气候变化领域集成服务门户(CCPortal): NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms

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DOI	10.1016/j.rse.2021.112349
	NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms
	Cawse-Nicholson K.; Townsend P.A.; Schimel D.; Assiri A.M.; Blake P.L.; Buongiorno M.F.; Campbell P.; Carmon N.; Casey K.A.; Correa-Pabón R.E.; Dahlin K.M.; Dashti H.; Dennison P.E.; Dierssen H.; Erickson A.; Fisher J.B.; Frouin R.; Gatebe C.K.; Gholizadeh H.; Gierach M.; Glenn N.F.; Goodman J.A.; Griffith D.M.; Guild L.; Hakkenberg C.R.; Hochberg E.J.; Holmes T.R.H.; Hu C.; Hulley G.; Huemmrich K.F.; Kudela R.M.; Kokaly R.F.; Lee C.M.; Martin R.; Miller C.E.; Moses W.J.; Muller-Karger F.E.; Ortiz J.D.; Otis D.B.; Pahlevan N.; Painter T.H.; Pavlick R.; Poulter B.; Qi Y.; Realmuto V.J.; Roberts D.; Schaepman M.E.; Schneider F.D.; Schwandner F.M.; Serbin S.P.; Shiklomanov A.N.; Stavros E.N.; Thompson D.R.; Torres-Perez J.L.; Turpie K.R.; Tzortziou M.; Ustin S.; Yu Q.; Yusup Y.; Zhang Q.; the SBG Algorithms Working Group
发表日期	2021
ISSN	00344257
卷号	257
英文摘要	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. © 2021 The Authors
英文关键词	Aquatic; Hyperspectral; Remote sensing; Snow; Thermal infrared; Vegetation; Volcano
语种	英语
scopus关键词	Agricultural robots; Agriculture; Aquatic ecosystems; Aquatic organisms; Geology; Health risks; Infrared radiation; Land use; NASA; Orbits; Physiology; Pixels; Snow; Spectroscopy; Surveys; Urban growth; Vegetation; Aquatic environments; Atmospheric science; High spatial resolution; Imaging spectroscopy; Science disciplines; Short wave infrared; State of the practice; Terrestrial vegetation; Hyperspectral imaging; algorithm; design; observational method; pixel; shortwave radiation; spatial resolution; spectral analysis; visible spectrum
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178917
作者单位	Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; University of Wisconsin-, Madison, WI, United States; KACST, Space and Aeronautics Research Institute, Riyadh, Saudi Arabia; The Boeing Company, Seal Beach, CA, United States; Istituto Nazionale di Geofisica e Vulcanologia, Italy; University of Maryland Baltimore County (UMBC)MD, United States; NASA Goddard Space Flight CenterMD, United States; U.S. Geological Survey, Reston, VA, United States; Instituto Tecnológico Vale Mineração, Ouro Preto, Brazil; Michigan State University, East Lansing, MI, United States; University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States; University of Utah, Salt Lake City, UT, United States; Marine Sciences Department, University of Connecticut, Groton, CT, United States; Universities Space Research Association (USRA)MD, United States; Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, United States; NASA Ames...
推荐引用方式 GB/T 7714	Cawse-Nicholson K.,Townsend P.A.,Schimel D.,et al. NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms[J],2021,257.
APA	Cawse-Nicholson K..,Townsend P.A..,Schimel D..,Assiri A.M..,Blake P.L..,...&the SBG Algorithms Working Group.(2021).NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms.Remote Sensing of Environment,257.
MLA	Cawse-Nicholson K.,et al."NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms".Remote Sensing of Environment 257(2021).