Literature DB >> 27564920

Feasibility of using high-resolution satellite imagery to assess vertebrate wildlife populations.

Michelle A LaRue1, Seth Stapleton2, Morgan Anderson3.   

Abstract

Although remote sensing has been used for >40 years to learn about Earth, use of very high-resolution satellite imagery (VHR) (<1-m resolution) has become more widespread over the past decade for studying wildlife. As image resolution increases, there is a need to understand the capabilities and limitations of this exciting new path in wildlife research. We reviewed studies that used VHR to examine remote populations of wildlife. We then determined characteristics of the landscape and the life history of species that made the studies amenable to use of satellite imagery and developed a list of criteria necessary for appropriate use of VHR in wildlife research. From 14 representative articles, we determined 3 primary criteria that must be met for a system and species to be appropriately studied with VHR: open landscape, target organism's color contrasts with the landscape, and target organism is of detectable size. Habitat association, temporal exclusivity, coloniality, landscape differentiation, and ground truthing increase the utility of VHR for wildlife research. There is an immediate need for VHR imagery in conservation research, particularly in remote areas of developing countries, where research can be difficult. For wildlife researchers interested in but unfamiliar with remote sensing resources and tools, understanding capabilities and current limitations of VHR imagery is critical to its use as a conservation and wildlife research tool.
© 2016 Society for Conservation Biology.

Keywords:  GIS; SIG; conservation research; investigación de la conservación; monitoreo poblacional; métodos de telemetría; population monitoring; remote-sensing methods

Mesh:

Year:  2016        PMID: 27564920     DOI: 10.1111/cobi.12809

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  6 in total

1.  The Potential of Satellite Imagery for Surveying Whales.

Authors:  Caroline Höschle; Hannah C Cubaynes; Penny J Clarke; Grant Humphries; Alex Borowicz
Journal:  Sensors (Basel)       Date:  2021-02-01       Impact factor: 3.576

2.  Insights from the first global population estimate of Weddell seals in Antarctica.

Authors:  Michelle LaRue; Leo Salas; Nadav Nur; David Ainley; Sharon Stammerjohn; Jean Pennycook; Melissa Dozier; Jon Saints; Kostas Stamatiou; Luke Barrington; Jay Rotella
Journal:  Sci Adv       Date:  2021-09-24       Impact factor: 14.136

3.  Remote sensing techniques for automated marine mammals detection: a review of methods and current challenges.

Authors:  Esteban N Rodofili; Vincent Lecours; Michelle LaRue
Journal:  PeerJ       Date:  2022-06-20       Impact factor: 3.061

4.  Mapping Arctic cetaceans from space: A case study for beluga and narwhal.

Authors:  Bertrand Charry; Emily Tissier; John Iacozza; Marianne Marcoux; Cortney A Watt
Journal:  PLoS One       Date:  2021-08-04       Impact factor: 3.240

5.  Using remote sensing to detect whale strandings in remote areas: The case of sei whales mass mortality in Chilean Patagonia.

Authors:  Peter T Fretwell; Jennifer A Jackson; Mauricio J Ulloa Encina; Vreni Häussermann; Maria J Perez Alvarez; Carlos Olavarría; Carolina S Gutstein
Journal:  PLoS One       Date:  2019-10-17       Impact factor: 3.240

6.  A comparison of baleen whale density estimates derived from overlapping satellite imagery and a shipborne survey.

Authors:  C C G Bamford; N Kelly; L Dalla Rosa; D E Cade; P T Fretwell; P N Trathan; H C Cubaynes; A F C Mesquita; L Gerrish; A S Friedlaender; J A Jackson
Journal:  Sci Rep       Date:  2020-07-31       Impact factor: 4.379

  6 in total

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