TY - JOUR
T1 - NASA's Surface Biology and Geology Designated Observable
T2 - A Perspective on Surface Imaging Algorithms
AU - Cawse-Nicholson, Kerry
AU - Townsend, Philip A.
AU - Schimel, David
AU - Assiri, Ali M.
AU - Blake, Pamela L.
AU - Buongiorno, Maria Fabrizia
AU - Campbell, Petya
AU - Carmon, Nimrod
AU - Casey, Kimberly A.
AU - Correa-Pabón, Rosa Elvira
AU - Dahlin, Kyla M.
AU - Dashti, Hamid
AU - Dennison, Philip E.
AU - Dierssen, Heidi
AU - Erickson, Adam
AU - Fisher, Joshua B.
AU - Frouin, Robert
AU - Gatebe, Charles K.
AU - Gholizadeh, Hamed
AU - Gierach, Michelle
AU - Glenn, Nancy F.
AU - Goodman, James A.
AU - Griffith, Daniel M.
AU - Guild, Liane
AU - Hakkenberg, Christopher R.
AU - Hochberg, Eric J.
AU - Holmes, Thomas R.H.
AU - Hu, Chuanmin
AU - Hulley, Glynn
AU - Huemmrich, Karl F.
AU - Kudela, Raphael M.
AU - Kokaly, Raymond F.
AU - Lee, Christine M.
AU - Martin, Roberta
AU - Miller, Charles E.
AU - Moses, Wesley J.
AU - Muller-Karger, Frank E.
AU - Ortiz, Joseph D.
AU - Otis, Daniel B.
AU - Pahlevan, Nima
AU - Painter, Thomas H.
AU - Pavlick, Ryan
AU - Poulter, Ben
AU - Qi, Yi
AU - Realmuto, Vincent J.
AU - Roberts, Dar
AU - Schaepman, Michael E.
AU - Schneider, Fabian D.
AU - Schwandner, Florian M.
AU - Serbin, Shawn P.
N1 - Publisher Copyright:
© 2021 The Authors
PY - 2021/5
Y1 - 2021/5
N2 - 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.
AB - 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.
KW - Aquatic
KW - Hyperspectral
KW - Remote sensing
KW - Snow
KW - Thermal infrared
KW - Vegetation
KW - Volcano
UR - https://scholarworks.boisestate.edu/geo_facpubs/574
UR - http://www.scopus.com/inward/record.url?scp=85101152984&partnerID=8YFLogxK
U2 - 10.1016/j.rse.2021.112349
DO - 10.1016/j.rse.2021.112349
M3 - Review article
SN - 0034-4257
VL - 257
JO - Remote Sensing of Environment
JF - Remote Sensing of Environment
M1 - 112349
ER -