Data · dataset · 2026
Digital video aerial surveys of seabirds and marine megafauna in the Gulf of Maine from May 2023 to January 2024
Listed in GBIF
Original provider: Biodiversity Research Institute Dataset credits: Biodiversity Research Institute HiDef Aerial Surveying Limited Bureau of Ocean Energy Management (BOEM)
Description
Abstract
In April 2023, the Biodiversity Research Institute (BRI) commissioned HiDef Aerial Surveying Limited (HiDef) to conduct high-resolution digital video aerial surveys in the Gulf of Maine. The surveys aimed to record marine megafauna, seabirds, and human activity. The designated survey area is approximately 5 km off the coast of Maine A total of four surveys were conducted between May 2023 and January 2024.
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HiDef designed the survey using 2.5 km- and 5 km-spaced transects across the Gulf of Maine survey area, covering approximately 6,673 km². Surveys were undertaken using an aircraft equipped with four HiDef cameras with a sensor package designed and calibrated to achieve a resolution of 1.5cm Ground Sample Distance (GSD). Each camera sampled a strip of ~ 104m width, separated from the next camera by ~ 17m, to provide a combined sampled width of 416m within a 467m overall strip.
All four cameras were analyzed, achieving approximately 10% coverage of the survey area during each flight. Data analysis followed a two-stage process in which video footage was reviewed (with a 20% random sample used for audit) and detected objects were identified to species or species group level (again with 20% selected at random for audit). The audit of both stages requires 90% agreement to be achieved.
The surveys recorded a total of 7,248 birds of 33 species and 534 non-avian animals of 12 species, in addition to two dead birds. A further 409 birds and 58 non-avian animals were recorded which were not assigned to a species. An identification rate to species level of 94% was achieved throughout the survey period.
Links
Get the data
- Darwin Core Archive ipt.env.duke.edu/archive.do?r=zd_2316 ↗
download · from gbif
Where it is published
- GBIF dataset page gbif.org/dataset/afdb36af-70e2-4553-bd9b-c129f212cfdc ↗
landing page · from gbif
- DOI doi.org/10.82144/f863df46 ↗
DOI / persistent id · from gbif
Documentation and papers
- Publisher page seamap.env.duke.edu/dataset/2316 ↗
documentation · from gbif
Catalogue records · 1
- GBIF API api.gbif.org/v1/dataset/afdb36af-70e2-4553-bd9b-c129f212cfdc ↗
metadata API · from gbif
Topics
- From keywords
- Life Sciences
- Inferred from text
- Video 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| GBIF | afdb36af-70e2-4553-bd9b-c129f212cfdc | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · gbif | connector:gbif@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · gbif | connector:gbif@1.0.0 | |
| concepts[modality].local:modality:video | enrichment · gbif | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · gbif | connector:gbif@1.0.0 | |
| description | source · gbif | connector:gbif@1.0.0 | /description |
| license | source · gbif | connector:gbif@1.0.0 | |
| publication_date | source · gbif | connector:gbif@1.0.0 | |
| spatial | source · gbif | connector:gbif@1.0.0 | |
| temporal | source · gbif | connector:gbif@1.0.0 | |
| title | source · gbif | connector:gbif@1.0.0 | /title |
| updated_date | source · gbif | connector:gbif@1.0.0 |