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Dr. Anwarelsadat Elmahal
Senior RS/GIS Lecturer at University of Khartoum
ESGRS Member
Joined September 13, 2023
Professional Summary
Dr. Anwarelsadat Eltayeb
Is a Sudanese specialist and a senior lecturer in remote sensing, GIS, data science, and their applications in geoscience. With approximately +10 years’ expertise in the academic field, teaching a variety of graduate and undergraduate courses. These courses covered subjects such as remote sensing and GIS applications in hydrology, hydrogeomorphology, open-source GIS, web-GIS, satellite digital image processing, geostatistics, spatial databases, spatial cloud computing, and research methodologies. With +15 years’ experience in UN and international organizations, such as UNICEF, FAO, and the European Commission, as a specialist in information management and GIS and backed by a solid geoscience, data science, and visualization experience. Member of the British Society for Geomorphology and active participant in the society's annual meetings in the UK. With strong knowledge and interest in spatial cloud computing, land use, and land cover changes, and very professional in Google Earth Engine using JavaScript, Python, and RGEE. Has a track record of successful research in digital image processing, LULCC, flood risk, and spatial cloud computing, with publications in leading journals such as Elsevier, IEEE, and Wiley
Is a Sudanese specialist and a senior lecturer in remote sensing, GIS, data science, and their applications in geoscience. With approximately +10 years’ expertise in the academic field, teaching a variety of graduate and undergraduate courses. These courses covered subjects such as remote sensing and GIS applications in hydrology, hydrogeomorphology, open-source GIS, web-GIS, satellite digital image processing, geostatistics, spatial databases, spatial cloud computing, and research methodologies. With +15 years’ experience in UN and international organizations, such as UNICEF, FAO, and the European Commission, as a specialist in information management and GIS and backed by a solid geoscience, data science, and visualization experience. Member of the British Society for Geomorphology and active participant in the society's annual meetings in the UK. With strong knowledge and interest in spatial cloud computing, land use, and land cover changes, and very professional in Google Earth Engine using JavaScript, Python, and RGEE. Has a track record of successful research in digital image processing, LULCC, flood risk, and spatial cloud computing, with publications in leading journals such as Elsevier, IEEE, and Wiley