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Ecol Appl. 2018 Apr;28(3):749-760. doi: 10.1002/eap.1682. Epub 2018 Mar 6.

Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems.

Author information

1
College of Marine Science, University of South Florida, 140 7th Avenue South, Saint Petersburg, Florida, 33701, USA.
2
School of Engineering, University of California Merced, 5200 N. Lake Road, Merced, California, 95340, USA.
3
Joint Center for Earth Systems Technology, University of Maryland, 5523 Research Park Drive, Baltimore, Maryland, 21228, USA.
4
Department of Geography, University of Southern California, Santa Barbara, California, 93106, USA.
5
Applied Physics Lab, Johns Hopkins University, 11100 Johns Hopkins Road, Laurel, Maryland, 20723, USA.
6
Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, 92093, USA.
7
Commonwealth Scientific and Industrial Research Organisation, Canberra, Australian Capital Territory, Australia.
8
Stetson University College of Law, 1401 61st Street South, Gulfport, Florida, 33707, USA.
9
HySpeed Computing, Miami, Florida, 33143, USA.
10
U.S. Environmental Protection Agency, National Exposure Research Laboratory, Research Triangle Park, Raleigh, North Carolina, 27711, USA.
11
Ocean Ecology Laboratory, Goddard Space Flight Center, National Aeronautics and Space Administration, Greenbelt, Maryland, 20770, USA.
12
Goddard Space Flight Center, Science Systems and Applications, Greenbelt, Maryland, 20770, USA.
13
Naval Research Laboratory, Washington, D.C., 20375, USA.
14
Department of Geography, University of California Los Angeles, Los Angeles, California, 90095, USA.
15
Goddard Institute for Space Studies, Columbia University, New York, New York, 10025, USA.
16
City University of New York, New York, New York, 10031, USA.
17
School of Marine Sciences, University of Maine, Orono, Maine, 04469, USA.
18
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, 91109, USA.
19
Universities Space Research Association, Goddard Space Flight Center, National Aeronautics and Space Administration, Greenbelt, Maryland, 20770, USA.
20
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, 08540, USA.
21
Climate and Global Dynamics Laboratory, University Corporation for Atmospheric Research, Boulder, Colorado, 80301, USA.
22
Laboratorio de Sensores Remotos, Universidad Simon Bolívar, Sartenejas, Apartado, Caracas, 89000, Venezuela.
23
Lamont Doherty Earth Observatory, Columbia University, Palisades, New York, 10964, USA.
24
College of Oceanic and Atmospheric Science, Oregon State University, Corvallis, Oregon, 97331, USA.
25
Roffer's Ocean Fishing Forecasting Service, 60 Westover Drive, West Melbourne, Florida, 32904, USA.
26
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany.
27
Stanford University, Stanford, California, 94305, USA.
28
Department of Marine Sciences, University of Connecticut, Groton, Connecticut, 06340, USA.
29
Earth System Science and Policy, University of North Dakota, Grand Forks, North Dakota, 58202, USA.
30
Bren School of Environmental Science and Management, University of California, Santa Barbara, California, 93106, USA.
31
EcoQuants, 508 East Haley Street, Santa Barbara, California, 93103, USA.
32
Florida Museum of Natural History, University of Florida, Cultural Plaza, 3215 Hull Road, Gainesville, Florida, 32611, USA.
33
Wallops Flight Facility, NASA Goddard Space Flight Center, Wallops Island, Virginia, 23337, USA.
34
Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, 02543, USA.
35
University of California Santa Cruz, Santa Cruz, California, 95064, USA.
36
Graduate School of Oceanography, University of Rhode Island, Kingston, Rhode Island, 02881, USA.
37
WET Labs/Sea-Bird Scientific, P.O. Box 518, Philomath, Oregon, 97370, USA.
38
Airborne Science Program, NASA Ames Research Center, Moffett Field, California, 94035, USA.
39
Department of Earth and Oceanographic Science, Bowdoin College, Brunswick, Maine, 04011, USA.
40
Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands.
41
Intergovernmental Oceanographic Commission of UNESCO, Ocean Biogeographic Information System, Oostende, Belgium.
42
Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, 06511, USA.

Abstract

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 <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.

KEYWORDS:

H4 imaging; aquatic; coastal zone; ecology; essential biodiversity variables; hyperspectral; remote sensing; vegetation; wetland

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