INTEGRATING REMOTE SENSING TECHNOLOGIES FOR ENHANCED LAND RESOURCE MANAGEMENT IN SURKHANDARYA REGION

Abstract

The sustainable management of land resources is critical for regional development, especially in regions experiencing rapid land use changes. Surkhandarya, a region characterized by diverse landscapes and land use patterns, faces challenges related to land degradation, deforestation, and urban expansion. Remote sensing technologies—satellite imagery, drone surveys, and Geographic Information Systems (GIS)—offer powerful tools for monitoring, analyzing, and managing land resources effectively. This study explores the integration of remote sensing methods into land resource management practices in Surkhandarya. By analyzing satellite data, conducting field validation, and developing GIS-based maps, this research demonstrates how remote sensing enhances land cover classification, detects land degradation, and informs sustainable land use planning. The results indicate significant improvements in data accuracy and decision-making capacity, with clear implications for policy and practice. The study concludes with recommendations for scaling remote sensing applications across the region.