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Hyperspectral camera as a compact payload architecture for remote sensing applications.

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    This study introduces a compact optical system for CubeSats, enabling detailed spectral imaging for Earth observation. The new system offers high-quality data for remote sensing applications like land cover classification.

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    Area of Science:

    • * Earth Observation and Remote Sensing
    • * Space Technology and Nanosatellites
    • * Optical Engineering

    Background:

    • * Global interest in Earth surface monitoring necessitates advanced remote sensing capabilities.
    • * CubeSat nanosatellites offer a platform for developing low-cost, small-sized instruments.
    • * Existing CubeSat optical systems are often expensive and designed for general use.

    Purpose of the Study:

    • * To present a novel 1.4 U compact optical system for spectral imaging from a CubeSat.
    • * To validate the optical system's architecture through ray tracing simulations.
    • * To assess the system's performance in a real remote sensing application (land cover classification).

    Main Methods:

    • * Development of a 1.4 U compact optical system for CubeSat integration.
    • * Optical simulations using ray tracing software for architecture validation.
    • * Evaluation of optical characterization and land cover classification performance.

    Main Results:

    • * The proposed optical system operates in the 450 nm to 900 nm spectral range with 35 bands.
    • * Achieved an overall f-number of 3.41, a ground sampling distance of 52.8 m, and a 40 km swath.
    • * Demonstrated effective performance in land cover classification, validating data quality.

    Conclusions:

    • * The developed optical system provides a compact and effective solution for spectral imaging on CubeSats.
    • * Publicly available design parameters ensure validation, repeatability, and reproducibility.
    • * This system advances remote sensing capabilities by offering a cost-effective, high-performance payload.