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Name： |
Vahid Khosravi |
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Nation： |
Iran |
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Organization： |
Czech University of Life Sciences, Prague, Czech Republic |
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Email: |
khosravi@af.czu.cz |
Contribution：
His main research interest is the study of the impact of mining on water and soil in mining areas and surrounding areas, mainly using remote sensing and digital image processing methods. To do this, he has been trying to leverage the latest technologies such as time series analysis, programming, data science/artificial intelligence, and machine learning. These efforts have resulted in several papers published in prestigious related journals, such as Geodesy, Environmental Pollution, and Total Environmental Science. In addition to his academic contributions, he has worked with a number of mining companies in the country as a project coordinator and project supervisor for the exploration of mineral resources.
Featured Publications：
1. Pouladi, N., Gholizadeh, A., Khosravi, V. and Borůvka, L., 2023. Digital mapping of soil organic carbon using remote sensing data: A systematic review. CATENA, 232, p.107409.
2. Khosravi, V., Gholizadeh, A., Agyeman, P.C., Ardejani, F.D., Yousefi, S. and Saberioon, M., 2023. Further to quantification of content, can reflectance spectroscopy determine the speciation of cobalt and nickel on a mine waste dump surface?. Science of The Total Environment, 872, p.161996.
3. Agyeman, P.C., Borůvka, L., Kebonye, N.M., Khosravi, V., John, K., Drabek, O. and Tejnecky, V., 2023. Prediction of the concentration of cadmium in agricultural soil in the Czech Republic using legacy data, preferential sampling, Sentinel-2, Landsat-8, and ensemble models. Journal of Environmental Management, 330, p.117194.
4. Agyeman, P.C., Kebonye, N.M., Khosravi, V., Kingsley, J., Borůvka, L., Vašát, R. and Boateng, C.M., 2023. Optimal zinc level and uncertainty quantification in agricultural soils via visible near-infrared reflectance and soil chemical properties. Journal of Environmental Management, 326, p.116701.
5. Agyeman, P.C., Kingsley, J., Kebonye, N.M., Khosravi, V., Borůvka, L. and Vašát, R., 2023. Prediction of the concentration of antimony in agricultural soil using data fusion, terrain attributes combined with regression Kriging. Environmental Pollution, 316, p.120697.
