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

February 20, 2021

The 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.

    Publication Year 2021
    Title NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms
    DOI 10.1016/j.rse.2021.112349
    Authors Kerry Cawse-Nicholson, Philip A. Townsend, David Schimel, Ali M Assiri, Pamela L. Blake, Maria Fabrizia Buongiorno, Petya Campbell, Nimrod Carmon, Kimberly Ann Casey, Rosa Elvira Correa-Pabón, Kyla M. Dahlin, Hamid Dashti, Philip Dennison, Heidi Dierrsen, Adam Erickson, Joshua B. Fisher, Robert Frouin, Charles K. Gatebe, Hamed Gholizadeh, Michelle M. Gierach, Nancy F. Glenn, James A. Goodman, Daniel Mark Griffith, Liane Guild, Christopher R. Hakkenberg, Eric J. Hochberg, Thomas R. H. Holmes, Chaunmin Hu, Glynn Hulley, Karl F. Huemmrich, Raphael M. Kudela, Raymond F. Kokaly, Christine M. Lee, Roberta E. Martin, Charles E. Miller, Wesley J. Moses, Frank E. Muller-Karger, Joseph P. Ortiz, Daniel B. Otis, Nima Pahlevan, Thomas H. Painter, Ryan Pavlick, Benjamin Poulter, Yi Qi, Vincent J. Realmuto, Dar A. Roberts, Michael E. Schaepman, Fabian D Schneider, Florian M. Schwandner, Shawn P. Serbin, Alexey N. Shiklomanov, E. Natasha Stavros, David R. Thompson, Juan L. Torres-Perez, Kevin R. Turpie, Maria Tzortziou, Susan L. Ustin, Qian Yu, Yusri Yusup, Qingyuan Zhang
    Publication Type Article
    Publication Subtype Journal Article
    Series Title Remote Sensing of Environment
    Index ID 70240743
    Record Source USGS Publications Warehouse
    USGS Organization Geology, Geophysics, and Geochemistry Science Center