Simulating Global Dynamic Surface Reflectances for Imaging Spectroscopy Spaceborne Missions: LPJ-PROSAIL

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dc.contributor.authorPoulter, Benjamin
dc.contributor.authorCurrey, Bryce
dc.contributor.authorCalle, Leonardo
dc.contributor.authorShiklomanov, Alexey N.
dc.contributor.authorCampbell, Petya Entcheva
dc.contributor.authoret al
dc.date.accessioned2023-04-03T15:01:56Z
dc.date.available2023-04-03T15:01:56Z
dc.date.issued2023-02-17
dc.descriptionAuthors: - Benjamin Poulter, Bryce Currey, Leonardo Calle, Alexey N. Shiklomanov, Cibele H. Amaral, E. N. Jack Brookshire, Petya Entcheva Campbell, Adam Chlus, Kerry Cawse-Nicholson, Fred Huemmrich, Charles E. Miller, Kimberley Miner, Zoe Pierrat, Ann M. Raiho, David Schimel, Shawn Serbin, William K. Smith, Natasha Stavros, Jochen Stutz, Phil Townsend, David R. Thompson, and Zhen Zhangen_US
dc.description.abstractSpectroscopic reflectance data provide novel information on the properties of the Earth's terrestrial and aquatic surfaces. Until recently, imaging spectroscopy missions were dependent mainly on airborne instruments, such as the Next Generation Airborne Visible InfraRed Imaging Spectrometer (AVIRIS-NG), providing limited spatial and temporal observations. Currently, there is an emergence of spaceborne imaging spectroscopy missions, which require advances in end-to-end model support for traceability studies. To provide this support, the LPJ-wsl dynamic global vegetation model is coupled with the canopy radiative transfer model, PROSAIL, to generate global, gridded, daily visible to shortwave infrared (VSWIR) spectra (400–2,500 nm). LPJ-wsl variables are cross-walked to meet required PROSAIL parameters, which include leaf structure, chlorophyll a + b, brown pigment, equivalent water thickness, and dry matter content. Simulated spectra are compared to a boreal forest site, a temperate forest, managed grassland, a dryland and a tropical forest site using reflectance data from tower-mounted, aircraft, and spaceborne imagers. We find that canopy nitrogen and leaf-area index are the most uncertain variables in translating LPJ-wsl to PROSAIL parameters but at first order, LPJ-PROSAIL successfully simulates surface reflectance dynamics. Future work will optimize functional relationships required for improving PROSAIL parameters and include the development of the LPJ-model to represent improvements in leaf water content and canopy nitrogen. The LPJ-PROSAIL model is intended to support missions such as NASA's Surface Biology and Geology and subsequent modeled products related to the carbon cycle and hydrologyen_US
dc.description.sponsorshipWe thank J.A. Biederman for their efforts as PI of the RainManSR experimental facility, the source of the semi-arid grassland spectra used in this analysis. We acknowledge support from the NASA Surface Biology and Geology Designated Observable architecture study. B.P. and W.K.S. also acknowledge support from the NASA Carbon Cycle Science program (Grant 80NSSC21K1709). SPS was partially supported by the NASA Surface Biology and Geology Designated Observable architecture study (80GSFC22TA016) and by the United States Department of Energy, Office of Science, through the Department of Energy contract No. DE-SC0012704 to Brookhaven National Laboratory. Part of the research described in this paper was carried out at the Jet Propulsion Laboratory, California Institute of Tech-nology, under contract with the National Aeronautics and Space Administration. Government sponsorship acknowledged. This material is also based upon work supported by the National Science Foundation Graduate Research Fellow-ship under Grants DGE-1650604 and DGE-2034835. Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors(s) and do not necessarily reflect the views of the National Science Foundation. We thank Teledyne Brown Engineering (TBE) and the German Aerospace Center (DLR) for providing the DESIS images. We acknowledge the PRISMA Products, © of the Italian Space Agency (ASI), delivered under an ASI License to use.en_US
dc.description.urihttps://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022JG006935en_US
dc.format.extent22 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2juid-jwoi
dc.identifier.citationPoulter, B., Currey, B., Calle, L., Shiklomanov, A. N., Amaral, C. H., Brookshire, E. N. J., et al. (2023). Simulating global dynamic surface reflectances for imaging spectroscopy spaceborne missions: LPJ-PROSAIL. Journal of Geophysical Research: Biogeosciences, 128, e2022JG006935. https://doi.org/10.1029/2022JG006935.en_US
dc.identifier.urihttps://doi.org/10.1029/2022JG006935
dc.identifier.urihttp://hdl.handle.net/11603/27221
dc.language.isoen_USen_US
dc.publisherAGUen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology
dc.relation.ispartofUMBC Geography and Environmental Systems Department
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.en_US
dc.rightsPublic Domain Mark 1.0*
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleSimulating Global Dynamic Surface Reflectances for Imaging Spectroscopy Spaceborne Missions: LPJ-PROSAILen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-0505-4951en_US

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