1887
PDF

Abstract

Summary

This study investigates land use and land cover (LULC) changes in the northern Ivano-Frankivsk region of Ukraine between 2017 and 2024 using Sentinel-2 satellite data. Sentinel-2 Level-2A surface-reflectance imagery was processed into seasonally consistent composites and spectral indices, and wall-to-wall classifications for 2017 and 2024 were produced using a Support Vector Machine classifier with independent accuracy assessment. Post-classification comparison yielded spatially explicit transition maps and identified persistent change hotspots across the study area. The outputs reveal broad areas of stable cover alongside spatially structured processes, including conversions between cultivated land, fallow/grassland and successional vegetation, as well as localized peri-urban expansion. Implications for regional monitoring, land-management prioritisation and targeted field verification are discussed. The study is expected to be of interest to specialists in remote sensing, regional planning and landscape change assessment in heterogeneous foothill environments.

EAGE Publications BV © 2025 The Authors © European Association of Geoscientists and Engineers
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202552002
2025-10-06
2026-01-17

  • From This Site

    /content/papers/10.3997/2214-4609.202552002
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

/deliver/fulltext/2214-4609/2025/geoterrace-2025/GeoTerrace-2025-002.html?itemId=/content/papers/10.3997/2214-4609.202552002&mimeType=html&fmt=ahah

References

  1. Ivano-Frankivska oblasna derzhavna administratsiia. (2021). Stratehiia rozvytku Ivano-Frankivskoi oblasti na 2021–2027 roky. https://www.if.gov.ua/strategiya-rozvitku-ivano-frankivskoyi-oblasti
     [Google Scholar]
  2. Belenok, V., Hebryn-Baidy, L., Bielousova, N., Gladilin, V., Kryachok, S., Tereshchenko, A.,… & Bodnar, S. (2023). Machine learning based combinatorial analysis for land use and land cover assessment in Kyiv City (Ukraine). Journal of Applied Remote Sensing, 17(1), 014506. https://doi.org/10.1117/1.JRS.17.014506
     [Google Scholar]
  3. Benhammou, Y., Alcaraz-Segura, D., Guirado, E., Khaldi, R., Achchab, B., Herrera, F., & Tabik, S. (2022). Sentinel2GlobalLULC: A Sentinel-2 RGB image tile dataset for global land use/cover mapping with deep learning. Scientific Data, 9, Article 681. https://doi.org/10.1038/s41597-022-01850-1
     [Google Scholar]
  4. Drusch, M., Del Bello, U., Carlier, S., Colin, O., Fernandez, V., Gascon, F., … & Bargellini, P. (2012). Sentinel-2: ESA's optical high-resolution mission for GMES operational services. Remote Sensing of Environment, 120, 25–36. https://doi.org/10.1016/j.rse.2011.11.026
     [Google Scholar]
  5. Hebryn-Baidy, L., & Rees, G. (2024). Machine learning algorithms evaluated for urban land use and land cover classification using Sentinel 2 data. Red, 10, 664–665.
     [Google Scholar]
  6. Immitzer, M., Vuolo, F., & Atzberger, C. (2016). First experience with Sentinel-2 data for crop and tree species classifications in Central Europe. Remote Sensing, 8(3), 166. https://doi.org/10.3390/rs8030166
     [Google Scholar]
  7. Zahriichuk, L., & Lozynskyy, R. (2024, October). Application of spatial analysis tools in the ArcGIS environment for the analysis of urban settlement networks (In the example of the Ivano-Frankivsk region of Ukraine). In International Conference of Young Professionals «GeoTerrace-2024» (Vol. 2024, No. 1, pp. 1–5). European Association of Geoscientists & Engineers.
     [Google Scholar]
  8. Pyvovar, P. V., Topolnytskyi, P. P., Skydan, O. V., & Yanchevskyi, S. L. (2023). GIS-based land-use/land cover change analysis: A case study of Zhytomyr region, Ukraine. Kosmichna nauka i tekhnolohiia, 29(4), 024–042.
     [Google Scholar]
/content/papers/10.3997/2214-4609.202552002
Loading
Monitoring Land Use and Land Cover with Sentinel-2 Data: A Case Study of Northern Ivano-Frankivsk Region, Ukraine (2017–2024)
Conference Proceedings 2025, 1 (2025); https://doi.org/10.3997/2214-4609.202552002
/content/papers/10.3997/2214-4609.202552002
/content/papers/10.3997/2214-4609.202552002
Loading

Data & Media loading...

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error