ANALYSIS OF LAND COVER (LULC) DYNAMICS OF A SPECIFIC AREA BASED ON GIS AND REMOTE SENSING TECHNOLOGIES
Keywords:
Keywords: Land use and land cover (LULC); GIS; Remote sensing; Change detection; Spatial analysis; Environmental management; Machine learning; Sustainable land useAbstract
Abstract: Land use and land cover (LULC) changes represent a critical
challenge for sustainable environmental management, urban planning, and ecosystem
conservation under conditions of rapid population growth and socio-economic
transformation. This article provides a comprehensive analysis of LULC dynamics
within a specific geographic area based on the integration of Geographic Information
Systems (GIS) and remote sensing technologies. The study synthesizes recent scientific
literature to examine methodological approaches, data sources, and analytical
techniques used for detecting and monitoring spatial and temporal land cover changes.
Particular emphasis is placed on the application of multi-temporal satellite imagery,
high-resolution data, and advanced classification methods, including machine learning
algorithms, to improve accuracy and interpretability of LULC assessments. The review
also highlights the influence of socio-economic drivers, policy decisions, and climatic
factors on land use transformations, emphasizing the need for interdisciplinary and
localized case studies. The findings demonstrate that GIS and remote sensing provide
robust and efficient tools for understanding complex land cover dynamics and support
evidence-based decision-making for sustainable land management. The article
concludes by identifying existing research gaps and proposing directions for future
studies that integrate technological innovation with socio-environmental perspectives.
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