Using GPS data to evaluate the accuracy of state-space methods for correction of Argos satellite telemetry error
Recent Studies have applied state-space models to satellite telemetry data in order to remove noise from raw location estimates and infer the true tracks of animals. However, while the resulting tracks May appear plausible, it is difficult to determine the accuracy of the estimated positions, especi...
Published in: | Ecology |
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Main Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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2010
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Online Access: | https://research-portal.st-andrews.ac.uk/en/researchoutput/using-gps-data-to-evaluate-the-accuracy-of-statespace-methods-for-correction-of-argos-satellite-telemetry-error(26714006-19ca-4133-9cfc-96ae376e2e2a).html https://doi.org/10.1890/08-1480.1 http://www.esajournals.org/doi/pdf/10.1890/08-1480.1 |
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ftunstandrewcris:oai:research-portal.st-andrews.ac.uk:publications/26714006-19ca-4133-9cfc-96ae376e2e2a 2024-06-23T07:52:30+00:00 Using GPS data to evaluate the accuracy of state-space methods for correction of Argos satellite telemetry error Patterson, Toby A. McConnell, Bernie J. Fedak, Mike A. Bravington, Mark V. Hindell, Mark A. 2010-01 https://research-portal.st-andrews.ac.uk/en/researchoutput/using-gps-data-to-evaluate-the-accuracy-of-statespace-methods-for-correction-of-argos-satellite-telemetry-error(26714006-19ca-4133-9cfc-96ae376e2e2a).html https://doi.org/10.1890/08-1480.1 http://www.esajournals.org/doi/pdf/10.1890/08-1480.1 eng eng https://research-portal.st-andrews.ac.uk/en/researchoutput/using-gps-data-to-evaluate-the-accuracy-of-statespace-methods-for-correction-of-argos-satellite-telemetry-error(26714006-19ca-4133-9cfc-96ae376e2e2a).html info:eu-repo/semantics/restrictedAccess Patterson , T A , McConnell , B J , Fedak , M A , Bravington , M V & Hindell , M A 2010 , ' Using GPS data to evaluate the accuracy of state-space methods for correction of Argos satellite telemetry error ' , Ecology , vol. 91 , no. 1 , pp. 273-285 . https://doi.org/10.1890/08-1480.1 Argos error Fastloc GPS gray seal Halichoerus grypus Kalman filter marine mammals state space model SEA-SURFACE TEMPERATURE ANIMAL MOVEMENT LEATHERBACK TURTLES LOCATION ACCURACY ELEPHANT SEALS SOUTHERN-OCEAN TRACKING DATA CONSERVATION BEHAVIOR HABITAT article 2010 ftunstandrewcris https://doi.org/10.1890/08-1480.1 2024-06-13T00:30:24Z Recent Studies have applied state-space models to satellite telemetry data in order to remove noise from raw location estimates and infer the true tracks of animals. However, while the resulting tracks May appear plausible, it is difficult to determine the accuracy of the estimated positions, especially for position estimates interpolated to times between satellite locations. In this study, we use data from two gray seals (Halichoerus grypus) carrying, tags that transmitted Fastloc GPS positions via Argos satellites. This combination of Service Argos data and highly accurate GPS data allowed examination of the accuracy of state-space position estimates and their uncertainty derived from satellite telemetry data After applying a speed filter to remove aberrant satellite telemetry locations. we fit a continuous-time Kalman filter to estimate the parameters of I random walk, used Kalman smoothing to infer positions at the times of the GPS Measurements. and then compared the filtered telemetry estimates with the actual GPS Measurements. We investigated the effect of varying maximum speed thresholds in the speed-filtering algorithm oil the root mean-square error (RMSE) estimates and used minimum RMSE as a criterion to guide the final choice of speed threshold. The optimal speed thresholds differed between the two animals (1.1 m/s and 2.5 m/s) and retained 50% and 65% of the data for each seal. However, using a speed filter of 1.1 m/s resulted in very similar RMSE for both animals. For the two seals. the RMSE of the Kalman-filtered estimates of location were 5.9 and 12.76 km, respectively, and 75% of the modeled positions had errors less than 6.25 km and 11.7 km for each seal. Confidence interval coverage was close to correct at typical levels (80-95%), although it tended to be overly generous at smaller sizes. The reliability Of uncertainty estimates was also affected by the chosen sliced threshold. The combination of sliced and Kalman filtering allows for effective calculation of location and also indicates the ... Article in Journal/Newspaper Elephant Seals Southern Ocean University of St Andrews: Research Portal Southern Ocean Ecology 91 1 273 285 |
institution |
Open Polar |
collection |
University of St Andrews: Research Portal |
op_collection_id |
ftunstandrewcris |
language |
English |
topic |
Argos error Fastloc GPS gray seal Halichoerus grypus Kalman filter marine mammals state space model SEA-SURFACE TEMPERATURE ANIMAL MOVEMENT LEATHERBACK TURTLES LOCATION ACCURACY ELEPHANT SEALS SOUTHERN-OCEAN TRACKING DATA CONSERVATION BEHAVIOR HABITAT |
