Estimating the spatial position of marine mammals based on digital camera recordings

Estimating the spatial position of organisms is essential to quantify interactions between the organism and the characteristics of its surroundings, for example, predator-prey interactions, habitat selection, and social associations. Because marine mammals spend most of their time under water and ma...

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Published in:Ecology and Evolution
Main Authors: Hoekendijk, Jeroen P. A., de Vries, Jurre, van der Bolt, Krissy, Greinert, Jens, Brasseur, Sophie, Camphuysen, Kees C. J., Aarts, Geert
Format: Article in Journal/Newspaper
Language:English
Published: 2015
Subjects:
Online Access:https://hdl.handle.net/11370/78bd91ab-b1e7-424e-a515-7cb6e9e8bb47
https://research.rug.nl/en/publications/78bd91ab-b1e7-424e-a515-7cb6e9e8bb47
https://doi.org/10.1002/ece3.1353
https://pure.rug.nl/ws/files/40485928/Hoekendijk_et_al_2015_Ecology_and_Evolution.pdf
id ftunigroningenpu:oai:pure.rug.nl:publications/78bd91ab-b1e7-424e-a515-7cb6e9e8bb47
record_format openpolar
spelling ftunigroningenpu:oai:pure.rug.nl:publications/78bd91ab-b1e7-424e-a515-7cb6e9e8bb47 2024-02-04T10:01:01+01:00 Estimating the spatial position of marine mammals based on digital camera recordings Hoekendijk, Jeroen P. A. de Vries, Jurre van der Bolt, Krissy Greinert, Jens Brasseur, Sophie Camphuysen, Kees C. J. Aarts, Geert 2015-02 application/pdf https://hdl.handle.net/11370/78bd91ab-b1e7-424e-a515-7cb6e9e8bb47 https://research.rug.nl/en/publications/78bd91ab-b1e7-424e-a515-7cb6e9e8bb47 https://doi.org/10.1002/ece3.1353 https://pure.rug.nl/ws/files/40485928/Hoekendijk_et_al_2015_Ecology_and_Evolution.pdf eng eng https://research.rug.nl/en/publications/78bd91ab-b1e7-424e-a515-7cb6e9e8bb47 info:eu-repo/semantics/openAccess Hoekendijk , J P A , de Vries , J , van der Bolt , K , Greinert , J , Brasseur , S , Camphuysen , K C J & Aarts , G 2015 , ' Estimating the spatial position of marine mammals based on digital camera recordings ' , Ecology and Evolution , vol. 5 , no. 3 , pp. 578-589 . https://doi.org/10.1002/ece3.1353 Distance fine-scale distribution patterns harbour porpoise marine mammal photogrammetric theodolite tide video camera PORPOISES PHOCOENA-PHOCOENA HARBOR PORPOISES HABITAT SELECTION WADDEN SEA NORTH-SEA MARSDIEP INLET CETACEANS CURRENTS DENSITY article 2015 ftunigroningenpu https://doi.org/10.1002/ece3.1353 2024-01-11T00:38:43Z Estimating the spatial position of organisms is essential to quantify interactions between the organism and the characteristics of its surroundings, for example, predator-prey interactions, habitat selection, and social associations. Because marine mammals spend most of their time under water and may appear at the surface only briefly, determining their exact geographic location can be challenging. Here, we developed a photogrammetric method to accurately estimate the spatial position of marine mammals or birds at the sea surface. Digital recordings containing landscape features with known geographic coordinates can be used to estimate the distance and bearing of each sighting relative to the observation point. The method can correct for frame rotation, estimates pixel size based on the reference points, and can be applied to scenarios with and without a visible horizon. A set of R functions was written to process the images and obtain accurate geographic coordinates for each sighting. The method is applied to estimate the spatiotemporal fine-scale distribution of harbour porpoises in a tidal inlet. Video recordings of harbour porpoises were made from land, using a standard digital single-lens reflex (DSLR) camera, positioned at a height of 9.59m above mean sea level. Porpoises were detected up to a distance of 3136m (mean 596m), with a mean location error of 12m. The method presented here allows for multiple detections of different individuals within a single video frame and for tracking movements of individuals based on repeated sightings. In comparison with traditional methods, this method only requires a digital camera to provide accurate location estimates. It especially has great potential in regions with ample data on local (a)biotic conditions, to help resolve functional mechanisms underlying habitat selection and other behaviors in marine mammals in coastal areas. Article in Journal/Newspaper Harbour porpoise Phocoena phocoena University of Groningen research database Ecology and Evolution 5 3 578 589
institution Open Polar
collection University of Groningen research database
op_collection_id ftunigroningenpu
language English
topic Distance
fine-scale distribution patterns
harbour porpoise
marine mammal
photogrammetric
theodolite
tide
video camera
PORPOISES PHOCOENA-PHOCOENA
HARBOR PORPOISES
HABITAT SELECTION
WADDEN SEA
NORTH-SEA
MARSDIEP
INLET
CETACEANS
CURRENTS
DENSITY
spellingShingle Distance
fine-scale distribution patterns
harbour porpoise
marine mammal
photogrammetric
theodolite
tide
video camera
PORPOISES PHOCOENA-PHOCOENA
HARBOR PORPOISES
HABITAT SELECTION
WADDEN SEA
NORTH-SEA
MARSDIEP
INLET
CETACEANS
CURRENTS
DENSITY
Hoekendijk, Jeroen P. A.
