2019
DOI: 10.1371/journal.pone.0222088
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Detection of two Arctic birds in Greenland and an endangered bird in Korea using RGB and thermal cameras with an unmanned aerial vehicle (UAV)

Abstract: Unmanned aerial vehicles (UAVs), so-called ‘drones’, have been widely used to monitor wild animals. Here, we tested a UAV with red, green, and blue (RGB) and thermal cameras to detect free-living birds in a high Arctic region in North Greenland and in a restricted area in the Republic of Korea. Small flocks of molting pink-footed geese ( Anser brachyrhynchus ) near sea ice and incubating common ringed plovers ( Charadrius hiaticula ) in the Arctic environment were … Show more

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Cited by 30 publications
(24 citation statements)
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“…RPAS-based individual detection and population surveys extended include identifying and counting birds or mammals in cryptic habitats. When the RPAS is equipped with a thermal camera, the results can be used to easily discriminate homeothermic animal body temperatures from the surrounding backgrounds, such as rainforests with a partially exposed body through openings between leaves and clouds, preventing thermal radiation from passing through (e.g., detecting orangutans [ 61 ]) and sea ice revealing a high thermal contrast between bodies and snow/ice surface (e.g., identifying pink-footed geese ( Anser brachyrhynchus ) [ 44 ]). To improve detection quality, thermal cameras were used with RGB cameras [ 28 , 49 , 62 , 63 ], and white-spotted shapes were discovered in grayscale thermal images that could even detect small cryptic nests [ 44 , 51 , 64 ].…”
Section: Rpas Application For Wild Animal Detection and Monitoringmentioning
confidence: 99%
See 1 more Smart Citation
“…RPAS-based individual detection and population surveys extended include identifying and counting birds or mammals in cryptic habitats. When the RPAS is equipped with a thermal camera, the results can be used to easily discriminate homeothermic animal body temperatures from the surrounding backgrounds, such as rainforests with a partially exposed body through openings between leaves and clouds, preventing thermal radiation from passing through (e.g., detecting orangutans [ 61 ]) and sea ice revealing a high thermal contrast between bodies and snow/ice surface (e.g., identifying pink-footed geese ( Anser brachyrhynchus ) [ 44 ]). To improve detection quality, thermal cameras were used with RGB cameras [ 28 , 49 , 62 , 63 ], and white-spotted shapes were discovered in grayscale thermal images that could even detect small cryptic nests [ 44 , 51 , 64 ].…”
Section: Rpas Application For Wild Animal Detection and Monitoringmentioning
confidence: 99%
“…Cautiously operated RPAS reduces unexpected damage to human life by not piloting a manned aircraft or not exploring an unfamiliar area firsthand. This advantage produces fruitful results in extreme environments such as the polar regions [ 26 , 44 ] and deserts [ 93 ] or topographically inaccessible zones that researchers cannot easily approach, such as seaside cliffs [ 94 ].…”
Section: Rpas Use In Extreme Environments: Applications On Arctic mentioning
confidence: 99%
“…drones) are capable of moving fast, scanning forests from top to bottom and are very promising for expanding the scale of canopy surveys that are very useful in studying wildlife ecology. Drone imagery has proven useful for wildlife surveys in open areas, for example, guanaco [1], Artic birds [2], kangaroo [3], caribou [4], waterfowl [5], hippos [6], and crocodile [7]. Meanwhile, for animals living in tree canopies, UAVs are not widely used because of the difficulty of visually detecting these animals with standard aerial imagery.…”
Section: Introductionmentioning
confidence: 99%
“…In the past decade, unmanned aerial vehicle technology has entered a new era in wildlife research and monitoring [3][4][5]. Imagery from aerial surveys has been useful for surveys of animals in open areas; for example, counting elephant [6], Arctic birds [7], and hippos [8]. Aerial surveys to monitor wildlife in tropical areas are still rare because species live in rainforest habitat, where a thick canopy shades them from visual detection.…”
Section: Introductionmentioning
confidence: 99%