The objective of this research was to determine the best model and compare performances in terms of producing landuse maps from six supervised classification algorithms. As a result, different algorithms such as the minimum distance ofmean (MDM), Mahalanobis distance (MD), maximum likelihood (ML), artificial neural network (ANN), spectral anglemapper (SAM), and support vector machine (SVM) were...

the complexity of urban systems in our recent world, make it difficult to evaluation and explanation of their changes with traditional and customarily methods. in the past, remote sensing has shown an ability to detect and describe urban growth patterns at different spatial scales. with new remote sensing devices (e.g. ikonos), with innovative image processing techniques and with further develo...

heavy metals in high concentrations in soils are potential health risk for humans, animals, and plants. soil samples were collected in five replicates from 20 points with four land use including: roads, refineries, residential area (sadra town), and farmland. heavy metals were determined using flame atomic absorption (analyticjena), while dtpa was chosen as trace elements extractor. in this stu...

the mahabad river watershed has been exposed to severe erosion as a result of landuse change. the aim of this study is to quantify the amount of sediment yield and the relationship between land use change and slope. different sources such as geologic and topographic maps, satellite images, hydrometric as well as meteorological data were used to extract and gather the information needed for this...

Land degradation is a major danger which restricting different areas of Iran. Systematic description of the environmentfor detection of environmental changes and the human-related causes and responses is essential in land cover changestudy. Use of land cover data allow detection of where certain changes occur, what type of change, as well as how theland is changing. Existing systems for classif...