View In:
ArcGIS JavaScript
ArcGIS Online Map Viewer
ArcGIS Earth
ArcGIS Pro
Service Description: This resource was developed by the U.S. Geological Survey (USGS) in partnership with Esri and the Marine Biodiversity Observation Network (MBON). The underlying data are 4 million 1 km or shorter coastal segments, each of which is attributed with values from ten ecological settings variables representing the adjacent ocean, the adjacent land, and the coastline itself.
The 4 million coastal segments were classified into 81,000 coastal segment units (CSUs) using the Coastal and Marine Ecosystem Classification Standard (CMECS). Each distinct CSU is a segment with a unique combination of the classes of values of the ten ecological settings variables. The 4 million segments were also clustered into a set of 16 global groups of coastlines which are similar in the aggregate ecological setting described by the ten variables.
The complete set of methodological details and results from the global coastline segmentation analysis are available in Sayre et al. (2021).
The geospatial linework used for the global segmentation, classification, and clustering is the same Global Shoreline Vector (GSV) data used in the companion tool we developed for exploring the location, shape and size, and name of the islands of the planet. The derivation of the GSV from 30 m spatial resolution satellite imagery is described in Sayre et al. (2018).
Sayre, R., K. Butler, K. VanGraafeiland, S. Breyer, D. Wright, C. Frye, D. Karagulle, M. Martin, J. Cress, T. Allen, R. Allee, R. Parsons, B. Nyberg, M. Costello, F. Muller-Karger, and P. Harris. 2021. Earth’s Coastlines. In Wright, D. and C. Harder (eds), GIS For Science – Volume 3. Esri Press, Redlands, California.
Sayre, R., S. Noble, S. Hamann, R. Smith, D. Wright, S. Breyer, K. Butler, K. Van Graafeiland, C. Frye, D. Karagulle, D. Hopkins, D. Stephens, K. Kelly, Z, basher, D. Burton, J. Cress, K. Atkins, D. van Sistine, B. Friesen, B. Allee, T. Allen, P. Aniello, I Asaad, M. Costello, K. Goodin, P. Harris, M. Kavanaugh, H. Lillis, E. Manca, F. Muller-Karger, B. Nyberg, R. Parsons, J. Saarinen, J. Steiner, and A. Reed. 2018. A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized global ecological coastal units. Journal of Operational Oceanography – A Special Blue Planet Edition. DOI:10.1080/1755876X.2018.1529714.
Map Name: gceVector
Legend
All Layers and Tables
Dynamic Legend
Dynamic All Layers
Layers:
Description: This resource was developed by the U.S. Geological Survey (USGS) in partnership with Esri and the Marine Biodiversity Observation Network (MBON). The underlying data are 4 million 1 km or shorter coastal segments, each of which is attributed with values from ten ecological settings variables representing the adjacent ocean, the adjacent land, and the coastline itself.
The 4 million coastal segments were classified into 81,000 coastal segment units (CSUs) using the Coastal and Marine Ecosystem Classification Standard (CMECS). Each distinct CSU is a segment with a unique combination of the classes of values of the ten ecological settings variables. The 4 million segments were also clustered into a set of 16 global groups of coastlines which are similar in the aggregate ecological setting described by the ten variables.
The complete set of methodological details and results from the global coastline segmentation analysis are available in Sayre et al. (2021).
The geospatial linework used for the global segmentation, classification, and clustering is the same Global Shoreline Vector (GSV) data used in the companion tool we developed for exploring the location, shape and size, and name of the islands of the planet. The derivation of the GSV from 30 m spatial resolution satellite imagery is described in Sayre et al. (2018).
Sayre, R., K. Butler, K. VanGraafeiland, S. Breyer, D. Wright, C. Frye, D. Karagulle, M. Martin, J. Cress, T. Allen, R. Allee, R. Parsons, B. Nyberg, M. Costello, F. Muller-Karger, and P. Harris. 2021. Earth’s Coastlines. In Wright, D. and C. Harder (eds), GIS For Science – Volume 3. Esri Press, Redlands, California.
