Assessing Vegetation and Soil Conditions in the Ruschita Marble Quarry Using Drone-Based Multispectral Remote Sensing

This study proposes using drone-based multispectral remote sensing technology to assess vegetation health and soil conditions in the Ruschita Marble Quarry. The research aims to evaluate land degradation, soil erosion patterns, and vegetation coverage in the quarry area through multispectral imaging and post-processing in Agrowing Multispectral Software. The methodology involves deploying drones equipped with multispectral sensors to capture data across multiple spectral bands, enabling detailed analysis of vegetation health indices, soil surface characteristics, and erosion patterns. Vegetation Indices (VI) are derived directly from multispectral imagery, while high-resolution terrain mapping is performed to identify topographical features influencing erosion and vegetation recovery. This approach provides valuable insights for quarry restoration management by showcasing the potential of advanced remote sensing technologies in environmental monitoring, contributing to the development of sustainable quarry management practices and helping identify areas requiring intervention.