3U CubeSat-Based Hyperspectral Remote Sensing by Offner Imaging Hyperspectrometer with Radially-Fastened Primary Elements

Author:

Ivliev Nikolay12ORCID,Podlipnov Vladimir12ORCID,Petrov Maxim2ORCID,Tkachenko Ivan2,Ivanushkin Maksim2,Fomchenkov Sergey12,Markushin Maksim12,Skidanov Roman12ORCID,Khanenko Yuriy2ORCID,Nikonorov Artem12,Kazanskiy Nikolay12ORCID,Soifer Viktor2

Affiliation:

1. Image Processing Systems Institute NRC “Kurchatov Institute”, Molodogvardeyskaya 151, 443001 Samara, Russia

2. Samara National Research University Named after S.P. Korolev, Institute of IT and Cybernatics, Moskovskoye Shosse 34, 443086 Samara, Russia

Abstract

This paper presents findings from a spaceborne Earth observation experiment utilizing a novel, ultra-compact hyperspectral imaging camera aboard a 3U CubeSat. Leveraging the Offner optical scheme, the camera’s hyperspectrometer captures hyperspectral images of terrestrial regions with a 200 m spatial resolution and 12 nanometer spectral resolution across a 400 to 1000 nanometer wavelength range, covering 150 channels in the visible and near-infrared spectrums. The hyperspectrometer is specifically designed for deployment on a 3U CubeSat nanosatellite platform, featuring a robust all-metal cylindrical body of the hyperspectrometer, and a coaxial arrangement of the optical elements ensures optimal compactness and vibration stability. The performance of the imaging hyperspectrometer was rigorously evaluated through numerical simulations prior to construction. Analysis of hyperspectral data acquired over a year-long orbital operation demonstrates the 3U CubeSat’s ability to produce various vegetation indices, including the normalized difference vegetation index (NDVI). A comparative study with the European Space Agency’s Sentinel-2 L2A data shows a strong agreement at critical points, confirming the 3U CubeSat’s suitability for hyperspectral imaging in the visible and near-infrared spectrums. Notably, the ISOI 3U CubeSat can generate unique index images beyond the reach of Sentinel-2 L2A, underscoring its potential for advancing remote sensing applications.

Funder

Russian Science Foundation

Publisher

MDPI AG

Reference42 articles.

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