Evaluating the efficacy of drone-based thermal images for measuring wildlife abundance and physiology ...
Monitoring the population dynamics and behaviors of wildlife is crucial for effective conservation. Although drones can provide a promising alternative to traditional monitoring methods, validation studies must be done to quantify the accuracy of drone-based abundance and distribution estimates in v...
Main Author: | |
---|---|
Format: | Software |
Language: | unknown |
Published: |
Zenodo
2023
|
Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.10055832 https://zenodo.org/doi/10.5281/zenodo.10055832 |
id |
ftdatacite:10.5281/zenodo.10055832 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.5281/zenodo.10055832 2023-12-31T10:06:26+01:00 Evaluating the efficacy of drone-based thermal images for measuring wildlife abundance and physiology ... Beltran, Roxanne 2023 https://dx.doi.org/10.5281/zenodo.10055832 https://zenodo.org/doi/10.5281/zenodo.10055832 unknown Zenodo https://dx.doi.org/10.5061/dryad.g4f4qrfwp https://dx.doi.org/10.5281/zenodo.10055833 MIT License https://opensource.org/licenses/MIT mit drone UAS UAV SoftwareSourceCode Software article 2023 ftdatacite https://doi.org/10.5281/zenodo.1005583210.5061/dryad.g4f4qrfwp10.5281/zenodo.10055833 2023-12-01T11:28:18Z Monitoring the population dynamics and behaviors of wildlife is crucial for effective conservation. Although drones can provide a promising alternative to traditional monitoring methods, validation studies must be done to quantify the accuracy of drone-based abundance and distribution estimates in various biological systems. Here, we investigate the use of drones equipped with high-resolution Red-Green-Blue (RGB) and thermal cameras, along with machine learning techniques, for assessments of abundance and physiology in northern elephant seals (Mirounga angustirostris). Aerial images of N=3,415 northern elephant seals were collected at Año Nuevo Reserve during N=24 drone flights, along with ambient air temperatures, wind speed, and time-of-day data. The two-dimensional footprints and surface temperatures of seals were measured from the images. Machine learning algorithms were applied to detect seals in the imagery, and model performance was evaluated. Our findings indicate that seal detection was more ... : Funding provided by: David and Lucile Packard FoundationCrossref Funder Registry ID: https://ror.org/032atxq54Award Number: ... Software Elephant Seals DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
drone UAS UAV |
spellingShingle |
drone UAS UAV Beltran, Roxanne Evaluating the efficacy of drone-based thermal images for measuring wildlife abundance and physiology ... |
topic_facet |
drone UAS UAV |
description |
Monitoring the population dynamics and behaviors of wildlife is crucial for effective conservation. Although drones can provide a promising alternative to traditional monitoring methods, validation studies must be done to quantify the accuracy of drone-based abundance and distribution estimates in various biological systems. Here, we investigate the use of drones equipped with high-resolution Red-Green-Blue (RGB) and thermal cameras, along with machine learning techniques, for assessments of abundance and physiology in northern elephant seals (Mirounga angustirostris). Aerial images of N=3,415 northern elephant seals were collected at Año Nuevo Reserve during N=24 drone flights, along with ambient air temperatures, wind speed, and time-of-day data. The two-dimensional footprints and surface temperatures of seals were measured from the images. Machine learning algorithms were applied to detect seals in the imagery, and model performance was evaluated. Our findings indicate that seal detection was more ... : Funding provided by: David and Lucile Packard FoundationCrossref Funder Registry ID: https://ror.org/032atxq54Award Number: ... |
format |
Software |
author |
Beltran, Roxanne |
author_facet |
Beltran, Roxanne |
author_sort |
Beltran, Roxanne |
title |
Evaluating the efficacy of drone-based thermal images for measuring wildlife abundance and physiology ... |
title_short |
Evaluating the efficacy of drone-based thermal images for measuring wildlife abundance and physiology ... |
title_full |
Evaluating the efficacy of drone-based thermal images for measuring wildlife abundance and physiology ... |
title_fullStr |
Evaluating the efficacy of drone-based thermal images for measuring wildlife abundance and physiology ... |
title_full_unstemmed |
Evaluating the efficacy of drone-based thermal images for measuring wildlife abundance and physiology ... |
title_sort |
evaluating the efficacy of drone-based thermal images for measuring wildlife abundance and physiology ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.10055832 https://zenodo.org/doi/10.5281/zenodo.10055832 |
genre |
Elephant Seals |
genre_facet |
Elephant Seals |
op_relation |
https://dx.doi.org/10.5061/dryad.g4f4qrfwp https://dx.doi.org/10.5281/zenodo.10055833 |
op_rights |
MIT License https://opensource.org/licenses/MIT mit |
op_doi |
https://doi.org/10.5281/zenodo.1005583210.5061/dryad.g4f4qrfwp10.5281/zenodo.10055833 |
_version_ |
1786838467335946240 |