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This camera can identify chemical composition and materials, surface variations, and detect processes invisible to the naked eye. A hyperspectral camera sees a broader range of wavelengths extending beyond near-infrared and what is visible to human eyes.
It can be paired with computer vision and machine learning to produce a comprehensive analysis of the stored data. Due to increasing miniaturization, stability, higher resolution, and improved memory capability, the hyperspectral camera can be mounted on drones and satellites to capture aerial imagery.
For water resource and flood management, this camera can help in the early detection of the results of floods and the biochemical, hydro-physical, and biological attributes of water bodies. Further, hyperspectral aerial imagery can help farmers with crop mapping, early detection of pests, as well as essential sustainability metrics such as methane, solar-induced chlorophyll fluorescence (SIF), soil organic carbon (SOC) tests, and top-soil carbon monitoring. This application could allow farmers to participate in the global carbon market, earning them additional income as they prove that their practices are sequestering carbon.
Further industrial applications include medical diagnosis, forensic document examination, cultural heritage, and artwork authentication.