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3U CubeSat-Based Hyperspectral Remote Sensing by Offner Imaging Hyperspectrometer with Radially-Fastened Primary
Nikolay Ivliev1,2, Vladimir Podlipnov1,2, Maxim Petrov2
1Image Processing Systems Institute NRC "Kurchatov Institute", Molodogvardeyskaya 151, 443001 Samara, Russia.
A new hyperspectral imaging camera on a 3U CubeSat successfully captured Earth data. This compact system shows strong agreement with Sentinel-2, enabling advanced remote sensing applications.
Area of Science:
- Earth Observation
- Remote Sensing
- Astrophysics
Background:
- Hyperspectral imaging is crucial for Earth observation.
- CubeSats offer a cost-effective platform for space missions.
- Previous hyperspectral missions faced limitations in compactness and spectral range.
Purpose of the Study:
- To present findings from a spaceborne Earth observation experiment using a novel hyperspectral camera on a 3U CubeSat.
- To evaluate the performance and suitability of the compact hyperspectrometer for remote sensing applications.
- To demonstrate the CubeSat's capability in generating vegetation indices and unique spectral data.
Main Methods:
- Utilized an ultra-compact hyperspectral imaging camera with an Offner optical scheme aboard a 3U CubeSat.
- Captured hyperspectral images with 200 m spatial and 12 nm spectral resolution (400-1000 nm).
- Conducted numerical simulations for performance evaluation and analyzed a year of orbital data.
- Compared results with European Space Agency's Sentinel-2 L2A data.
Main Results:
- The 3U CubeSat successfully acquired hyperspectral data over a year.
- Generated various vegetation indices, including the normalized difference vegetation index (NDVI).
- Demonstrated strong agreement with Sentinel-2 L2A data, validating the system's performance.
- Produced unique index images beyond Sentinel-2 L2A capabilities.
Conclusions:
- The novel hyperspectral imaging camera on the 3U CubeSat is suitable for Earth observation in the visible and near-infrared spectrums.
- The compact design and performance confirm its potential for advancing remote sensing applications.
- The system's ability to generate unique spectral data offers new possibilities for scientific research.
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