NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms

dc.contributor.authorCawse-Nicholson, Kerry
dc.contributor.authorTownsend, Philip A.
dc.contributor.authorSchimel, David
dc.contributor.authorAssiri, Ali M.
dc.contributor.authorCampbell, Petya Entcheva
dc.contributor.authorHuemmrich, Karl
dc.contributor.authorRoberts, Dar
dc.contributor.authorTurpie, Kevin
dc.contributor.authorThe SBG Algorithms Working Group
dc.contributor.authoret al.
dc.date.accessioned2022-03-01T16:19:31Z
dc.date.available2022-03-01T16:19:31Z
dc.date.issued2021-05
dc.descriptionAuthors: Kerry Cawse-Nicholson a,*, Philip A. Townsend b, David Schimel a, Ali M. Assiri c, , Pamela L. Blake d, Maria Fabrizia Buongiorno e, Petya Campbell f,g, Nimrod Carmon a, Kimberly A. Casey g,h, Rosa Elvira Correa-Pab´on i, Kyla M. Dahlin j, Hamid Dashti k, , Philip E. Dennison l, Heidi Dierssen m, Adam Erickson n,g, Joshua B. Fisher a, Robert Frouin o, , Charles K. Gatebe p, Hamed Gholizadeh q, Michelle Gierach a, Nancy F. Glenn r,an, , James A. Goodman s, Daniel M. Griffith t,p, Liane Guild p, Christopher R. Hakkenberg u, , Eric J. Hochberg v, Thomas R.H. Holmes g, Chuanmin Hu w, Glynn Hulley a, , Karl F. Huemmrich f,g, Raphael M. Kudela x, Raymond F. Kokaly y, Christine M. Lee a, Roberta Martin z, Charles E. Miller a, Wesley J. Moses aa, Frank E. Muller-Karger w, , Joseph D. Ortiz ab, Daniel B. Otis w, Nima Pahlevan ac,g, Thomas H. Painter ad, Ryan Pavlick a, , Ben Poulter g, Yi Qi ae, Vincent J. Realmuto a, Dar Roberts af, Michael E. Schaepman ag, Fabian D. Schneider a, Florian M. Schwandner p, Shawn P. Serbin ah, Alexey N. Shiklomanov g, , E. Natasha Stavros a,ad, David R. Thompson a, Juan L. Torres-Perez ai, Kevin R. Turpie f,g, Maria Tzortziou aj,g, Susan Ustin ak, Qian Yu al, Yusri Yusup am, Qingyuan Zhang n,g, the SBG , Algorithms Working Groupen_US
dc.description.abstractThe 2017–2027 National Academies' Decadal Survey, Thriving on Our Changing Planet, recommended Surface Biology and Geology (SBG) as a “Designated Targeted Observable” (DO). The SBG DO is based on the need for capabilities to acquire global, high spatial resolution, visible to shortwave infrared (VSWIR; 380–2500 nm; ~30 m pixel resolution) hyperspectral (imaging spectroscopy) and multispectral midwave and thermal infrared (MWIR: 3–5 μm; TIR: 8–12 μm; ~60 m pixel resolution) measurements with sub-monthly temporal revisits over terrestrial, freshwater, and coastal marine habitats. To address the various mission design needs, an SBG Algorithms Working Group of multidisciplinary researchers has been formed to review and evaluate the algorithms applicable to the SBG DO across a wide range of Earth science disciplines, including terrestrial and aquatic ecology, atmospheric science, geology, and hydrology. Here, we summarize current state-of-the-practice VSWIR and TIR algorithms that use airborne or orbital spectral imaging observations to address the SBG DO priorities identified by the Decadal Survey: (i) terrestrial vegetation physiology, functional traits, and health; (ii) inland and coastal aquatic ecosystems physiology, functional traits, and health; (iii) snow and ice accumulation, melting, and albedo; (iv) active surface composition (eruptions, landslides, evolving landscapes, hazard risks); (v) effects of changing land use on surface energy, water, momentum, and carbon fluxes; and (vi) managing agriculture, natural habitats, water use/quality, and urban development. We review existing algorithms in the following categories: snow/ice, aquatic environments, geology, and terrestrial vegetation, and summarize the community-state-of-practice in each category. This effort synthesizes the findings of more than 130 scientists.en_US
dc.description.sponsorshipSupport to the lead authors (Cawse-Nicholson and Townsend) was provided by NASA Headquarters and the Jet Propulsion Laboratory, California Institute of Technology. This study was also supported by the Space-based Imaging Spectroscopy and Thermal (SISTER) pathfinder, part of the Surface Biology and Geology (SBG) project, a NASA Earth Science Designated Observable. Adam Erickson's contribution was supported by an appointment to the NASA Postdoctoral Program at NASA Goddard Space Flight Center, administered by Universities Space Research Association under contract with NASA. Robert Frouin was supported by NASA's Ocean Biology and Biogeochemistry Program under various grants. The contribution of Michael E. Schaepman is supported by the University of Zurich Research Priority Programme on Global Change and Biodiversity (URPP GCB). Shawn Serbin was supported by the Next-Generation Ecosystem Experiments in the Arctic (NGEE-Arctic) and tropics (NGEE-Tropics) that are supported by the Office of Biological and Environmental Research in the Department of Energy, Office of Science, and through the U.S. DOE contract No. DE-SC0012704 to Brookhaven National Laboratory. The authors thank the other members of the SBG Algorithms Working Group, constituting more than 130 researchers, who participated in telecons and webinars to contribute to the contents of this paper. Two anonymous reviewers provided invaluable insight and recommendations, and we are grateful for their time and suggestions. Part of the research described in this paper was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. © 2021 California Institute of Technology. Government sponsorship is acknowledged.en_US
dc.description.urihttps://www.sciencedirect.com/science/article/pii/S0034425721000675en_US
dc.format.extent25 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m262kd-wxyo
dc.identifier.citationCawse-Nicholson, Kerry et al. NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms. Remote Sensing of Environment 257 (May 2021) 112349. https://doi.org/10.1016/j.rse.2021.112349.en_US
dc.identifier.urihttps://doi.org/10.1016/j.rse.2021.112349
dc.identifier.urihttp://hdl.handle.net/11603/24338
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology
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.titleNASA's surface biology and geology designated observable: A perspective on surface imaging algorithmsen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-0505-4951en_US
dcterms.creatorhttps://orcid.org/0000-0003-4148-9108en_US
dcterms.creatorhttps://orcid.org/0000-0002-1637-6008en_US

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