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

التفاصيل البيبلوغرافية
العنوان: NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms
المؤلفون: Daniel M. Griffith, Kimberly A. Casey, Florian M. Schwandner, Frank E. Muller-Karger, Vincent Realmuto, Christopher R. Hakkenberg, Qingyuan Zhang, Philip E. Dennison, J. L. Torres-Perez, Dar A. Roberts, Thomas R. H. Holmes, Alexey N. Shiklomanov, Robert Frouin, Maria Fabrizia Buongiorno, Nima Pahlevan, Hamid Dashti, Roberta E. Martin, Christine Lee, Fabian D. Schneider, Kyla M. Dahlin, Chuanmin Hu, Yi Qi, Pamela L. Blake, Ali M. Assiri, Yusri Yusup, Michael E. Schaepman, Kevin R. Turpie, Nimrod Carmon, Adam Erickson, David S. Schimel, Joseph D. Ortiz, Nancy F. Glenn, Michelle M. Gierach, Maria Tzortziou, Susan L. Ustin, Hamed Gholizadeh, Heidi M. Dierssen, David R. Thompson, E. Natasha Stavros, Joshua B. Fisher, Raymond F. Kokaly, D. B. Otis, Petya K. E. Campbell, Kerry Cawse-Nicholson, Philip A. Townsend, Raphael M. Kudela, James A. Goodman, Karl F. Huemmrich, Wesley J. Moses, T. H. Painter, Ben Poulter, Qian Yu, Glynn Hulley, Charles K. Gatebe, Eric J. Hochberg, Ryan Pavlick, Charles E. Miller, Shawn P. Serbin, Liane S. Guild, Rosa Elvira Correa-Pabón
المصدر: Remote Sensing of Environment. 257:112349
بيانات النشر: Elsevier BV, 2021.
سنة النشر: 2021
مصطلحات موضوعية: medicine.medical_specialty, 010504 meteorology & atmospheric sciences, Land use, 0208 environmental biotechnology, Multispectral image, Marine habitats, Soil Science, Hyperspectral imaging, Geology, 02 engineering and technology, Vegetation, Albedo, Snow, 01 natural sciences, 020801 environmental engineering, Spectral imaging, medicine, Computers in Earth Sciences, Algorithm, 0105 earth and related environmental sciences, Remote sensing
الوصف: 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.
تدمد: 0034-4257
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::1a8e0e7d00693162e3c131dc854c7c97
https://doi.org/10.1016/j.rse.2021.112349
حقوق: OPEN
رقم الأكسشن: edsair.doi...........1a8e0e7d00693162e3c131dc854c7c97
قاعدة البيانات: OpenAIRE