Author: Dr. Meena Sharma, Rohit Kapoor.
Abstract: Hyperspectral remote sensing (HRS) has emerged as a transformative technology in environmental monitoring, offering unprecedented spectral detail and the capability to detect, identify, and quantify Earth surface materials and processes. With hundreds of narrow spectral bands, HRS enables precise discrimination of vegetation species, detection of subtle changes in water quality, and monitoring of soil contamination. Recent advancements in satellite and airborne platforms, coupled with sophisticated data processing algorithms, have expanded the scope of applications in environmental management, disaster assessment, and climate change studies. This paper reviews advanced applications of hyperspectral remote sensing in environmental monitoring, emphasizing case studies in vegetation health assessment, water pollution detection, and mineral mapping. Challenges related to data volume, atmospheric correction, and integration with other geospatial datasets are discussed, along with future research directions aimed at operationalizing hyperspectral data for real-time environmental decision-making.
Keywords: : Hyperspectral Remote Sensing, Environmental Monitoring, Vegetation Health, Water Pollution, Mineral Mapping
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