A simple new algorithm to filter marine mammal Argos locations
Abstract During recent decades satellite telemetry using the Argos system has been used extensively to track many species of marine mammals. However, the aquatic behavior of most of these species results in a high number of locations with low or unknown accuracy. Argos data are often filtered to red...
Published in: | Marine Mammal Science |
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crwiley:10.1111/j.1748-7692.2007.00180.x 2024-06-23T07:46:28+00:00 A simple new algorithm to filter marine mammal Argos locations Freitas, Carla Lydersen, Christian Fedak, Michael A. Kovacs, Kit M. 2007 http://dx.doi.org/10.1111/j.1748-7692.2007.00180.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1748-7692.2007.00180.x https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1748-7692.2007.00180.x en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Marine Mammal Science volume 24, issue 2, page 315-325 ISSN 0824-0469 1748-7692 journal-article 2007 crwiley https://doi.org/10.1111/j.1748-7692.2007.00180.x 2024-06-13T04:21:43Z Abstract During recent decades satellite telemetry using the Argos system has been used extensively to track many species of marine mammals. However, the aquatic behavior of most of these species results in a high number of locations with low or unknown accuracy. Argos data are often filtered to reduce the noise produced by these locations, typically by removing data points requiring unrealistic swimming speeds. Unfortunately, this method excludes a considerable number of good‐quality locations that have high traveling speeds that are the result of two locations being taken very close in time. We present an alternative algorithm, based on swimming speed, distance between successive locations, and turning angles. This new filter was tested on 67 tracks from nine different marine mammal species: ringed, bearded, gray, harbor, southern elephant, and Antarctic fur seals, walruses, belugas, and narwhals. The algorithm removed similar percentages of low‐quality locations (Argos location classes [LC] B and A) compared to a filter based solely on swimming speed, but preserved significantly higher percentages of good‐quality positions (mean ± SE% of locations removed was 4.1 ± 0.8% vs. 12.6 ± 1.2% for LC 3; 6.8 ± 0.6% vs. 15.7 ± 0.9% for LC 2; and 11.4 ± 0.7% vs. 21.0 ± 0.9% for LC 1). The new filter was also more effective at removing unlikely, conspicuous deviations from the track's path, resulting in fewer locations being registered on land and a significant reduction in home range size, when using the Minimum Convex Polygon method, which is sensitive to outliers. Article in Journal/Newspaper Antarc* Antarctic Antarctic Fur Seals Beluga* narwhal* walrus* Wiley Online Library Antarctic Marine Mammal Science 24 2 315 325 |
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English |
description |
Abstract During recent decades satellite telemetry using the Argos system has been used extensively to track many species of marine mammals. However, the aquatic behavior of most of these species results in a high number of locations with low or unknown accuracy. Argos data are often filtered to reduce the noise produced by these locations, typically by removing data points requiring unrealistic swimming speeds. Unfortunately, this method excludes a considerable number of good‐quality locations that have high traveling speeds that are the result of two locations being taken very close in time. We present an alternative algorithm, based on swimming speed, distance between successive locations, and turning angles. This new filter was tested on 67 tracks from nine different marine mammal species: ringed, bearded, gray, harbor, southern elephant, and Antarctic fur seals, walruses, belugas, and narwhals. The algorithm removed similar percentages of low‐quality locations (Argos location classes [LC] B and A) compared to a filter based solely on swimming speed, but preserved significantly higher percentages of good‐quality positions (mean ± SE% of locations removed was 4.1 ± 0.8% vs. 12.6 ± 1.2% for LC 3; 6.8 ± 0.6% vs. 15.7 ± 0.9% for LC 2; and 11.4 ± 0.7% vs. 21.0 ± 0.9% for LC 1). The new filter was also more effective at removing unlikely, conspicuous deviations from the track's path, resulting in fewer locations being registered on land and a significant reduction in home range size, when using the Minimum Convex Polygon method, which is sensitive to outliers. |
format |
Article in Journal/Newspaper |
author |
Freitas, Carla Lydersen, Christian Fedak, Michael A. Kovacs, Kit M. |
spellingShingle |
Freitas, Carla Lydersen, Christian Fedak, Michael A. Kovacs, Kit M. A simple new algorithm to filter marine mammal Argos locations |
author_facet |
Freitas, Carla Lydersen, Christian Fedak, Michael A. Kovacs, Kit M. |
author_sort |
Freitas, Carla |
title |
A simple new algorithm to filter marine mammal Argos locations |
title_short |
A simple new algorithm to filter marine mammal Argos locations |
title_full |
A simple new algorithm to filter marine mammal Argos locations |
title_fullStr |
A simple new algorithm to filter marine mammal Argos locations |
title_full_unstemmed |
A simple new algorithm to filter marine mammal Argos locations |
title_sort |
simple new algorithm to filter marine mammal argos locations |
publisher |
Wiley |
publishDate |
2007 |
url |
http://dx.doi.org/10.1111/j.1748-7692.2007.00180.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1748-7692.2007.00180.x https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1748-7692.2007.00180.x |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Antarctic Fur Seals Beluga* narwhal* walrus* |
genre_facet |
Antarc* Antarctic Antarctic Fur Seals Beluga* narwhal* walrus* |
op_source |
Marine Mammal Science volume 24, issue 2, page 315-325 ISSN 0824-0469 1748-7692 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1111/j.1748-7692.2007.00180.x |
container_title |
Marine Mammal Science |
container_volume |
24 |
container_issue |
2 |
container_start_page |
315 |
op_container_end_page |
325 |
_version_ |
1802646088229847040 |