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Atlantic grey seal breeding colonies in Hay and Saddle Islands, Nova Scotia
Citatie
Seymour, A., Dale, J., Hammill, M., Halpin, P and Johnston, D. 2017. Automated detection and enumeration of marine wildlife using unmanned aircraft systems (UAS) and thermal imagery. Scientific Reports. 7: 45127. https://marineinfo.org/doc/dataset/5832

Toegang tot data
Gearchiveerde data

Beschrijving
Original provider: Duke Marine Robotics and Remote Sensing Lab Dataset credits: Duke Marine Robotics and Remote Sensing Lab Abstract: These RGB mosaics and thermal indices of Atlantic grey seal colonies at Hay and Saddle Island, Nova Scotia, were collected by small unmanned aircraft systems (UAS). The mosaics and thermal indices were assessed by human analysts, who counted the seals in the mosaic and classified individuals as 'young of the year' or 'adult'. meer

Concurrently, an automated detection and classification model was applied to the datasets and compared to human counts. Purpose: These datasets were used to assess Atlantic grey seal populations and to compare and test wildlife survey methods. Supplemental information: The downloadable shapefile includes TIFF images of RGB mosaics and thermal indices. The size of the zipped file is 1GB and may take a long time to download. Within the dowloaded file, the 'Analysis Materials' folders contain point shapefiles of the seals counted and classified by human analysts. In addition, the folders contain the landscape masks that were applied to the thermal indices before running the automated detection models.

Afstamming
Prior to publication data undergo quality control checked which are described in https://github.com/EMODnet/EMODnetBiocheck?tab=readme-ov-file#understanding-the-output

Scope
Thema's:
Biologie > Zoogdieren
Kernwoorden:
Marien/Kust, Biogeografische gebieden, Biota, Computer vision, Geen beperkingen op publieke toegang, Geowetenschappelijke informatie, Habitats en biotopen, Mariene ecologie, Metadata niet conform, Metadata niet gecontroleerd, Milieu, Oceanen, Unmanned aerial vehicles, WGS84 (EPSG:4326), XYZ ASCII, Zeegebieden, ANW, Canada, St. Lawrence Gulf, EurOBIS calculated BBOX, Halichoerus grypus (Fabricius, 1791)

Geografische spreiding
ANW, Canada, St. Lawrence Gulf [Marine Regions]
EurOBIS calculated BBOX Stations
Bounding Box
Coördinaten: MinLong: -63,2525; MinLat: 45,8138 - MaxLong: -59,683; MaxLat: 46,0247 [WGS84]

Spreiding in de tijd
30 Januari 2015 - 2 Februari 2015

Taxonomic coverage
Halichoerus grypus (Fabricius, 1791) [WoRMS]

Bijdrage door
Duke University; Marine Geospatial Ecology Lab, meerdata creator

Gerelateerde datasets
Gepubliceerd in:
EurOBIS: European Ocean Biodiversity Information System, meer


Dataset status: Afgelopen
Data type: Data
Data oorsprong: Onderzoek: veldonderzoek
Datum van vrijgave: 2018-03-13
Metadatarecord aangemaakt: 2017-10-03
Informatie laatst gewijzigd: 2025-03-26
Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid