High-resolution remote sensing techniques for monitoring penguin colonies in the Ross Sea, Antarctica
DC Field | Value | Language |
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dc.contributor.author | Hyun, Chang-Uk | - |
dc.contributor.author | Kim, Jeong-Hoon | - |
dc.contributor.author | Chung, Hosung | - |
dc.contributor.author | Jung, Jin-Woo | - |
dc.contributor.author | Kim, Hyun-cheol | - |
dc.date.accessioned | 2021-08-09T02:34:48Z | - |
dc.date.available | 2021-08-09T02:34:48Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | https://repository.kopri.re.kr/handle/201206/12468 | - |
dc.description.abstract | Penguins have been recognized as one of the indicators of environmental changes (e.g. varying sea ice conditions) in Antarctica; therefore, monitoring penguin colonies is important for investigating the effects from the environmental changes. In this study, we applied high-resolution remote sensing techniques, i.e., high-resolution satellite imageries and unmanned aerial vehicle (UAV) images, for efficient monitoring Adelie penguin (Pygoscelis adeliae) colonies in the Ross Sea, Antarctica. It is reported that more than 30% of Adelie penguin population breed in the coastal areas in the Ross Sea. To precisely delineate the colonies, high-resolution imageries from multiple multispectral satellite sensors, e.g., WorldView-2, WorldView-3, Korea Multi-Purpose Satellite-2 (KOMPSAT-2), KOMPSAT-3, etc., were collected in the study areas. Ground truth data for spectral analysis of the colonies were collected using hyperspectral imaging camera during field investigation. Based on the collected field spectra, penguin colony potential index was proposed with a consideration of low solar angle condition in Antarctica, and then applied to the high-resolution satellite imageries. From the results of the satellite imagery based penguin colony mapping, the locations, areas and distribution of the colonies were identified. For more detailed investigation on the colonies, very high-resolution UAV images were acquired in Cape Hallett, Antarctica. The UAV image acquisition has merits of shorter operation duration than field investigation by researcher, decreased disturbance to colonies and penguins and providing vertical viewing geometry preventing overlapping between penguins during counting. The UAV images were mosaicked and then used for counting individual penguins. The counting individual penguins was conducted using Google’s tensorflow object detection application programming interface (API). These high-resolution remote sensing techniques can be applicable to the penguin colonies in other regions in Antarctica or other species of penguins, e.g., emperor penguin. | en_US |
dc.language | English | en_US |
dc.language.iso | en | en_US |
dc.title | High-resolution remote sensing techniques for monitoring penguin colonies in the Ross Sea, Antarctica | en_US |
dc.title.alternative | 남극 로스해 펭귄 서식지 모니터링을 위한 고해상도 원격탐사 기법 | en_US |
dc.type | Proceeding | en_US |
dc.identifier.bibliographicCitation | Hyun, Chang-Uk, et al. 2019. High-resolution remote sensing techniques for monitoring penguin colonies in the Ross Sea, Antarctica. XIII International Symposium on Antarctic Earth Sciences (ISAES 2019). Songdo Convensia, Incheon. 2019.07.22~2019.07.26. | - |
dc.citation.conferenceDate | 2019.07.22~2019.07.26 | en_US |
dc.citation.conferenceName | XIII International Symposium on Antarctic Earth Sciences (ISAES 2019) | en_US |
dc.citation.conferencePlace | Songdo Convensia, Incheon | en_US |
dc.description.articleClassification | Pro(초록)국외 | - |
dc.subject.keyword | Adelie penguin | en_US |
dc.subject.keyword | high-resolution satellite imagery | en_US |
dc.subject.keyword | unmanned aerial vehicle | en_US |
dc.identifier.localId | 2019-0392 | - |
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