Department of Physical Geography and Geoinformatics

1.

Tóth, T., Szabó, S., Novák, T., Czigány, S., Kocsis, M., Makó, A., Gallai, B., Árvai, M., Mészáros, J., Balog, K.: Better management zoning with elevation than with three soil classifications in a periodically waterlogged plot.
Geoderma Reg. 40, 1-12, (article identifier: 00927), 2025.

doi DEA

Journal metrics:

Q1 Soil Science (2023)

2.

Mukherjee, S., Lázár, I., Szabó, S., Tóthmérész, B., Molnár, V. É., Czédli, H., Simon, E.: Decreased mobility during the COVID-19 Pandemic period considerably improved air quality in Debrecen city, Hungary.
Atmosphere. 16 (2), 1-13, (article identifier: 197), 2025.

doi DEA

Journal metrics:

Q3 Atmospheric Science (2023)

Q2 Environmental Science (miscellaneous) (2023)

3.

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.

doi DEA

Journal metrics:

Q2 Earth and Planetary Sciences (miscellaneous) (2023)

4.

Varol, B., Szabó, S., Topaloğlu, R. H., Aksu, G. A., Sertel, E.: Analysis of the association between image resolution and landscape metrics using multi-sensor LULC maps.
Journal of Environmental Planning and Management. 67 (10), 2281-2302, 2024.

doi DEA WoS Scopus

Journal metrics:

Q1 Environmental Science (miscellaneous) (2023)

Q1 Geography, Planning and Development (2023)

Q1 Fluid Flow and Transfer Processes (2023)

Q1 Management, Monitoring, Policy and Law (2023)

Q1 Water Science and Technology (2023)

5.

Ansari, A. A., Szabó, L.: Analysis of Urbanization in Delhi, India from 1990 to 2023 using Landsat images.
In: Az elmélet és a gyakorlat találkozása a térinformatikában XV. = Theory meets practice in GIS. Szerk.: Abriha-Molnár Vanda Éva, Debreceni Egyetemi Kiadó, Debrecen, 39-42, 2024. ISBN: 9789634906193

DEA

6.

Diószegi, G., Molnár, V. É., Nagy, L. A., Enyedi, P., Török, P., Szabó, S.: A new method for individual treetop detection with low-resolution aerial laser scanned data.
Modeling Earth Systems and Environment. 10, 5225-5240, 2024.

doi DEA WoS Scopus

Journal metrics:

Q1 Agricultural and Biological Sciences (miscellaneous) (2023)

Q2 Computers in Earth Sciences (2023)

Q2 Environmental Science (miscellaneous) (2023)

Q2 Statistics, Probability and Uncertainty (2023)

7.

Szabó, L., Bertalan, L., Szabó, G., Grigorszky, I., Somlyai, I., Dévai, G., Nagy, S. A., Holb, I., Szabó, S.: Aquatic vegetation mapping with UAS-cameras considering phenotypes.
Ecol. Inform. -, (article identifier: 102624), 2024.

doi DEA WoS Scopus

Journal metrics:

Q1 Computational Theory and Mathematics (2023)

Q1 Applied Mathematics (2023)

Q1 Computer Science Applications (2023)

Q1 Ecological Modeling (2023)

Q1 Ecology (2023)

Q1 Ecology, Evolution, Behavior and Systematics (2023)

Q1 Modeling and Simulation (2023)

8.

Antić, N., Kašanin-Grubin, M., Bertalan, L., Gajić, V., Kaluđerović, L., Mijatović, N., Jovančićević, B.: Are volcaniclastics bad enough to make badlands?.
Catena. 246, 1-13, (article identifier: 108448), 2024.

doi DEA

Journal metrics:

D1 Earth-Surface Processes (2023)

9.

Mahanta, A. R., Rawat, K. S., Kumar, N., Szabó, S., Srivastava, P. K., Singh, S. K.: Assessment of multi-source satellite products using hydrological modelling approach.
Phys. Chem. Earth. 133, 1-18, (article identifier: 103507), 2024.

doi DEA WoS Scopus

Journal metrics:

Q2 Geochemistry and Petrology (2023)

Q2 Geophysics (2023)

10.

Mohammed, S., Gill, A. R., Ghosal, K., Al-Dalahmeh, M., Alsafadi, K., Szabó, S., Oláh, J., Alkerdi, A., Ocwa, A., Harsányi, E.: Assessment of the environmental kuznets curve within EU-27: Steps toward environmental sustainability (1990-2019).
Env. Sci. Ecotechnol. 18, 1-13, (article identifier: 100312), 2024.

doi DEA WoS Scopus

Journal metrics:

D1 Environmental Science (miscellaneous) (2023)

D1 Ecology (2023)

D1 Environmental Engineering (2023)

11.

Csorba, P., Jombach, S., Boromisza, Z., Túri, Z., Bánóczki, K., Konkoly-Gyuró, É.: Assessment of the landscape identity through participation in the framework of a landscape character research.
HunGeoBull. 73 (2), 147-163, 2024.

doi DEA WoS Scopus

Journal metrics:

Q2 Agronomy and Crop Science (2023)

D1 Cultural Studies (2023)

Q2 Earth and Planetary Sciences (miscellaneous) (2023)

Q2 Geography, Planning and Development (2023)

12.

Szabó, S., Szabó, G., Bertalan, L.: A távérzékelés földtudományi alkalmazásai: felmérések földön, vízen, levegőben.

DEA

13.

Csorba, P., Bánóczki, K., Kiss, E., Túri, Z.: A Tiszazug tájkarakter-kutatásának földrajzi háttere.
In: Táj, társadalom, kultúra / Kókai Sándor; Csüllög Gábor, Nyíregyházi Egyetem Turizmus és Földrajztudományi Intézet, MTA Társadalomföldrajzi Tudományos Bizottság Történeti Földrajzi Albizottsága, Nyíregyháza, 107-129, 2024. ISBN: 9786156032683

DEA

14.

