Earth observation data for seabirds and their habitats: An introduction

Lonneke Goddijn-Murphy, Nina Jayne O'Hanlon, Neil James, Elizabeth Masden, Lonneke Goddijn-Murphy

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)
93 Downloads (Pure)

Abstract

Remote sensing, the science of obtaining information about objects or areas from a distance, has the potential to contribute greatly to conservation, ecology and biodiversity studies. Here, we introduce remote sensing capabilities that could contribute to seabird studies, covering remoting sensing of seabirds directly, and indirectly through remote sensing of seabird habitats. We focus on satellite remote sensing, as these data are the most readily available, and are mostly freely available, and we also present some additional Earth observation (EO) data. This is not an exhaustive list, rather a selection of practical and user-friendly data and tools that are publicly available. At present, the spatial resolution of optical commercial satellite imagery is high enough to identify the largest seabirds such as penguins and albatrosses. Military satellites are capable of higher resolutions that can detect 10 cm objects, but these are not available to the general public. Satellite observation and other EO datasets containing geographic and sea surface condition variables are useful for complementing seabird sightings and tracking data, with their associations justifiable for certain species, breeding status and locations. This paper is aimed at researchers in the fields of seabird conservation, ecology, and biodiversity whose research would benefit from satellite data and from knowing what data sources are available.
Original languageEnglish
Article number100619
Number of pages9
JournalRemote Sensing Applications: Society and Environment
Volume24
Issue number100619
Early online date31 Aug 2021
DOIs
Publication statusE-pub ahead of print - 31 Aug 2021

Keywords

  • Satellite data
  • Bird detection
  • Marine conservation
  • Marine ecology
  • Earth observation
  • Biodiversity

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