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Google Haul Out: Earth Observation Imagery and Digital Aerial Surveys in Coastal Wildlife Management and Abundance Estimation.

Authors :
Moxley JH
Bogomolni A
Hammill MO
Moore KMT
Polito MJ
Sette L
Sharp WB
Waring GT
Gilbert JR
Halpin PN
Johnston DW
Source :
Bioscience [Bioscience] 2017 Aug 01; Vol. 67 (8), pp. 760-768. Date of Electronic Publication: 2017 Jun 14.
Publication Year :
2017

Abstract

As the sampling frequency and resolution of Earth observation imagery increase, there are growing opportunities for novel applications in population monitoring. New methods are required to apply established analytical approaches to data collected from new observation platforms (e.g., satellites and unmanned aerial vehicles). Here, we present a method that estimates regional seasonal abundances for an understudied and growing population of gray seals (Halichoerus grypus) in southeastern Massachusetts, using opportunistic observations in Google Earth imagery. Abundance estimates are derived from digital aerial survey counts by adapting established correction-based analyses with telemetry behavioral observation to quantify survey biases. The result is a first regional understanding of gray seal abundance in the northeast US through opportunistic Earth observation imagery and repurposed animal telemetry data. As species observation data from Earth observation imagery become more ubiquitous, such methods provide a robust, adaptable, and cost-effective solution to monitoring animal colonies and understanding species abundances.

Details

Language :
English
ISSN :
0006-3568
Volume :
67
Issue :
8
Database :
MEDLINE
Journal :
Bioscience
Publication Type :
Academic Journal
Accession number :
29599542
Full Text :
https://doi.org/10.1093/biosci/bix059