de Vries, Jurre
van der Bolt, Krissy
Greinert, Jens
Brasseur, Sophie
Camphuysen, Kees C. J.
Aarts, Geert
Estimating the spatial position of marine mammals based on digital camera recordings
topic_facet Distance
fine-scale distribution patterns
harbour porpoise
marine mammal
photogrammetric
theodolite
tide
video camera
PORPOISES PHOCOENA-PHOCOENA
HARBOR PORPOISES
HABITAT SELECTION
WADDEN SEA
NORTH-SEA
MARSDIEP
INLET
CETACEANS
CURRENTS
DENSITY
description Estimating the spatial position of organisms is essential to quantify interactions between the organism and the characteristics of its surroundings, for example, predator-prey interactions, habitat selection, and social associations. Because marine mammals spend most of their time under water and may appear at the surface only briefly, determining their exact geographic location can be challenging. Here, we developed a photogrammetric method to accurately estimate the spatial position of marine mammals or birds at the sea surface. Digital recordings containing landscape features with known geographic coordinates can be used to estimate the distance and bearing of each sighting relative to the observation point. The method can correct for frame rotation, estimates pixel size based on the reference points, and can be applied to scenarios with and without a visible horizon. A set of R functions was written to process the images and obtain accurate geographic coordinates for each sighting. The method is applied to estimate the spatiotemporal fine-scale distribution of harbour porpoises in a tidal inlet. Video recordings of harbour porpoises were made from land, using a standard digital single-lens reflex (DSLR) camera, positioned at a height of 9.59m above mean sea level. Porpoises were detected up to a distance of 3136m (mean 596m), with a mean location error of 12m. The method presented here allows for multiple detections of different individuals within a single video frame and for tracking movements of individuals based on repeated sightings. In comparison with traditional methods, this method only requires a digital camera to provide accurate location estimates. It especially has great potential in regions with ample data on local (a)biotic conditions, to help resolve functional mechanisms underlying habitat selection and other behaviors in marine mammals in coastal areas.
format Article in Journal/Newspaper
author Hoekendijk, Jeroen P. A.
de Vries, Jurre
van der Bolt, Krissy
Greinert, Jens
Brasseur, Sophie
Camphuysen, Kees C. J.
Aarts, Geert
author_facet Hoekendijk, Jeroen P. A.
de Vries, Jurre
van der Bolt, Krissy
Greinert, Jens
Brasseur, Sophie
Camphuysen, Kees C. J.
Aarts, Geert
author_sort Hoekendijk, Jeroen P. A.
title Estimating the spatial position of marine mammals based on digital camera recordings
title_short Estimating the spatial position of marine mammals based on digital camera recordings
title_full Estimating the spatial position of marine mammals based on digital camera recordings
title_fullStr Estimating the spatial position of marine mammals based on digital camera recordings
title_full_unstemmed Estimating the spatial position of marine mammals based on digital camera recordings
title_sort estimating the spatial position of marine mammals based on digital camera recordings
publishDate 2015
url https://hdl.handle.net/11370/78bd91ab-b1e7-424e-a515-7cb6e9e8bb47
https://research.rug.nl/en/publications/78bd91ab-b1e7-424e-a515-7cb6e9e8bb47
https://doi.org/10.1002/ece3.1353
https://pure.rug.nl/ws/files/40485928/Hoekendijk_et_al_2015_Ecology_and_Evolution.pdf
genre Harbour porpoise
Phocoena phocoena
genre_facet Harbour porpoise
Phocoena phocoena
op_source Hoekendijk , J P A , de Vries , J , van der Bolt , K , Greinert , J , Brasseur , S , Camphuysen , K C J & Aarts , G 2015 , ' Estimating the spatial position of marine mammals based on digital camera recordings ' , Ecology and Evolution , vol. 5 , no. 3 , pp. 578-589 . https://doi.org/10.1002/ece3.1353
op_relation https://research.rug.nl/en/publications/78bd91ab-b1e7-424e-a515-7cb6e9e8bb47
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1002/ece3.1353
container_title Ecology and Evolution
container_volume 5
container_issue 3
container_start_page 578
op_container_end_page 589
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