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...

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Bibliographic Details
Main Author: Beltran, Roxanne
Format: Dataset
Language:English
Published: Dryad 2023
Subjects:
UAS
UAV
Online Access:https://dx.doi.org/10.5061/dryad.g4f4qrfwp
https://datadryad.org/stash/dataset/doi:10.5061/dryad.g4f4qrfwp
id ftdatacite:10.5061/dryad.g4f4qrfwp
record_format openpolar
spelling ftdatacite:10.5061/dryad.g4f4qrfwp 2024-02-04T10:00:09+01:00 Evaluating the efficacy of drone-based thermal images for measuring wildlife abundance and physiology ... Beltran, Roxanne 2023 https://dx.doi.org/10.5061/dryad.g4f4qrfwp https://datadryad.org/stash/dataset/doi:10.5061/dryad.g4f4qrfwp en eng Dryad https://dx.doi.org/10.5281/zenodo.10055833 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 FOS Biological sciences drone UAS UAV Dataset dataset 2023 ftdatacite https://doi.org/10.5061/dryad.g4f4qrfwp10.5281/zenodo.10055833 2024-01-05T04:51:50Z 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 ... : # Evaluating the efficacy of drone-based thermal images for measuring wildlife abundance and physiology ## Code/Software * Drone Dryad 2023_10_17.R can be used to reproduce the statistical analyses and figures in the paper. ## Description of the data and file structure * AI Seal - Sheet1.csv headers: (number of seals counted for each drone flight) * Date = drone flight date * Type = method for image analysis * Number = number of seals * All Seal Temperature Data Combined.csv (seal temperature and weather to analyze relationships between the two) * Date = drone flight date * Time = drone flight time * Location = beach location of drone flight * Seal ID/Number = unique identifier * Seal Temperature (C) = external skin temperature measurement, in degrees Celcius * Ambient Temperature (C) = air temperature measurement, in degrees Celcius * Wind Speed (MPH) = wind speed, in miles per hour * JM_data.csv (seal size and temperature data to analyze relationships between the two) * filename = name of image * type = ... Dataset 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 English
topic FOS Biological sciences
drone
UAS
UAV
spellingShingle FOS Biological sciences
drone
UAS
UAV
Beltran, Roxanne
Evaluating the efficacy of drone-based thermal images for measuring wildlife abundance and physiology ...
topic_facet FOS Biological sciences
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 ... : # Evaluating the efficacy of drone-based thermal images for measuring wildlife abundance and physiology ## Code/Software * Drone Dryad 2023_10_17.R can be used to reproduce the statistical analyses and figures in the paper. ## Description of the data and file structure * AI Seal - Sheet1.csv headers: (number of seals counted for each drone flight) * Date = drone flight date * Type = method for image analysis * Number = number of seals * All Seal Temperature Data Combined.csv (seal temperature and weather to analyze relationships between the two) * Date = drone flight date * Time = drone flight time * Location = beach location of drone flight * Seal ID/Number = unique identifier * Seal Temperature (C) = external skin temperature measurement, in degrees Celcius * Ambient Temperature (C) = air temperature measurement, in degrees Celcius * Wind Speed (MPH) = wind speed, in miles per hour * JM_data.csv (seal size and temperature data to analyze relationships between the two) * filename = name of image * type = ...
format Dataset
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 Dryad
publishDate 2023
url https://dx.doi.org/10.5061/dryad.g4f4qrfwp
https://datadryad.org/stash/dataset/doi:10.5061/dryad.g4f4qrfwp
genre Elephant Seals
genre_facet Elephant Seals
op_relation https://dx.doi.org/10.5281/zenodo.10055833
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.g4f4qrfwp10.5281/zenodo.10055833
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