9th International Conference on ICT for Sustainable Development

Authors - S. Sudharsan, R. Hemalatha, K.Gowtham, S.Guru Prasadh, J. Johannes Shelson
Abstract - Mineral mapping using spectral reflectance analysis has emerged as a powerful tool in geological exploration, environmental monitoring, and resource management. This abstract provides an overview of recent advancements in the field, highlighting the significance of spectral reflectance techniques in identifying and characterizing mineral compositions remotely. Spectral reflectance analysis utilizes the unique spectral signatures minerals exhibit in response to electromagnetic radiation. We infer valuable information about the mineral composition in a given area by analyzing the reflectance patterns across different wavelengths. This remote sensing approach has revolutionized mineral exploration, enabling cost-effective and efficient surveying over large, inaccessible terrains. Spectral unmixing algorithms and machine learning techniques further improve the discrimination of mineral assemblages, even in complex geological settings. Environmental monitoring and landuse planning benefit from the ability to detect and monitor mineralogical changes associated with natural processes or human activities. For instance, identifying alteration minerals can indicate potential environmental impacts from mining operations. In conclusion, mineral mapping using spectral reflectance analysis offers a versatile and robust approach to understanding earth's surface composition and dynamics. Continued advancements in sensor technology, data analytics, and interdisciplinary collaboration hold promise for further enhancing spectral reflectance techniques accuracy, efficiency, and applicability in diverse fields ranging from geology to planetary science.