spellingShingle |
Argos error Fastloc GPS gray seal Halichoerus grypus Kalman filter marine mammals state space model SEA-SURFACE TEMPERATURE ANIMAL MOVEMENT LEATHERBACK TURTLES LOCATION ACCURACY ELEPHANT SEALS SOUTHERN-OCEAN TRACKING DATA CONSERVATION BEHAVIOR HABITAT Patterson, Toby A. McConnell, Bernie J. Fedak, Mike A. Bravington, Mark V. Hindell, Mark A. Using GPS data to evaluate the accuracy of state-space methods for correction of Argos satellite telemetry error |
topic_facet |
Argos error Fastloc GPS gray seal Halichoerus grypus Kalman filter marine mammals state space model SEA-SURFACE TEMPERATURE ANIMAL MOVEMENT LEATHERBACK TURTLES LOCATION ACCURACY ELEPHANT SEALS SOUTHERN-OCEAN TRACKING DATA CONSERVATION BEHAVIOR HABITAT |
description |
Recent Studies have applied state-space models to satellite telemetry data in order to remove noise from raw location estimates and infer the true tracks of animals. However, while the resulting tracks May appear plausible, it is difficult to determine the accuracy of the estimated positions, especially for position estimates interpolated to times between satellite locations. In this study, we use data from two gray seals (Halichoerus grypus) carrying, tags that transmitted Fastloc GPS positions via Argos satellites. This combination of Service Argos data and highly accurate GPS data allowed examination of the accuracy of state-space position estimates and their uncertainty derived from satellite telemetry data After applying a speed filter to remove aberrant satellite telemetry locations. we fit a continuous-time Kalman filter to estimate the parameters of I random walk, used Kalman smoothing to infer positions at the times of the GPS Measurements. and then compared the filtered telemetry estimates with the actual GPS Measurements. We investigated the effect of varying maximum speed thresholds in the speed-filtering algorithm oil the root mean-square error (RMSE) estimates and used minimum RMSE as a criterion to guide the final choice of speed threshold. The optimal speed thresholds differed between the two animals (1.1 m/s and 2.5 m/s) and retained 50% and 65% of the data for each seal. However, using a speed filter of 1.1 m/s resulted in very similar RMSE for both animals. For the two seals. the RMSE of the Kalman-filtered estimates of location were 5.9 and 12.76 km, respectively, and 75% of the modeled positions had errors less than 6.25 km and 11.7 km for each seal. Confidence interval coverage was close to correct at typical levels (80-95%), although it tended to be overly generous at smaller sizes. The reliability Of uncertainty estimates was also affected by the chosen sliced threshold. The combination of sliced and Kalman filtering allows for effective calculation of location and also indicates the ... |
format |
Article in Journal/Newspaper |
author |
Patterson, Toby A. McConnell, Bernie J. Fedak, Mike A. Bravington, Mark V. Hindell, Mark A. |
author_facet |
Patterson, Toby A. McConnell, Bernie J. Fedak, Mike A. Bravington, Mark V. Hindell, Mark A. |
author_sort |
Patterson, Toby A. |
title |
Using GPS data to evaluate the accuracy of state-space methods for correction of Argos satellite telemetry error |
title_short |
Using GPS data to evaluate the accuracy of state-space methods for correction of Argos satellite telemetry error |
title_full |
Using GPS data to evaluate the accuracy of state-space methods for correction of Argos satellite telemetry error |
title_fullStr |
Using GPS data to evaluate the accuracy of state-space methods for correction of Argos satellite telemetry error |
title_full_unstemmed |
Using GPS data to evaluate the accuracy of state-space methods for correction of Argos satellite telemetry error |
title_sort |
using gps data to evaluate the accuracy of state-space methods for correction of argos satellite telemetry error |
publishDate |
2010 |
url |
https://research-portal.st-andrews.ac.uk/en/researchoutput/using-gps-data-to-evaluate-the-accuracy-of-statespace-methods-for-correction-of-argos-satellite-telemetry-error(26714006-19ca-4133-9cfc-96ae376e2e2a).html https://doi.org/10.1890/08-1480.1 http://www.esajournals.org/doi/pdf/10.1890/08-1480.1 |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Elephant Seals Southern Ocean |
genre_facet |
Elephant Seals Southern Ocean |
op_source |
Patterson , T A , McConnell , B J , Fedak , M A , Bravington , M V & Hindell , M A 2010 , ' Using GPS data to evaluate the accuracy of state-space methods for correction of Argos satellite telemetry error ' , Ecology , vol. 91 , no. 1 , pp. 273-285 . https://doi.org/10.1890/08-1480.1 |
op_relation |
https://research-portal.st-andrews.ac.uk/en/researchoutput/using-gps-data-to-evaluate-the-accuracy-of-statespace-methods-for-correction-of-argos-satellite-telemetry-error(26714006-19ca-4133-9cfc-96ae376e2e2a).html |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1890/08-1480.1 |
container_title |
Ecology |
container_volume |
91 |
container_issue |
1 |
container_start_page |
273 |
op_container_end_page |
285 |
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1802643811908714496 |