Remotely Piloted Aircraft System (RPAS)-Based Wildlife Detection: A Review and Case Studies in Maritime Antarctica
DC Field | Value | Language |
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dc.contributor.author | Hyun, Chang-Uk | - |
dc.contributor.author | Park, Mijin | - |
dc.contributor.author | Lee, Won Young | - |
dc.date.accessioned | 2021-11-29T05:17:45Z | - |
dc.date.available | 2021-11-29T05:17:45Z | - |
dc.date.issued | 2020-12 | - |
dc.identifier.uri | https://repository.kopri.re.kr/handle/201206/13027 | - |
dc.description.abstract | Simple Summary Remotely piloted aircraft systems (RPAS) have been successfully applied in wildlife monitoring with imaging sensors to improve or to supplement conventional field observations. To effectively utilize this technique, we reviewed previous studies related to wildlife detection with RPAS. First, this study provides an overview of the applications of RPAS for wild animal studies from the perspective of individual detection and population surveys as well as behavioral studies. In terms of the RPAS payload, applying thermal-imaging sensors was determined to be advantageous in detecting homeothermic animals due to the thermal contrast with background habitat using case studies detecting southern elephant seal (Mirounga leonina) using RGB and thermal imaging sensors in King George Island, maritime Antarctica. In wildlife biology, it is important to conduct efficient observations and quantitative monitoring of wild animals. Conventional wildlife monitoring mainly relies on direct field observations by the naked eyes or through binoculars, on-site image acquisition at fixed spots, and sampling or capturing under severe areal constraints. Recently, remotely piloted aircraft systems (RPAS), also called drones or unmanned aerial vehicles (UAV), were successfully applied to detect wildlife with imaging sensors, such as RGB and thermal-imaging sensors, with superior detection capabilities to those of human observation. Here, we review studies with RPAS which has been increasingly used in wildlife detection and explain how an RPAS-based high-resolution RGB image can be applied to wild animal studies from the perspective of individual detection and population surveys as well as behavioral studies. The applicability of thermal-imaging sensors was also assessed with further information extractable from image analyses. In addition, RPAS-based case studies of acquisition of high-resolution RGB images for the purpose of detecting southern elephant seals (Mirounga leonina) and shape property extraction using thermal-imaging sensor in King George Island, maritime Antarctica is presented as applications in an extreme environment. The case studies suggest that currently available cost-effective small-sized RPAS, which are capable of flexible operation and mounting miniaturized imaging sensors, and are easily maneuverable even from an inflatable boat, can be an effective and supportive technique for both the visual interpretation and quantitative analysis of wild animals in low-accessible extreme or maritime environments. | en_US |
dc.language | English | en_US |
dc.language.iso | en | en_US |
dc.subject | Agriculture | en_US |
dc.subject | Veterinary Sciences | en_US |
dc.subject.classification | King Sejong Station | en_US |
dc.title | Remotely Piloted Aircraft System (RPAS)-Based Wildlife Detection: A Review and Case Studies in Maritime Antarctica | en_US |
dc.title.alternative | 무인기를 활용한 야생동물 탐지 연구: 리뷰 및 남극 동물을 활용한 사례 연구 | en_US |
dc.type | Article | en_US |
dc.identifier.bibliographicCitation | Hyun, Chang-Uk, Park, Mijin, Lee, Won Young. 2020. "Remotely Piloted Aircraft System (RPAS)-Based Wildlife Detection: A Review and Case Studies in Maritime Antarctica". <em>ANIMALS</em>, 10(12): 1-17. | - |
dc.citation.title | ANIMALS | en_US |
dc.citation.volume | 10 | en_US |
dc.citation.number | 12 | en_US |
dc.identifier.doi | 10.3390/ani10122387 | - |
dc.citation.startPage | 1 | en_US |
dc.citation.endPage | 17 | en_US |
dc.description.articleClassification | SCIE | - |
dc.description.jcrRate | JCR 2018:18.033 | en_US |
dc.subject.keyword | wildlife biology | en_US |
dc.subject.keyword | remotely piloted aircraft system | en_US |
dc.subject.keyword | UAV | en_US |
dc.subject.keyword | drone | en_US |
dc.subject.keyword | quantitative monitoring | en_US |
dc.subject.keyword | polar region | en_US |
dc.subject.keyword | thermal-imaging sensor | en_US |
dc.identifier.localId | 2020-0263 | - |
dc.identifier.scopusid | 2-s2.0-85097816133 | - |
dc.identifier.wosid | 000601869700001 | - |
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