Szabó, S., Holb, I., Molnár, V. É., Szatmári, G., Singh, S. K., Abriha, D.: Classification Assessment Tool: A program to measure the uncertainty of classification models in terms of class-level metrics.
Appl. Soft. Comput. 155, 1-15, (article identifier: 111468), 2024.

doi DEA WoS Scopus

Journal metrics:

Q1 Software (2023)

15.

Lázár, I., Hadnagy, I., Balázs, B., Bertalan, L., Szegedi, S.: Comparative examinations of wind speed and energy extrapolation methods using remotely sensed data - A case study from Hungary.
Energy Conversion and Management: X. 24, 1-11, (article identifier: 100760), 2024.

doi DEA

Journal metrics:

Q1 Fuel Technology (2023)

Q1 Energy Engineering and Power Technology (2023)

Q1 Renewable Energy, Sustainability and the Environment (2023)

D1 Nuclear Energy and Engineering (2023)

16.

Abdelmajeed, A. E. A., Szabó, S.: Comparing the Capability of Multi- and Hyperspectral Remote Sensing Data in Lithological Mapping Using Machine Learning Algorithms: A Case Study from Sudan.
In: EGU General Assembly 2024, European Geosciences Union, Vienna, EGU24-5443, 2024.

doi DEA

17.

Nagy, L. A., Szabó, S., Burai, P., Bertalan, L.: Correction: Improving Urban Mapping Accuracy: Investigating the Role of Data Acquisition Methods and SfM Processing Modes in UAS-Based Survey Through Explainable AI Metrics.
J. Geovis. Spat. Anal. 8 (1), 1, (article identifier: 18), 2024.

doi DEA WoS Scopus

18.

Antal, G., Szabó, S., Szarvas, P., Pusztahelyi, T., Gáll, J., Holb, I.: Cost-Benefit Analysis of Apple Scab Sanitation Practices for ULO-Stored Apple Fruit in Integrated and Organic Production Systems.
International Journal of Fruit Science. 24 (1), 1-17, 2024.

doi DEA

19.

Likó, S. B., Holb, I., Oláh, V., Burai, P., Szabó, S.: Deep learning-based training data augmentation combined with post-classification improves the classification accuracy for dominant and scattered invasive forest tree species.
Remote Sens Ecol Conserv. 10 (2), 203-219, 2024.

doi DEA WoS Scopus

Journal metrics:

Q1 Computers in Earth Sciences (2023)

D1 Ecology (2023)

D1 Ecology, Evolution, Behavior and Systematics (2023)

Q1 Nature and Landscape Conservation (2023)

20.

Molnár, V. É., Szabó, S., Magura, T., Tóthmérész, B., Abriha, D., Sipos, B., Simon, E.: Environmental impact assessment based on particulate matter, and chlorophyll content of urban trees.
Sci. Rep. 14 (1), 1-8, (article identifier: 19911), 2024.

doi DEA

Journal metrics:

D1 Multidisciplinary (2023)

21.

Kovács, L., Szabó, S., Molnár, T., Molnár, V. É., Szabó, L., Abriha, D.: Erdőterületek fafaj alapú osztályozása hiperspektrális műholdfelvétel felhasználásával.
In: Az elmélet és a gyakorlat találkozása a térinformatikában XV. = Theory meets practice in GIS. Szerk.: Abriha-Molnár Vanda Éva, Debreceni Egyetemi Kiadó, Debrecen, 161-166, 2024. ISBN: 9789634906193

DEA

22.

Bertalan, L., Négyesi, G., Szabó, G., Túri, Z., Szabó, S.: Evaluating the efficacy of multitemporal TLS and UAS surveys for quantifying wind erosion magnitudes of sand dune topography.
In: EGU General Assembly 2024 : GM3.1 : From historical images to modern high resolution topography: methods and applications in geosciences : Posters on site / co-organized by BG2/CR5/GI1/SSS10, European Geosciences Union, Munchen, EGU24-4399, 2023.

doi DEA

23.

Szopos, N. M., Holb, I., Abriha, D., Szabó, S.: Flood risk assessment of a small river with limited available data.
Spat. Inf. Res. 32 (-), 1-14, 2024.

doi DEA WoS Scopus

Journal metrics:

Q2 Computers in Earth Sciences (2023)

Q3 Artificial Intelligence (2023)

Q3 Computer Science Applications (2023)

Q2 Geography, Planning and Development (2023)

24.

Pataki, A., Bertalan, L., Pásztor, L., Nagy, L. A., Abriha, D., Szabó, S.: Globális talajnedvességadatok összehasonlító vizsgálata.
In: Az elmélet és a gyakorlat találkozása a térinformatikában XV. = Theory meets practice in GIS. Szerk.: Abriha-Molnár Vanda Éva, Debreceni Egyetemi Kiadó, Debrecen, 225-230, 2024. ISBN: 9789634906193

DEA

25.

Guamán-Pintado, P., Uuemaa, E., Mejia, D., Szabó, S.: How does air quality reflect the land cover changes: remote sensing approach using Sentinel data.
Environ Monit Assess. 197 (1), 1-16, (article identifier: 73), 2024.

doi DEA WoS Scopus

Journal metrics:

Q2 Environmental Science (miscellaneous) (2023)

Q2 Management, Monitoring, Policy and Law (2023)

Q2 Medicine (miscellaneous) (2023)

Q2 Pollution (2023)

Department of Physical Geography and Geoinformatics

Publication list