Research output per year
Research output per year
Personal profile
Contact Information
Phone: 419-372-7201
Office: 181 Overman Hall
Related documents
Education/Academic qualification
PhD, University of Idaho
1998 → 2002
MS, Oregon State University
1994 → 1996
BS, Ss. Cyril and Methodius University in Skopje
1986 → 1992
Research Interests
- GIScience Analysis Methods, Spatial Statistics, and Data Mining
- GIS Multicriteria Decision Analysis & Spatial Decision Support Systems
- Remote Sensing & Photogrammetry
- Airborne Sensor Development
- Landslide Hazard Modeling
- Terrain and Watershed Analysis
Disciplines
- Geology
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Multilevel Flood Susceptibility Mapping by Fuzzy Sets, Analytical Hierarchy Process, Weighted Linear Combination and Random Forest
Gorsevski, P. V. & Milevski, I., Apr 2026, In: ISPRS International Journal of Geo-Information. 15, 4, 148.Research output: Contribution to journal › Article › peer-review
Open Access -
Predicted Streamflow Sensitivity to Climate Change Using TOPMODEL with CLIGEN Weather Generator in a Data-Sparse Medium-Sized Mediterranean Watershed
Gorsevski, P. V., Mar 2026, In: Water Resources Management. 40, 4, 152.Research output: Contribution to journal › Article › peer-review
Open Access -
Cloud-Based Assessment of Flash Flood Susceptibility, Peak Runoff, and Peak Discharge on a National Scale with Google Earth Engine (GEE)
Milevski, I., Aleksova, B., Valjarević, A. & Gorsevski, P., Aug 2025, In: Atmosphere. 16, 8, 945.Research output: Contribution to journal › Article › peer-review
Open Access -
Predicting land use land cover changes and impact on urban wetlands using cellular automata and artificial neural networks approach, a case study in Greater Accra, Ghana
Amoah, M. K. M. & Gorsevski, P. V., Jun 2025, In: Scientific African. 28, e02767.Research output: Contribution to journal › Review article › peer-review
Open Access -
A free web-based approach for rainfall-induced landslide susceptibility modeling: Case study of Clearwater National Forest, Idaho, USA
Gorsevski, P. V., Mar 2023, In: Environmental Modelling and Software. 161, 105632.Research output: Contribution to journal › Article › peer-review