Data and scripts from: A semi-automated method for estimating Adelie penguin colony abundance from a fusion of multispectral and thermal imagery collected with Unoccupied Aircraft Systems

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Monitoring Adelie penguin (Pygoscelis adeliae) populations on the Western Antarctic Peninsula (WAP) provides information about the health of the species and the WAP marine ecosystem itself. In January 2017, surveys of Adelie penguin colonies at Avian Island and Torgersen Island off the WAP were conducted via unoccupied aircraft systems (UAS) collecting RGB, thermal, and multispectral imagery. A semi-automated workflow to count individual penguins using a fusion of multispectral and thermal imagery was developed and combined into a GIS workflow. This workflow isolates colonies using multispectral imagery and detects and counts individuals by thermal signatures. Two analysts conducted manual counts from synoptic RGB UAS imagery. The automated system deviated from analyst counts by -3.96% on Avian Island and by 17.83% on Torgersen Island. However, colony by colony comparisons revealed that greatest deviations occurred at larger colonies. Matched pairs analysis revealed no significant differences between automated and manual counts at both locations (p > 0.31) and linear regressions of colony sizes from both methods revealed significant positive relationships approaching unity (p < 0.0002. R2= 0.91). These results indicate that combining UAS surveys with sensor fusion techniques and semi-automated workflows provide efficient and accurate methods for monitoring seabird colonies in remote environments. ... [Read More]

Data Citation

Bird, C. N., Duprey, A. H., Dale, J., & Johnston, D. W. (2020). Data and scripts from: A semi-automated method for estimating Adelie penguin colony abundance from a fusion of multispectral and thermal imagery collected with Unoccupied Aircraft Systems. Duke Research Data Repository. https://doi.org/10.7924/r4cv4jq6j

Creator: Duprey, Allison H.
Dale, Julian
Bird, Clara N.
Johnston, David W.
DOI: 10.7924/r4cv4jq6j
Subject: Thermal imaging
ArcGIS
Unoccupied aircraft systems
Penguins
Image segmentation
Guano
Remote sensing
Semi-automated workflow
Multispectral imaging
Publication Date: September 8, 2020
ARK: ark:/87924/r4cv4jq6j
Affiliation: Marine Science and Conservation
Oregon State University, Hatfield Marine Science Center
University of North Carolina at Chapel Hill, College of Arts and Sciences, Environment, Ecology, and Energy Program
Publisher: Duke Research Data Repository
Type: Dataset
Format: CSV
SHP
RTF
TIF
PY
OVR
TXT
XML
TBX
Related Materials: Bird, C. N., Dawn, A. H., Dale, J., & Johnston, D. W. (2020). A Semi-Automated Method for Estimating Adélie Penguin Colony Abundance from a Fusion of Multispectral and Thermal Imagery Collected with Unoccupied Aircraft Systems. Remote Sensing, 12(22), 3692. https://doi.org/10.3390/rs12223692
Contact: Clara N. Bird: clara.bird@oregonstate.edu; 0000-0001-7763-7761
License: Creative Commons CC0 1.0 Universal
Title: Data and scripts from: A semi-automated method for estimating Adelie penguin colony abundance from a fusion of multispectral and thermal imagery collected with Unoccupied Aircraft Systems
License: http://creativecommons.org/publicdomain/zero/1.0/
Repository: Duke Research Data Repository

Title	Date Uploaded	Visibility	Actions
README.rtf	2020-09-08	Public	Download
FileManifest.txt	2020-09-08	Public	Download
Fig2.tiff	2020-09-08	Public	Download
ShapeFiles	2020-09-08	Public
Datasheets	2020-09-08	Public
ArcGIS	2020-09-08	Public
Orthomosaics	2020-09-08	Public

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