Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Point locations and species and behavioral identifications of colonial nesting seabirds on Maine's coastal islands interpreted from 2019 plane-based imagery

Metadata Updated: October 30, 2025

This dataset includes XY coordinates and species and behavioral observations of birds detected in aerial imagery captured over coastal islands along Maine's coast during 30 May. - 3 June 2019. The Partenavia P.68 Observer plane flew over 268 islands within the Gulf of Maine (GOM). The plane flew at an altitude of 310 m above ground level and was equipped with a PhaseOne iXU-RS1000 (100 megapixel) multispectral camera and 70 mm lens to capture 4-band (red, green, blue, (RGB) and near-infrared (NIR) light) imagery with a ground sampling distance of 2 cm/px. Timing for the aerial image collection was selected to reflect peak nesting periods for the focal species (Herring Gull, HERG; Great Black-backed Gull, GBBG; Double-crested Cormorant, DCCO; Common Eider, COEI; and terns, Tern spp.), during which one parent is typically present on the nest. Imagery was captured during daylight in clear weather (i.e., no rain or high winds) for ten separate surveys beginning at different times and with various flight path extents. Although the target was colonial nesting seabirds, any birds that could be identified were noted in the dataset. All images were orthorectified, georeferenced, and mosaicked into images spanning one or more islands. Three observers reviewed the images, identified detected birds to species and behavior, and reconciled any differences. The dataset includes the detections recorded by each observer and the reconciled species and behavior identification. Summaries of the methods and final counts are presented in two theses: Kline, Logan R. 2022. Characteristics contributing to uncertainty in image-based artificial intelligence classifications of colonial nesting birds. M.S. Thesis, Ecology and Environmental Sciences, University of Maine, Orono. 118 pp. Lewis, Meredith A. 2022. A bird's eye view: observer uncertainty in aerial image counts of colonial seabirds and an assessment of the status of coastal island gull and cormorant populations. M.S. Thesis, Ecology and Environmental Sciences, University of Maine, Orono. 113 pp.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date September 13, 2025
Metadata Updated Date October 30, 2025

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date September 13, 2025
Metadata Updated Date October 30, 2025
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/usgs-642d7360d34ee8d4add393cb
Data Last Modified 2023-04-17T00:00:00Z
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://ddi.doi.gov/usgs-data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 792e6cd2-ae08-4492-b503-2981a60f1f30
Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
Harvest Source Title DOI USGS DCAT-US
Metadata Type geospatial
Old Spatial -70.8838, 42.5854, -66.9287, 44.6530
Source Datajson Identifier True
Source Hash a8364ba14fdc07c834a9d5b267912632adf7124edda732511d135fa81fa66e32
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -70.8838, 42.5854, -70.8838, 44.6530, -66.9287, 44.6530, -66.9287, 42.5854, -70.8838, 42.5854}

Didn't find what you're looking for? Suggest a dataset here.