Hyperspectral remote sensing is an advanced form of remote sensing technology that captures information about objects on the Earth’s surface by recording electromagnetic radiation in hundreds of narrow and continuous spectral bands. Unlike conventional multispectral remote sensing, which collects data in a few broad spectral bands, hyperspectral sensors provide detailed spectral signatures of materials. These unique signatures help in identifying, mapping, and analyzing different surface features with high accuracy. Hyperspectral remote sensing has become an important tool in various fields due to its ability to detect subtle differences in the physical and chemical properties of objects. One of the major applications of hyperspectral remote sensing is in agriculture. It is widely used for crop identification, monitoring crop health, and assessing vegetation conditions. Hyperspectral data can detect changes in plant pigments, water content, and nutrient levels, allowing early identification of crop stress caused by diseases, pests, or drought. It also helps in precision agriculture by providing information about soil conditions, fertilizer requirements, and crop productivity. Farmers and researchers can use this information to improve crop management practices and increase agricultural efficiency. In environmental monitoring, hyperspectral remote sensing plays a significant role in studying ecosystems and detecting environmental changes. It is used for monitoring forest health, estimating biomass, and identifying forest species. The technology helps in detecting deforestation, forest degradation, and disturbances such as insect attacks and wildfires. It is also useful for monitoring wetlands, coastal