Marine Science Faculty Publications

Authors

Roger Sayre, Land Change Science Program, U.S. Geological Survey, Reston, VA, USA
Suzanne Noble, Land Change Science Program, U.S. Geological Survey, Reston, VA, USA
Sharon Hamann, Land Change Science Program, U.S. Geological Survey, Reston, VA, USA
Rebecca Smith, Land Change Science Program, U.S. Geological Survey, Reston, VA, USA
Dawn Wright, Esri, Redlands, CA, USA
Sean Breyer, Esri, Redlands, CA, USA
Kevin Butler, Esri, Redlands, CA, USA
Keith Van USA, Esri, Redlands, CA, USA
Charlie Frye, Esri, Redlands, CA, USA
Deniz Karagulle, Esri, Redlands, CA, USA
Dabney USAHopkins, Esri, Redlands, CA, USA
Drew Stephens, Esri, Redlands, CA, USA
Kevin Kelly, Esri, Redlands, CA, USA
Zeenatul Basher, Land Change Science Program, U.S. Geological Survey, Reston, VA, USA
Devon Burton, Land Change Science Program, U.S. Geological Survey, Reston, VA, USA
Jill Cress, Geosciences and Environmental Change Science Center, U.S. Geological Survey, Denver, CO, USA
Karina Atkins, Land Change Science Program, U.S. Geological Survey, Reston, VA, USA
D. Paco, Geosciences and Environmental Change Science Center, U.S. Geological Survey, Denver, CO, USA
Beverly Friesen, Land Change Science Program, U.S. Geological Survey, Reston, VA, USA
Rebecca Allee, Coastal Services Center, NOAA, Stennis Space Center, MS, USA
Tom Allen, Old Dominion University
Peter Aniello, The Trust for Public Lands, Santa Fe, NM, USA
Irawan Asaad, Institute of Marine Science
Mark John, Institute of Marine Science
Kathy Goodin, Coastal and Marine Program, NatureServe, Arlington, TX, USA
Peter Harris, GRID-Arendal, Arendal, Norway
Maria Kavanaugh, Oregon State University
Helen Lillis, Joint Nature Conservation Committee, Peterborough, UK
Eleonora Lillis Lillis, Joint Nature Conservation Committee, Peterborough, UK
Frank Muller-Karger, Institute for Marine Remote SensingFollow
Bjorn Nyberg, University of Bergen
Rost Parsons, National Oceanographic Data Center, NOAA, Silver Spring, MD, USA
Justin Saarinen, Institute for Marine Remote Sensing
Jac Steiner, University of Colorado Denver
Adam Reed, Integrated Ocean and Coastal Mapping, NOAA, Silver Spring, MD, USA

Document Type

Article

Publication Date

2019

Keywords

Coastline, coastal ecosystems, global shoreline mapping, global islands database, Blue Planet

Digital Object Identifier (DOI)

https://doi.org/10.1080/1755876X.2018.1529714

Abstract

A new 30-m spatial resolution global shoreline vector (GSV) was developed from annual composites of 2014 Landsat satellite imagery. The semi-automated classification of the imagery was accomplished by manual selection of training points representing water and non-water classes along the entire global coastline. Polygon topology was applied to the GSV, resulting in a new characterisation of the number and size of global islands. Three size classes of islands were mapped: continental mainlands (5), islands greater than 1 km2 (21,818), and islands smaller than 1 km2 (318,868). The GSV represents the shore zone land and water interface boundary, and is a spatially explicit ecological domain separator between terrestrial and marine environments. The development and characteristics of the GSV are presented herein. An approach is also proposed for delineating standardised, high spatial resolution global ecological coastal units (ECUs). For this coastal ecosystem mapping effort, the GSV will be used to separate the nearshore coastal waters from the onshore coastal lands. The work to produce the GSV and the ECUs is commissioned by the Group on Earth Observations (GEO), and is associated with several GEO initiatives including GEO Ecosystems, GEO Marine Biodiversity Observation Network (MBON) and GEO Blue Planet.

Rights Information

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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Citation / Publisher Attribution

Journal of Operational Oceanography, v. 12, issue sup2, p. S47-S56

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