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Updated: Jun 11, 2026

A Multimodal Wide-Field Fourier-Transform Raman Microscope
Published on: December 30, 2025
A static Fourier transform spectrometer for atmospheric sounding: concept and experimental implementation
Antoine Lacan1, François-Marie Bréon, Alain Rosak
1CNES, 18, avenue E. Belin, 31401 Toulouse Cedex 9, France. antoinelacan@gmail.com
A new compact Fourier Transform Spectrometer (FTS) is developed for spaceborne remote sensing of atmospheric carbon dioxide (CO2). This technology enhances CO2 monitoring for surface flux estimation using absorption spectroscopy.
Area of Science:
- Earth and Space Science
- Atmospheric Science
- Spectroscopy
Background:
- Spaceborne remote sensing is crucial for monitoring atmospheric composition.
- Accurate measurement of atmospheric carbon dioxide (CO2) is vital for estimating surface fluxes.
- Absorption spectroscopy at 1.6 and 2.0 microns is a promising technique for CO2 detection.
Purpose of the Study:
- To introduce a novel, compact spectrometer concept for microsatellite platforms.
- To enable high-resolution spaceborne monitoring of carbon dioxide absorption lines.
- To improve the accuracy and information content of atmospheric CO2 measurements.
Main Methods:
- Development of a Fourier Transform Spectrometer (FTS) concept using stepped mirrors instead of a classical moving mirror.
- Imaging the interferogram onto a CCD matrix for data acquisition.
- Incorporation of a modulating plate to control path difference and enhance measurements.
Main Results:
- Achieved a high resolving power of approximately 65,000 in laboratory models.
- Demonstrated a signal-to-noise ratio of around 300 for the spectral data.
- Validated the instrument's suitability for observing specific CO2 absorption lines within narrow spectral bands.
Conclusions:
- The developed compact FTS concept is well-suited for spaceborne atmospheric CO2 monitoring.
- This technology offers a significant advancement for estimating surface CO2 fluxes.
- The instrument provides high-resolution spectral data with excellent signal-to-noise, improving measurement information content.
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