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Amin Beiranvand Pour
Researcher at Universiti Malaysia Terengganu
Publications - 163
Citations - 4067
Amin Beiranvand Pour is an academic researcher from Universiti Malaysia Terengganu. The author has contributed to research in topics: Advanced Spaceborne Thermal Emission and Reflection Radiometer & Geology. The author has an hindex of 32, co-authored 142 publications receiving 2662 citations. Previous affiliations of Amin Beiranvand Pour include Universiti Teknologi Malaysia & Korean Ocean Research and Development Institute.
Papers
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Landsat-7 and ASTER remote sensing satellite imagery for identification of iron skarn mineralization in metamorphic regions
Hooman Moradpour,Ghodratollah Rostami Paydar,Amin Beiranvand Pour,Khalil Valizadeh Kamran,Bakhtiar Feizizadeh,Aidy M. Muslim,Mohammad Shawkat Hossain +6 more
TL;DR: The use of satellite remote sensing imagery for mineral exploration is a fast and low-cost approach for indicating high potential zones Exploration of iron skarn mineralization in metamorphic regi
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An Overview of Household Energy Consumption and Carbon Dioxide Emissions in Iran
Omeid Rahmani,Shahabaldin Rezania,Amin Beiranvand Pour,Shahram M. Aminpour,Mohammad Reza Soltani,Yousef Ghaderpour,Bahareh Oryani +6 more
TL;DR: In this paper, a review of the methods used in household energy consumption and carbon dioxide (CO2) emissions in Iran is presented, which can help policymakers to focus on renewable energy projects and mitigate CO2 emissions.
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Integration of remote sensing, gravity and geochemical data for exploration of Cu-mineralization in Alwar basin, Rajasthan, India
Shovan Lal Chattoraj,Gokul Prasad,Richa U. Sharma,P. K. Champati Ray,Freek D. van der Meer,Arindam Guha,Amin Beiranvand Pour +6 more
TL;DR: The importance of remote sensing in mineral exploration is established to zero in on potentially ore rich but unexplored zones to identify few additional potential areas of mineralization.
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Thermal sharpening of land surface temperature maps based on the impervious surface index with the TsHARP method to ASTER satellite data: A case study from the metropolitan Kuala Lumpur, Malaysia
TL;DR: In this paper, an adaptive thermal sharpening (TsHARP) algorithm was proposed to downscale LST by utilizing impervious surface (IS) index in urban areas, which achieved superior results compared to the traditional methods of over urban imagery particularly for environments with heterogeneous land covers.
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Land-Use Suitability Assessment Using Delphi and Analytical Hierarchy Process (D-AHP) Hybrid Model for Coastal City Management: Kuala Terengganu, Peninsular Malaysia
Milad Bagheri,Zelina Zaiton Ibrahim,Shattri Mansor,Latifah Abd Manaf,Mohd Fadzil Akhir,Wan Izatul Asma Wan Talaat,Amin Beiranvand Pour +6 more
TL;DR: In this article, the Delphi and Analytical Hierarchy Process (D-AHP) hybrid model and Geographic Information System (GIS) technique for coastal land-use assessment (CLUA) are mapped to detect the most suitable and unsuitable areas in the Kuala Terengganu coastal zone.