Alternate title

VI004009

Date (Creation)

2021-07-29

Citation identifier

e912a9b8-1a08-4411-8b68-369ee9002a4f

Credit

Schill SR, Asner GP, McNulty VP, Pollock FJ, Croquer A, Vaughn NR, Escovar-Fadul X, Raber G and Shaver E (2021) Site Selectionfor Coral Reef Restoration Using Airborne Imaging Spectroscopy. Front. Mar. Sci. 8:698004. doi: 10.3389/fmars.2021.698004. Visit CaribbeanMarineMaps.tnc.org for more information or contact caribgis@tnc.org. caribgis@tnc.org Schill SR, Asner GP, McNulty VP, Pollock FJ, Croquer A, Vaughn NR, Escovar-Fadul X, Raber G and Shaver E (2021) Site Selectionfor Coral Reef Restoration Using Airborne Imaging Spectroscopy. Front. Mar. Sci. 8:698004. doi: 10.3389/fmars.2021.698004. Visit CaribbeanMarineMaps.tnc.org for more information or contact caribgis@tnc.org.

Point of contact

Organisation name	Individual name	Electronic mail address	Role
The Nature Conservancy		caribgis@tnc.org	Owner

GEMET - INSPIRE themes, version 1.0

• Oceanographic geographical features
• Habitats and biotopes

GEMET - Concepts, version 4.1.3

• habitat
• biotope

Access constraints

Other restrictions

Other constraints

no limitations to public access

Use constraints

Other restrictions

Other constraints

Data licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License. ( http://creativecommons.org/licenses/by-nc-sa/3.0/)

Spatial representation type

Vector

Denominator

200

Language

English

Topic category

• Biota
• Oceans

Begin date

2019-01-01

Reference system identifier

http://www.opengis.net/def/crs/EPSG/0/3857

Distribution format

Name	Version
Raster	1
GML	3.2.1

OnLine resource

Protocol	Linkage	Name
OGC:WMS	https://ows.emodnet-seabedhabitats.eu/geoserver/emodnet_view/wms	vi004009

Hierarchy level

Dataset

Statement

This map, as well as other related layers, was produced by The Nature Conservancy (TNC), the Asner Lab of Arizona State University, and Arizona State University's Global Airborne Observatory (GAO). GAO is an airborne laboratory that collects high resolution (1m) coral health and habitat information to inform effective coral outplanting site selection with increased survivorship. The GAO plane flies at an altitude of 1000m and collects 427 samples of light per pixel that correspond to the chemistry of corals, generating 324 GB/hour of data. Data is processed on a cluster machine matching spectrometer information with high-precision positioning data at an accuracy of 7-10cm. Hyperspectral imagery was collected by ASU's Global Airborne Observatory (GAO) for The Nature Conservancy in Saint Croix, U.S. Virgin Islands and the Dominican Republic. ASU derived high-resolution maps from this aerial data representing: bathymetry, live coral cover, fine habitat complexity, algal cover, seagrass cover, and sand cover. TNC scientists used water surface drone imagery to collect high-precision GPS data and to predict percent live coral to train the machine learning model. These datasets are available at CaribbeanMarineMaps.tnc.org. Live coral cover, algal cover, seagrass cover, and sand cover layers are percentage layers that have been converted to integers through multiplication by a factor of 100. For example, a live coral cover value of 2250 represents 22.5% live coral cover.

Metadata

File identifier

e912a9b8-1a08-4411-8b68-369ee9002a4f XML

Metadata language

English

Character set

UTF8

Hierarchy level

Dataset

Date stamp

2023-08-15T09:29:00

Metadata author

Organisation name	Individual name	Electronic mail address	Role
South Atlantic Environmental and Research Institue (SAERI)		info@saeri.ac info@saeri.ac.fk	Point of contact