MONITORING LAND COVER AND ASSESSING RECLAMATION PROCESSES USING SENTINEL-2 DATA: A CASE STUDY OF THE TASHKENT REGION

Abstract

This study investigates land cover dynamics and reclamation processes in the Tashkent region using Sentinel-2 satellite imagery. The region, characterized by diverse land use patterns and environmental challenges, offers a unique context for understanding the impacts of human activities and natural processes on land cover. By employing remote sensing techniques, we processed and analyzed high-resolution multispectral data to classify land cover types and detect changes over time. The analysis revealed key trends in land cover transitions, including urban expansion, agricultural shifts, and vegetation changes. Additionally, the study assessed reclamation efforts, focusing on areas impacted by land degradation, to evaluate the effectiveness of rehabilitation practices. The findings highlight the utility of Sentinel-2 data for detailed environmental monitoring and underscore the importance of data-driven approaches in sustainable land management and regional planning. This research provides valuable insights for policymakers and stakeholders seeking to balance development with environmental conservation in the Tashkent region.