Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems
Autor: | Steven G. Ackleson, Walter Jetz, Heidi M. Dierssen, Ward Appeltans, Javier A. Concha, Anthony Freeman, Nima Pahlevan, Andrew H. Barnard, Matthew C. Long, Kyle C. Cavanaugh, C. Ade, Frank W. Davis, Xiaodong Zhang, Anastasia Romanou, Royal C. Gardner, Bryan A. Franz, Sherry L. Palacios, M. R. Keller, Antonio Mannino, John R. Moisan, Mitchell A. Roffer, David A. Siegel, Emmanuel Boss, Evangelia G. Drakou, Maria T. Kavanaugh, Robert J. Miller, Galen A. McKinley, Maria Tzortziou, Arnold G. Dekker, Frank Morgan, Frank E. Muller-Karger, Kevin R. Turpie, Noam R. Izenberg, John P. Dunne, Cecile S. Rousseaux, Erin L. Hestir, Raphael M. Kudela, Ricardo M. Letelier, Collin S. Roesler, Ben Best, Astrid Bracher, Dar A. Roberts, James A. Goodman, Colleen B. Mouw, Robert Frouin, Joachim Goes, Eduardo Klein, Kevin R. Arrigo, Ryan Pavlick, David C. Humm, Robert P. Guralnick, Heidi M. Sosik, Blake A. Schaeffer |
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Přispěvatelé: | Department of Geo-information Processing, Faculty of Geo-Information Science and Earth Observation, UT-I-ITC-STAMP |
Rok vydání: | 2018 |
Předmět: |
0106 biological sciences
010504 meteorology & atmospheric sciences Life on Land Oceans and Seas UT-Hybrid-D H4 imaging essential biodiversity variables Sunglint 01 natural sciences Article ITC-HYBRID remote sensing vegetation 14. Life underwater Radiometric calibration Life Below Water 0105 earth and related environmental sciences Remote sensing Habitat fragmentation Agricultural and Veterinary Sciences Ecology 010604 marine biology & hydrobiology Atmospheric correction aquatic Articles Biodiversity 15. Life on land Biological Sciences wetland Habitat destruction hyperspectral 13. Climate action Ocean color ITC-ISI-JOURNAL-ARTICLE Phytoplankton Remote Sensing Technology coastal zone Satellite ecology Environmental Sciences Global biodiversity |
Zdroj: | Ecological applications : a publication of the Ecological Society of America, vol 28, iss 3 BASE-Bielefeld Academic Search Engine Ecological Applications Ecological applications, 28(3), 749-760. Wiley-Blackwell EPIC3Ecological Applications, ECOLOGICAL SOC AMER, 28(3), pp. 749-760, ISSN: 1051-0761 |
ISSN: | 1939-5582 |
Popis: | The biodiversity and high productivity of coastal terrestrial and aquatic habitats are the foundation for important benefits to human societies around the world. These globally distributed habitats need frequent and broad systematic assessments, but field surveys only cover a small fraction of these areas. Satellite-based sensors can repeatedly record the visible and near-infrared reflectance spectra that contain the absorption, scattering, and fluorescence signatures of functional phytoplankton groups, colored dissolved matter, and particulate matter near the surface ocean, and of biologically structured habitats (floating and emergent vegetation, benthic habitats like coral, seagrass, and algae). These measures can be incorporated into Essential Biodiversity Variables (EBVs), including the distribution, abundance, and traits of groups of species populations, and used to evaluate habitat fragmentation. However, current and planned satellites are not designed to observe the EBVs that change rapidly with extreme tides, salinity, temperatures, storms, pollution, or physical habitat destruction over scales relevant to human activity. Making these observations requires a new generation of satellite sensors able to sample with these combined characteristics: (1) spatial resolution on the order of 30 to 100-m pixels or smaller; (2) spectral resolution on the order of 5 nm in the visible and 10 nm in the short-wave infrared spectrum (or at least two or more bands at 1,030, 1,240, 1,630, 2,125, and/or 2,260 nm) for atmospheric correction and aquatic and vegetation assessments; (3) radiometric quality with signal to noise ratios (SNR) above 800 (relative to signal levels typical of the open ocean), 14-bit digitization, absolute radiometric calibration temporal resolution of hours to days. We refer to these combined specifications as H4 imaging. Enabling H4 imaging is vital for the conservation and management of global biodiversity and ecosystem services, including food provisioning and water security. An agile satellite in a 3-d repeat low-Earth orbit could sample 30-km swath images of several hundred coastal habitats daily. Nine H4 satellites would provide weekly coverage of global coastal zones. Such satellite constellations are now feasible and are used in various applications. |
Databáze: | OpenAIRE |
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