| The assessment of water-borne erosion at catchment level using GIS-based RUSLE and remote sensing: A review K Phinzi, NS Ngetar International Soil and Water Conservation Research 7 (1), 27-46, 2019 | 212 | 2019 |
| Machine learning for gully feature extraction based on a pan-sharpened multispectral image: Multiclass vs. Binary approach K Phinzi, D Abriha, L Bertalan, I Holb, S Szabó ISPRS International Journal of Geo-Information 9 (4), 252, 2020 | 47 | 2020 |
| Mapping soil erosion in a quaternary catchment in Eastern Cape using geographic information system and remote sensing K Phinzi, NS Ngetar South African Journal of Geomatics 6 (1), 11-29, 2017 | 41 | 2017 |
| Soil erosion risk assessment in the Umzintlava catchment (T32E), Eastern Cape, South Africa, using RUSLE and random forest algorithm K Phinzi, NS Ngetar, O Ebhuoma South African Geographical Journal 103 (2), 139-162, 2020 | 39 | 2020 |
| Classification efficacy using k-fold cross-validation and bootstrapping resampling techniques on the example of mapping complex gully systems K Phinzi, D Abriha, S Szabó Remote Sensing 13 (15), 2980, 2021 | 25 | 2021 |
| Land use/land cover dynamics and soil erosion in the Umzintlava catchment (T32E), Eastern Cape, South Africa K Phinzi, NS Ngetar Transactions of the Royal Society of South Africa 74 (3), 223-237, 2019 | 24 | 2019 |
| Mapping permanent gullies in an agricultural area using satellite images: efficacy of machine learning algorithms K Phinzi, I Holb, S Szabó Agronomy 11 (2), 333, 2021 | 20 | 2021 |
| Climate change and the response of streamflow of watersheds under the high emission scenario in Lake Tana sub-basin, upper Blue Nile basin, Ethiopia GG Chakilu, S Sándor, T Zoltán, K Phinzi Journal of Hydrology: Regional Studies 42, 101175, 2022 | 15 | 2022 |
| The assessment of water-borne erosion at catchment level using GIS-based RUSLE and remote sensing: A review. International Soil and Water Conservation Research, 7 (1), 27–46 K Phinzi, NS Ngetar ISSN, 2019 | 15 | 2019 |
| Soil erosion vulnerability mapping in selected rural communities of uThukela catchment, South Africa, using the analytic hierarchy process O Ebhuoma, M Gebreslasie, NS Ngetar, K Phinzi, S Bhattacharjee Earth Systems and Environment 6 (4), 851-864, 2022 | 9 | 2022 |
| The assessment of water-borne erosion at catchment level using GIS-based RUSLE and remote sensing: A review. Int Soil Water Conserv Res 7 (1): 27–46 K Phinzi, NS Ngetar | 7 | 2019 |
| Urban vegetation classification with high-resolution PlanetScope and SkySat multispectral imagery L Szabó, D Abriha, K Phinzi, S Szabó Acta Geographica Debrecina Landscape & Environment series 15 (1), 66-75, 2021 | 6 | 2021 |
| Comparison of Rusle and Supervised Classification Algorithms for Identifying Erosion-Prone Areas in a Mountainous Rural Landscape. K Phinzi, NS Ngetar, O Ebhuoma, S Szabo Earth Environ. Sci 15 (2), 405-413, 2020 | 6 | 2020 |
| Spatio-temporal appraisal of water-borne erosion using optical remote sensing and GIS in the Umzintlava catchment (T32E), Eastern Cape, South Africa K Phinzi University of KwaZulu-Natal, Westville, 2018 | 6 | 2018 |
| Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forest K Phinzi, NS Ngetar, QB Pham, GG Chakilu, S Szabó Earth Science Informatics 16 (4), 3667-3677, 2023 | 5 | 2023 |
| Monitoring Changing Land Use-Land Cover Change to Reflect the Impact of Urbanisation on Environmental Assets in Durban, South Africa B Mazeka, K Phinzi, C Sutherland Sustainable Urban Futures in Africa, 132-158, 2021 | 4 | 2021 |
| Drought Monitoring Using Moderate Resolution Imaging Spectroradiometer-Derived NDVI Anomalies in Northern Algeria from 2011 to 2022 R Benhizia, K Phinzi, F Hateffard, H Aib, G Szabó Environments 11 (5), 95, 2024 | | 2024 |
| Predictive machine learning for gully susceptibility modeling with geo-environmental covariates: main drivers, model performance, and computational efficiency K Phinzi, S Szabó Natural Hazards, 1-34, 2024 | | 2024 |
| Urbanization in Algeria: Toward a More Balanced and Sustainable Urban Network? FA Saidi, K Phinzi, E Molnár Social Sciences 12 (3), 174, 2023 | | 2023 |
| Supervised machine learning for gully mapping and modeling using low-cost, high-resolution sensors and open-source geospatial data in a semi-arid environment K Phinzi University of Debrecen, 2023 | | 2023 |
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