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Arsalan Ahmed Othman
Researcher at Freiberg University of Mining and Technology
Publications - 29
Citations - 479
Arsalan Ahmed Othman is an academic researcher from Freiberg University of Mining and Technology. The author has contributed to research in topics: Land cover & Environmental science. The author has an hindex of 10, co-authored 23 publications receiving 311 citations. Previous affiliations of Arsalan Ahmed Othman include Helmholtz-Zentrum Dresden-Rossendorf.
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Improving Lithological Mapping by SVM Classification of Spectral and Morphological Features: The Discovery of a New Chromite Body in the Mawat Ophiolite Complex (Kurdistan, NE Iraq)
TL;DR: The SAM and SVM methods applied on ASTER satellite data show that these can be used as a powerful tool to explore ore deposits and to further improve lithological mapping in mountainous semi-arid regions.
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Drainage network extraction and morphometric analysis using remote sensing and GIS mapping techniques (Lesser Zab River Basin, Iraq and Iran)
Younus I. Al-Saady,Qusay A. Al-Suhail,Balsam Salim Al-Tawash,Arsalan Ahmed Othman,Arsalan Ahmed Othman +4 more
TL;DR: In this paper, the authors presented a study to estimate the erodibility and flash flood hazard of the Lesser Zab River Basin (LZRB) and highlighted sub-basins that should be prioritized for conservation and flood risk schemes.
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Integration of spectral, spatial and morphometric data into lithological mapping: A comparison of different Machine Learning Algorithms in the Kurdistan Region, NE Iraq
TL;DR: In this paper, the authors evaluated the performance of different supervised classification approaches using remote sensing data and the use of additional information such as geomorphology, and highlighted the improvement of remote sensing geological classification by integrating geomorphic features and spatial information in the classification scheme.
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River Courses Affected by Landslides and Implications for Hazard Assessment: A High Resolution Remote Sensing Case Study in NE Iraq–W Iran
TL;DR: Test the potential of rivers to record the intensity of landslides that affected their courses and the analysis of selected river courses may give some information on the sizes of the past landslide events and therefore contribute to the hazard assessment.
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Automatic Extraction and Size Distribution of Landslides in Kurdistan Region, NE Iraq
TL;DR: The cumulative landslide number-size distribution of automatically extracted landslide is very similar to the one based on visual mapping, and the automatic extraction is adapted for the quantitative analysis of landslides and thus can contribute to the assessment of hazards in similar regions.