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

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Moxley, JH; Bogomolni, A; Hammill, MO; Moore, KMT; Polito, MJ; Sette, L; Sharp, WB; Waring, GT; Gilbert, JR; Halpin, PN; Johnston, DW

Published Date

  • August 2017

Published In

Volume / Issue

  • 67 / 8

Start / End Page

  • 760 - 768

PubMed ID

  • 29599542

Pubmed Central ID

  • 29599542

Electronic International Standard Serial Number (EISSN)

  • 1525-3244

International Standard Serial Number (ISSN)

  • 0006-3568

Digital Object Identifier (DOI)

  • 10.1093/biosci/bix059

Language

  • eng