Atmospheric Lengthscales for Global VSWIR Imaging Spectroscopy.

Autor: Thompson DR; Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA., Bohn N; Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences Potsdam Germany., Brodrick PG; Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA., Carmon N; Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA., Eastwood ML; Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA., Eckert R; Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA., Fichot CG; Department of Earth and Environment Boston University Boston MA USA., Harringmeyer JP; Department of Earth and Environment Boston University Boston MA USA., Nguyen HM; Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA., Simard M; Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA., Thorpe AK; Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA.
Jazyk: angličtina
Zdroj: Journal of geophysical research. Biogeosciences [J Geophys Res Biogeosci] 2022 Jun; Vol. 127 (6), pp. e2021JG006711. Date of Electronic Publication: 2022 Jun 27.
DOI: 10.1029/2021JG006711
Abstrakt: 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.
(© 2022 Jet Propulsion Laboratory. California Institute of Technology. Government sponsorship acknowledged.)
Databáze: MEDLINE
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