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Phinzi, K.,
Bertalan, L.,
Chakilu, G. G.,
Szabó, S.:
Improving the spatial prediction of topsoil properties in a typical grazing area using multi-season PlanetScope spectral covariates and data mining techniques.
Earth Sci. Inform. 18 (2), 222, 2025.
Q2
Renewable Energy, Sustainability and the Environment
3.
Phinzi, K.,
Szabó, S.:
Predictive machine learning for gully susceptibility modeling with geo?environmental covariates: main drivers, model performance, and computational efciency.
Nat. Hazards. 120, 7211-7244, 2024.
Chakilu, G. G.,
Szegedi, S.,
Túri, Z.,
Phinzi, K.:
The patterns of potential evapotranspiration and seasonal aridity under the change in climate in the upper Blue Nile basin, Ethiopia.
J. Hydrol. 641, 1-12, (article identifier: 131841), 2024.
Phinzi, K.,
Ngetar, N. S.,
Pham, Q. B.,
Chakilu, G. G.,
Szabó, S.:
Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forest.
Earth Sci Inform. 16 (4), 3667-3677, 2023.
Saidi, F. A.,
Phinzi, K.,
Molnár, E.:
Urbanization in Algeria: Toward a More Balanced and Sustainable Urban Network?.
Soc. Sci. 12 (3), 1-19, (article identifier: 174), 2023.
Chakilu, G. G.,
Szegedi, S.,
Túri, Z.,
Phinzi, K.:
Climate change and the response of streamflow of watersheds under the high emission scenario in Lake Tana sub-basin, upper Blue Nile basin, Ethiopia.
J Hydrol-Reg Stud. 42, 1-16, (article identifier: 101175), 2022.
Ebhuoma, O.,
Gebreslasie, M.,
Ngetar, N. S.,
Phinzi, K.,
Bhattacharjee, S.:
Soil Erosion Vulnerability Mapping in Selected Rural Communities of uThukela Catchment, South Africa, Using the Analytic Hierarchy Process.
Earth Syst Environ. 6, 851-864, 2022.
Phinzi, K.,
Abriha, D.,
Szabó, S.:
Classification Efficacy Using K-Fold Cross-Validation and Bootstrapping Resampling Techniques on the Example of Mapping Complex Gully Systems.
Remote Sens. 13 (15), 1-18, (article identifier: 2980), 2021.
Phinzi, K.,
Holb, I.,
Szabó, S.:
Mapping Permanent Gullies in an Agricultural Area Using Satellite Images: Efficacy of Machine Learning Algorithms.
Agronomy-Basel. 11 (2), 1-16, (article identifier: 333), 2021.
Mazeka, B.,
Phinzi, K.,
Sutherland, C.:
Monitoring Changing Land Use-Land Cover Change to Reflect the Impact of Urbanisation on Environmental Assets in Durban, South Africa.
In: Sustainable Urban Futures in Africa / Michael Addaney; Patrick Cobbinah, Routledge, New York, 132-158, 2021. ISBN: 9781003181484
Phinzi, K.,
Ngetar, N. S.,
Ebhuoma, O.:
Soil erosion risk assessment in the Umzintlava catchment (T32E), Eastern Cape, South Africa, using RUSLE and random forest algorithm.
South African Geographical Journal. 103 (2), 139-1624, 2021.
Phinzi, K.,
Ngetar, N. S.,
Ebhuoma, O.,
Szabó, S.:
Comparison of Rusle and Supervised Classification Algorithms for Identifying Erosion-Prone Areas in a Mountainous Rural Landscape.
Carpath. J. Earth Environ. Sci. 15 (2), 405-413, 2020.
Phinzi, K.,
Abriha, D.,
Bertalan, L.,
Holb, I.,
Szabó, S.:
Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach.
ISPRS Int. Geo-Inf. 9 (4), 1-20, (article identifier: 252), 2020.
Phinzi, K.,
Szabó, S.:
NDVI-based land-use/cover change detection in a mountainous heterogeneous landscape.
In: Az elmélet és a gyakorlat találkozása a térinformatikában XI. : theory meets practice in GIS. Szerk.: Molnár Vanda Éva, Debreceni Egyetemi Kiadó, Debrecen, 201-206, 2020. ISBN: 9789633188866
Abriha, D.,
Szabó, L.,
Phinzi, K.,
Szabó, S.:
Városi zöldfelületek osztályozása nagy felbontású PlanetScope és SkySat felvételek alapján.
In: Az elmélet és a gyakorlat találkozása a térinformatikában XI. : Theory meets practice in gis. Szerk.: Molnár Vanda Éva, Debreceni Egyetemi Kiadó, Debrecen, 13-16, 2020. ISBN: 9789633188866
