Data from: Evaluating the target‐tracking performance of scanning avian radars by augmenting data with simulated echoes ...
1. Small scanning radars have been used for many years to track the movements of insects, birds, and bats. While the ability to track multiple flying animals simultaneously has numerous applications in basic ecology and applied conservation, translating radar tracks into accurate animal densities an...
Main Authors: | , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
Dryad
2020
|
Subjects: | |
Online Access: | https://dx.doi.org/10.5061/dryad.3n5tb2rd2 https://datadryad.org/stash/dataset/doi:10.5061/dryad.3n5tb2rd2 |
id |
ftdatacite:10.5061/dryad.3n5tb2rd2 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.5061/dryad.3n5tb2rd2 2024-02-04T10:04:50+01:00 Data from: Evaluating the target‐tracking performance of scanning avian radars by augmenting data with simulated echoes ... Urmy, Samuel Warren, Joseph 2020 https://dx.doi.org/10.5061/dryad.3n5tb2rd2 https://datadryad.org/stash/dataset/doi:10.5061/dryad.3n5tb2rd2 en eng Dryad https://dx.doi.org/10.1111/2041-210x.13365 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 aeroecology common terns radar ornithology roseate terns target tracking Dataset dataset 2020 ftdatacite https://doi.org/10.5061/dryad.3n5tb2rd210.1111/2041-210x.13365 2024-01-05T04:39:59Z 1. Small scanning radars have been used for many years to track the movements of insects, birds, and bats. While the ability to track multiple flying animals simultaneously has numerous applications in basic ecology and applied conservation, translating radar tracks into accurate animal densities and fluxes requires estimates of detection and tracking probabilities. These can be challenging to determine, especially in environments with variable background clutter. 2. In order to assess radar tracking probabilities, we added echoes from simulated bird tracks to sequences of scans collected with an X-band marine radar at a colony of common and roseate terns (Sterna hirundo and S. dougallii) on Great Gull Island, New York, USA in the summers of 2014 and 2015. Automated detection, classification, and tracking algorithms were used to extract the trajectories of terns from the radar data. The proportion of simulated tracks recovered by these procedures could then be used to estimate the tracking probabilities for ... Dataset Sterna hirundo DataCite Metadata Store (German National Library of Science and Technology) Gull Island ENVELOPE(-55.315,-55.315,49.533,49.533) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
aeroecology common terns radar ornithology roseate terns target tracking |
spellingShingle |
aeroecology common terns radar ornithology roseate terns target tracking Urmy, Samuel Warren, Joseph Data from: Evaluating the target‐tracking performance of scanning avian radars by augmenting data with simulated echoes ... |
topic_facet |
aeroecology common terns radar ornithology roseate terns target tracking |
description |
1. Small scanning radars have been used for many years to track the movements of insects, birds, and bats. While the ability to track multiple flying animals simultaneously has numerous applications in basic ecology and applied conservation, translating radar tracks into accurate animal densities and fluxes requires estimates of detection and tracking probabilities. These can be challenging to determine, especially in environments with variable background clutter. 2. In order to assess radar tracking probabilities, we added echoes from simulated bird tracks to sequences of scans collected with an X-band marine radar at a colony of common and roseate terns (Sterna hirundo and S. dougallii) on Great Gull Island, New York, USA in the summers of 2014 and 2015. Automated detection, classification, and tracking algorithms were used to extract the trajectories of terns from the radar data. The proportion of simulated tracks recovered by these procedures could then be used to estimate the tracking probabilities for ... |
format |
Dataset |
author |
Urmy, Samuel Warren, Joseph |
author_facet |
Urmy, Samuel Warren, Joseph |
author_sort |
Urmy, Samuel |
title |
Data from: Evaluating the target‐tracking performance of scanning avian radars by augmenting data with simulated echoes ... |
title_short |
Data from: Evaluating the target‐tracking performance of scanning avian radars by augmenting data with simulated echoes ... |
title_full |
Data from: Evaluating the target‐tracking performance of scanning avian radars by augmenting data with simulated echoes ... |
title_fullStr |
Data from: Evaluating the target‐tracking performance of scanning avian radars by augmenting data with simulated echoes ... |
title_full_unstemmed |
Data from: Evaluating the target‐tracking performance of scanning avian radars by augmenting data with simulated echoes ... |
title_sort |
data from: evaluating the target‐tracking performance of scanning avian radars by augmenting data with simulated echoes ... |
publisher |
Dryad |
publishDate |
2020 |
url |
https://dx.doi.org/10.5061/dryad.3n5tb2rd2 https://datadryad.org/stash/dataset/doi:10.5061/dryad.3n5tb2rd2 |
long_lat |
ENVELOPE(-55.315,-55.315,49.533,49.533) |
geographic |
Gull Island |
geographic_facet |
Gull Island |
genre |
Sterna hirundo |
genre_facet |
Sterna hirundo |
op_relation |
https://dx.doi.org/10.1111/2041-210x.13365 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.3n5tb2rd210.1111/2041-210x.13365 |
_version_ |
1789973560995872768 |