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Archive · collection · 2018

Benthic and substrate cover data derived from field photo-transect surveys for the Far Northern management region of the Great Barrier Reef

Listed in PANGAEA

Description

Field photos were uploaded to the CoralNet machine learning interface (coralnet.ucsd.edu/). A presviously trained subset of photoquadrats were uploaded as training images. Fifty annotation points were overlaid on all Great Barrier Reef (GBR) Legacy images and each was assigned a benthic cover category from a label list automatically by the program.

The resulting benthic cover data of each photo was linked to gps coordinates, saved as an ArcMap point shapefile, and projected to Universal Transverse Mercator WGS84 Zone 55 South.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 65%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
PANGAEAoai:pangaea.de:doi:10.1594/PANGAEA.89173614 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · PANGAEAconnector:pangaea@1.0.0
concepts[field].local:field:earth-environmentalmapping · PANGAEAconnector:pangaea@1.0.0
concepts[modality].local:modality:imageenrichment · PANGAEAkeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · PANGAEAconnector:pangaea@1.0.0/metadata/dc/description
licensesource · PANGAEAconnector:pangaea@1.0.0/metadata/dc/rights
publication_datesource · PANGAEAconnector:pangaea@1.0.0
spatialsource · PANGAEAconnector:pangaea@1.0.0
titlesource · PANGAEAconnector:pangaea@1.0.0/metadata/dc/title