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Pakistan Journal of Biological Sciences
  Year: 2008 | Volume: 11 | Issue: 15 | Page No.: 1893-1900
DOI: 10.3923/pjbs.2008.1893.1900
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Application of IRS-1D Data in Water Erosion Features Detection (Case Study: Nour Roud Catchment, Iran)

K. Solaimani and M.A. Hadian Amri

The aim of this study was capability of Indian Remote Sensing (IRS) data of 1D to detecting erosion features which were created from run-off. In this study, ability of PAN digital data of IRS-1D satellite was evaluated for extraction of erosion features in Nour-roud catchment located in Mazandaran province, Iran, using GIS techniques. Research method has based on supervised digital classification, using MLC algorithm and also visual interpretation, using PMU analysis and then these were evaluated and compared. Results indicated that opposite of digital classification, with overall accuracy 40.02% and kappa coefficient 31.35%, due to low spectral resolution; visual interpretation and classification, due to high spatial resolution (5.8 m), prepared classifying erosion features from this data, so that these features corresponded with the lithology, slope and hydrograph lines using GIS, so closely that one can consider their boundaries overlapped. Also field control showed that this data is relatively fit for using this method in investigation of erosion features and specially, can be applied to identify large erosion features.
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How to cite this article:

K. Solaimani and M.A. Hadian Amri, 2008. Application of IRS-1D Data in Water Erosion Features Detection (Case Study: Nour Roud Catchment, Iran). Pakistan Journal of Biological Sciences, 11: 1893-1900.

DOI: 10.3923/pjbs.2008.1893.1900






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