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Ecological Applications
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Ecological Applications
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Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems

متطلبات استشعار الأقمار الصناعية لرصد متغيرات التنوع البيولوجي الأساسية للنظم الإيكولوجية الساحلية
Authors: Frank Müller‐Karger; Erin L. Hestir; Christiana Ade; Kevin Turpie; Dar A. Roberts; David A. Siegel; Robert J. Miller; +46 Authors

Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems

Abstract

AbstractThe 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 <2%, relative calibration of 0.2%, polarization sensitivity <1%, high radiometric stability and linearity, and operations designed to minimize sunglint; and (4) 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.

Countries
United States, Netherlands
Keywords

550, UT-Hybrid-D, Essentail biodiversity variables, essential biodiversity variables, H4 imaging, Coastal zone, Oceanography, remote sensing, Terrestrial ecosystem, Pathology, Ecology, Colored dissolved organic matter, Geography, Application of Stable Isotopes in Trophic Ecology, Geology, Oceanography and Atmospheric Sciences and Meteorology, Articles, Biodiversity, Biological Sciences, Remote sensing, wetland, Ecological Dynamics of Marine Environments, Earth and Planetary Sciences, Habitat, Wetland, Physical Sciences, Medicine, ecology, SDG 6 - Clean Water and Sanitation, Vegetation (pathology), 570, Ecosystem Resilience, Life on Land, Oceans and Seas, 333, Environmental science, ITC-HYBRID, vegetation, SDG 14 - Life Below Water, Life Below Water, Biology, Ecosystem, Essential biodiversity variables, Vegetation, Agricultural and Veterinary Sciences, Resilience of Coral Reef Ecosystems to Climate Change, Ecosystem Structure, Spectral signature, aquatic, FOS: Earth and related environmental sciences, Aquatic, hyperspectral, Hyperspectral, ITC-ISI-JOURNAL-ARTICLE, FOS: Biological sciences, Remote Sensing Technology, Environmental Science, Phytoplankton, coastal zone, Environmental Sciences, Nutrient

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
127
Top 1%
Top 10%
Top 1%
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