Sayre, R., S. Noble, S. Hamann, R. Smith, D. Wright, S. Breyer, K. Butler, K. Van Graafeiland, C. Frye, D. Karagulle, D. Hopkins, D. Stephens, K. Kelly, Z, basher, D. Burton, J. Cress, K. Atkins, D. van Sistine, B. Friesen, B. Allee, T. Allen, P. Aniello, I Asaad, M. Costello, K. Goodin, P. Harris, M. Kavanaugh, H. Lillis, E. Manca, F. Muller-Karger, B. Nyberg, R. Parsons, J. Saarinen, J. Steiner, and A. Reed. 2018. A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized global ecological coastal units. Journal of Operational Oceanography – A Special Blue Planet Edition. DOI:10.1080/1755876X.2018.1529714.
Copyright Text: USGS, Esri, MBON
Spatial Reference:
4326
(4326)
Single Fused Map Cache: false
Initial Extent:
XMin: -119.79728099700185
YMin: 14.822817327224968
XMax: -106.18488959845925
YMax: 30.450271389488833
Spatial Reference: 4326
(4326)
Full Extent:
XMin: -179.99983001099997
YMin: -60.78413125099996
XMax: 179.9999676750001
YMax: 83.66625409000005
Spatial Reference: 4326
(4326)
Units: esriDecimalDegrees
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title:
Author:
Comments: This resource was developed by the U.S. Geological Survey (USGS) in partnership with Esri and the Marine Biodiversity Observation Network (MBON). The underlying data are 4 million 1 km or shorter coastal segments, each of which is attributed with values from ten ecological settings variables representing the adjacent ocean, the adjacent land, and the coastline itself.
The 4 million coastal segments were classified into 81,000 coastal segment units (CSUs) using the Coastal and Marine Ecosystem Classification Standard (CMECS). Each distinct CSU is a segment with a unique combination of the classes of values of the ten ecological settings variables. The 4 million segments were also clustered into a set of 16 global groups of coastlines which are similar in the aggregate ecological setting described by the ten variables.
The complete set of methodological details and results from the global coastline segmentation analysis are available in Sayre et al. (2021).
The geospatial linework used for the global segmentation, classification, and clustering is the same Global Shoreline Vector (GSV) data used in the companion tool we developed for exploring the location, shape and size, and name of the islands of the planet. The derivation of the GSV from 30 m spatial resolution satellite imagery is described in Sayre et al. (2018).
Sayre, R., K. Butler, K. VanGraafeiland, S. Breyer, D. Wright, C. Frye, D. Karagulle, M. Martin, J. Cress, T. Allen, R. Allee, R. Parsons, B. Nyberg, M. Costello, F. Muller-Karger, and P. Harris. 2021. Earth’s Coastlines. In Wright, D. and C. Harder (eds), GIS For Science – Volume 3. Esri Press, Redlands, California.
Sayre, R., S. Noble, S. Hamann, R. Smith, D. Wright, S. Breyer, K. Butler, K. Van Graafeiland, C. Frye, D. Karagulle, D. Hopkins, D. Stephens, K. Kelly, Z, basher, D. Burton, J. Cress, K. Atkins, D. van Sistine, B. Friesen, B. Allee, T. Allen, P. Aniello, I Asaad, M. Costello, K. Goodin, P. Harris, M. Kavanaugh, H. Lillis, E. Manca, F. Muller-Karger, B. Nyberg, R. Parsons, J. Saarinen, J. Steiner, and A. Reed. 2018. A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized global ecological coastal units. Journal of Operational Oceanography – A Special Blue Planet Edition. DOI:10.1080/1755876X.2018.1529714.
Subject: Global Ecological Coastal Unit (ECU) data as a result of collaboration between USGS, Esri and MBON.
Category:
Keywords: global coastlines,coastlines
AntialiasingMode: Fast
TextAntialiasingMode: Force
Supports Dynamic Layers: true
MaxRecordCount: 2000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 19000000
Max Scale: 0
Supports Datum Transformation: true
Child Resources:
Info
Dynamic Layer
Supported Operations:
Export Map
Identify
QueryLegends
QueryDomains
Find
Return Updates