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  Atmospheric Lengthscales for Global VSWIR Imaging Spectroscopy

Thompson, D. R., Bohn, N., Brodrick, P. G., Carmon, N., Eastwood, M. L., Eckert, R., Fichot, C. G., Harringmeyer, J. P., Nguyen, H. M., Simard, M., Thorpe, A. K. (2022): Atmospheric Lengthscales for Global VSWIR Imaging Spectroscopy. - Journal of Geophysical Research: Biogeosciences, 127, 6, e2021JG006711.
https://doi.org/10.1029/2021JG006711

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Thompson, David R.1, Autor
Bohn, Niklas2, Autor              
Brodrick, Philip G.1, Autor
Carmon, Nimrod1, Autor
Eastwood, Michael L.1, Autor
Eckert, Regina1, Autor
Fichot, Cédric G.1, Autor
Harringmeyer, Joshua P.1, Autor
Nguyen, Hai M.1, Autor
Simard, Marc1, Autor
Thorpe, Andrew K.1, Autor
Affiliations:
1External Organizations, ou_persistent22              
21.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146028              

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 Zusammenfassung: Future global Visible Shortwave Infrared Imaging Spectrometers, such as the Surface Biology and Geology (SBG) mission, will regularly cover the Earth's entire terrestrial land area. These missions need high fidelity atmospheric correction to produce consistent maps of terrestrial and aquatic ecosystem traits. However, estimation of surface reflectance and atmospheric state is computationally challenging, and the terabyte data volumes of global missions will exceed available processing capacity. This article describes how missions can overcome this bottleneck using the spatial continuity of atmospheric fields. Contemporary imaging spectrometers oversample atmospheric spatial variability, so it is not necessary to invert every pixel. Spatially sparse solutions can train local linear emulators that provide fast, exact inversions in their vicinity. We find that estimating the atmosphere at 200 m scales can outperform traditional atmospheric correction, improving speed by one to two orders of magnitude with no measurable penalty to accuracy. We validate performance with an airborne field campaign, showing reflectance accuracies with RMSE of 1.1% or better compared to ground measurements of diverse targets. These errors are statistically consistent with retrieval uncertainty budgets. Local emulators can close the efficiency gap and make rigorous model inversion algorithms feasible for global missions such as SBG.

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 Datum: 2022-06-272022
 Publikationsstatus: Final veröffentlicht
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 Identifikatoren: DOI: 10.1029/2021JG006711
GFZPOF: p4 T5 Future Landscapes
GFZPOFCCA: p4 CARF RemSens
OATYPE: Hybrid Open Access
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Titel: Journal of Geophysical Research: Biogeosciences
Genre der Quelle: Zeitschrift, SCI, Scopus
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Seiten: - Band / Heft: 127 (6) Artikelnummer: e2021JG006711 Start- / Endseite: - Identifikator: ISSN: 2169-8953
ISSN: 2169-8961
CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/jgr_biogeosciences
Publisher: American Geophysical Union (AGU)