Shahram Yousefi khanghah; Damoon Razmjuee; Somayyie Dehdari; Nasim Arman
Abstract
To better managing of rangeland the vegetation map is one of major factors, because plant communities is planning units of rangeland management and vegetation map shows the current status of plant communities. This research was conducted to produce vegetation type's map using Landsat 8 image classification ...
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To better managing of rangeland the vegetation map is one of major factors, because plant communities is planning units of rangeland management and vegetation map shows the current status of plant communities. This research was conducted to produce vegetation type's map using Landsat 8 image classification in Behbahan, Khuzestan province. Rangelands of the study region is warm semi steppe and winter grazing. Geometric correction of satellite image was performed by ground control points with an error of less than one pixel. Atmospheric correction of existing data using the dark object subtraction was done. Field visits for vegetation type's border controlling and sampling training area was conducted. Eight supervised classification algorithms included Parallelepiped (PP), Minimum Distance to mean (MD), Mahalanobis distance (MAH), Maximum Likelihood (ML), Neural Net (NN) and Support Vector Machine (SVM) was performed. The results showed that ML algorithm has the highest overall accuracy (87.5 percent) and kappa (0.867) and PP algorithm has the lowest overall accuracy (67.1 percent) and kappa (0.571). It is suggested that, along with digital methods of classification of satellite images, visual interpretation should be used to clarify the boundary of the obtained vegetation types map.
Azam Tayebi; Mohammad Faraji; Shahram Yousefi khanghah
Abstract
This study with purpose analysis the effect of Maroun՚ dam construction on land use changes using Landsat satellite images taken. For this study two The Landsat satellite image of in 16-year period (1999-2014) and maps Topography was used by applying geometric and atmospheric correction. Then using ...
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This study with purpose analysis the effect of Maroun՚ dam construction on land use changes using Landsat satellite images taken. For this study two The Landsat satellite image of in 16-year period (1999-2014) and maps Topography was used by applying geometric and atmospheric correction. Then using the software ENVI maximum likelihood supervised classification land use map to 7 ClassesRiver, Rangeland , Agriculture, Woodlands and gardens, villages, Palms and Bayer, respectively, with an Kappa coffecient of 75% and 86% were classified . Results classified maps years (1999- 2014) showed that during this period due to dam construction, Agricultural lands, Woodlands and gardens, Village, Palms, Rangeland , increased area and River and Bayer levels was reduced. So by comparing the studing periods of use map, the map changes, represents the maximum land use changes, Agricultural conversion to Rangeland is the equivalent 2875/270 hectares, the lowest changed into Bayer to the village with an area of 0/19 hectares. Overall findings showed that the establishment of Maroon Dam improves the user in the region. Therefore, investigation account the cost of building the dam, construction of the dam has been a lot of positive effects, and in the long run lead to positive economic growth in the region . Changes in cross-river bed also shows that in 1999 the average width bed, 106/10 meters but in 2014 115/89meters and an average of about 7/79 Kilometers been reached. These changes represent a reduction of width and curvature of the river was in 2014.
