite data has been recognized as the best tool for detection and evaluation of More
        Background and Objective: Images classification is one of the important techniques for interpretation of satellite images that is widely used in survey of earth changes. In the meantime, satellite data has been recognized as the best tool for detection and evaluation of changes due to its update information, low costs and variety of forms. Therefore, land use/land cover map is one of the most important information required by the environmental managers and planners. On the other hand, in recent years, artificial neural network method has been used widely for the classification of satellite data. The aim of this study is to compare three different methods for land cover classification using 2014 OLI image over a 26-year period. Method: In this study, digital data of OLI (2014) sensor was used in order to optimize image classification method. Initially, the image was corrected in terms of geometry and radiometry in the ENVI software. Then IDRISI software was used for image classification using three different methods: fuzzy artmap, multilayer perceptron artificial neural networks and support vector machine. Finally, land cover maps were classified into five categories: water, vegetation, canebrake, barren lands and saline lands. To evaluate accuracy with the help of user accuracy, producer accuracy, overall accuracy, kappa coefficient and error matrix, the created map was compared with the ground reality map created by GPS, Google Earth images and field observations. Discussion and Conclusion: The results of image accuracy evaluation showed that among the applied methods the fuzzy artmap algorithm had the highest accuracy in classification of satellite data with an overall accuracy of 94.68 and kappa coefficient of 0.91 compared to both multilayer perceptron artificial algorithm with an overall accuracy of 92.99 and kappa coefficient of 0.89 and support vector machine with an overall accuracy of 90.93 and kappa coefficient of 0.85. This study showed that classification of fuzzy artmap artificial neural network algorithm has a high capability to create the land cover map with high accuracy. Manuscript profile
      • Open Access Article

        2 - Study on soil properties at various depths of Hamoun ecosystem to creative tourism ‎environment ‎
        Mansour Jahantigh
        The aim of this research was Study on soil chemical and physical properties at various ‎depths of Hamoun wetland soil ecosystem causes in recent decade floods. In this research soil ‎samples were taken from the 0-5, 5-50, 50-75 and 75-100 cm depth at each locati More
        The aim of this research was Study on soil chemical and physical properties at various ‎depths of Hamoun wetland soil ecosystem causes in recent decade floods. In this research soil ‎samples were taken from the 0-5, 5-50, 50-75 and 75-100 cm depth at each location, and analyzed ‎for pH, EC, ESP, CaCO3, organic mater, organic carbon, potassium, nitrogen, phosphorus, SAR, ‎SP, calcium and texture. The data was organized and entered into Statistical Package for Social ‎Sciences (SPSS) software version 20.0 for windows. The data shows that pH, EC, ESP, CaCO3, ‎organic mater, organic carbon, potassium, nitrogen, phosphorus, SAR, SP, calcium and clay has ‎been indirectly relationship with depth. The relationships between this parameters and soil depth ‎has significantly in 1% level (P Manuscript profile
      • Open Access Article

        3 - The Study of the Morphometric-Meristic Characters, Diet and Fecundity Indices of Anjak Fish (Schizocypris brucei) in Hamoun Wetlands of Iran
        روح الله عباسپور ابوالفتح علی پور جواد مسگران کریمی مهرزاد محمدی
        Schizocypris bruceibelongs to the family Cyprinidae is economic and native in the region of Sistan. In the reproductive season (April 2009), 36 number anjak fish in Hamoun Wetlands and Zabul were analyzed. After catching with fixed net the fish and transferred to the la More
        Schizocypris bruceibelongs to the family Cyprinidae is economic and native in the region of Sistan. In the reproductive season (April 2009), 36 number anjak fish in Hamoun Wetlands and Zabul were analyzed. After catching with fixed net the fish and transferred to the laboratory after biometric, morphometric - meristic characters, Fecundity and diet were determined. According to the results, average standard length was 15/4andplusmn; 1/70 cm (12/9-19/5cm) Average lateral line scales of 92/1 andplusmn; 8/95 (76-113), body weight of 55/5andplusmn; 14/45 g (38/4-87/4 g), average total length of 18/5andplusmn; 1/99 cm ( 15/4-23/5 cm), ovarian weight 2/43andplusmn; 2/18 (0/51-6/91 g), the absolute fecundity 4332/26andplusmn; 3316/67 (1966/96-14077/4 number of eggs ), egg diameter, 0/83andplusmn; 0/21 mm (0/6-1.25 mm), average relative fecundity 69/83andplusmn;43/37 (45/67-190/38), index average length of intestine in body length 7/00andplusmn;1/39 (4/76-9/24), index the average growth rate 876/5andplusmn;115/87 (647/5-1101/7) and index colon weight to total weight of fish, 0/06andplusmn; 0/028(0/03-0/135). Also pull out the digestive tract of fish, food eaten were identified. According to the results obtained in all cases, spiral intestine of food remnants being degraded and was undetectable and the combined sludge and residue formed. Thus, according to a survey conducted diet of fish was vegetarian. Overall, little difference between the minimum and maximum total length represent the total weight of fish in this lifetime is very low and the low reproductive age shows. Manuscript profile