Forest Loss or Stability? A Binary Analysis of Land Cover in Ferizaj (1985–2025)
Session
Management Business and Economics
Description
Monitoring land cover change over time is crucial for understanding environmental transformations and planning sustainable land use. This study aims to evaluate the dynamics of mountainous areas in the Ferizaj region of Kosovo from 1985 to 2025. A binary classification method is applied to distinguish between "forest" and "non-forest" areas using satellite imagery and the Random Forest classifier in the Google Earth Engine platform. The focus is on detecting long-term trends related to forest degradation or stability. This research contributes to the development of scalable methodologies for land cover monitoring and provides a foundation for future environmental assessments in mountainous regions.
Keywords:
Land cover change, Google Earth Engine, Random Forest
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-982-41-2
Location
UBT Lipjan, Kosovo
Start Date
25-10-2025 9:00 AM
End Date
26-10-2025 6:00 PM
DOI
10.33107/ubt-ic.2025.395
Recommended Citation
Zariqi, Pajtim and Halounova, Lena, "Forest Loss or Stability? A Binary Analysis of Land Cover in Ferizaj (1985–2025)" (2025). UBT International Conference. 10.
https://knowledgecenter.ubt-uni.net/conference/2025UBTIC/MBE/10
Forest Loss or Stability? A Binary Analysis of Land Cover in Ferizaj (1985–2025)
UBT Lipjan, Kosovo
Monitoring land cover change over time is crucial for understanding environmental transformations and planning sustainable land use. This study aims to evaluate the dynamics of mountainous areas in the Ferizaj region of Kosovo from 1985 to 2025. A binary classification method is applied to distinguish between "forest" and "non-forest" areas using satellite imagery and the Random Forest classifier in the Google Earth Engine platform. The focus is on detecting long-term trends related to forest degradation or stability. This research contributes to the development of scalable methodologies for land cover monitoring and provides a foundation for future environmental assessments in mountainous regions.
