https://repository.kopri.re.kr/handle/201206/11563 2026-04-07T16:02:29Z 2026-04-07T16:02:29Z Miller, Brian S. Balcazar, Naysa Nieukirk, Sharon Leroy, Emmanuelle C. Aulich, Meghan Shabangu, Fannie W. Dziak, Robert P. Lee, Won Sang Hong, Jong Kuk https://repository.kopri.re.kr/handle/201206/13581 2022-07-07T04:42:32Z 2021-01-12T00:00:00Z

Title: An open access dataset for developing automated detectors of Antarctic baleen whale sounds and performance evaluation of two commonly used detectors Authors: Miller, Brian S.; Balcazar, Naysa; Nieukirk, Sharon; Leroy, Emmanuelle C.; Aulich, Meghan; Shabangu, Fannie W.; Dziak, Robert P.; Lee, Won Sang; Hong, Jong Kuk Abstract: Since 2001, hundreds of thousands of hours of underwater acoustic recordings have been made throughout the Southern Ocean south of 60° S. Detailed analysis of the occurrence of marine mammal sounds in these circumpolar recordings could provide novel insights into their ecology, but manual inspection of the entirety of all recordings would be prohibitively time consuming and expensive. Automated signal processing methods have now developed to the point that they can be applied to these data in a cost-effective manner. However training and evaluating the efficacy of these automated signal processing methods still requires a representative annotated library of sounds to identify the true presence and absence of different sound types. This work presents such a library of annotated recordings for the purpose of training and evaluating automated detectors of Antarctic blue and fin whale calls. Creation of the library has focused on the annotation of a representative sample of recordings to ensure that automated algorithms can be developed and tested across a broad range of instruments, locations, environmental conditions, and years. To demonstrate the utility of the library, we characterise the performance of two automated detection algorithms that have been commonly used to detect stereotyped calls of blue and fin whales. The availability of this library will facilitate development of improved detectors for the acoustic presence of Southern Ocean blue and fin whales. It can also be expanded upon to facilitate standardization of subsequent analysis of spatiotemporal trends in call-density of these circumpolar species. Description: Group Author : IWC-SORP SOOS Acoustic Trends Work (IWC-SORP SOOS Acoustic Trends Work)

2021-01-12T00:00:00Z Pour, Amin Beiranvand Sekandari, Milad Rahmani, Omeid Crispini, Laura Laeufer, Andreas Park, Yongcheol Hong, Jong Kuk Pradhan, Biswajeet Hashim, Mazlan Hossain, Mohammad Shawkat Muslim, Aidy M. Mehranzamir, Kamyar https://repository.kopri.re.kr/handle/201206/11789 2022-03-24T07:14:51Z 2020-01-01T00:00:00Z

Title: Identification of Phyllosilicates in the Antarctic Environment Using ASTER Satellite Data: Case Study from the Mesa Range, Campbell and Priestley Glaciers, Northern Victoria Land Authors: Pour, Amin Beiranvand; Sekandari, Milad; Rahmani, Omeid; Crispini, Laura; Laeufer, Andreas; Park, Yongcheol; Hong, Jong Kuk; Pradhan, Biswajeet; Hashim, Mazlan; Hossain, Mohammad Shawkat; Muslim, Aidy M.; Mehranzamir, Kamyar Abstract: In Antarctica, spectral mapping of altered minerals is very challenging due to the remoteness and inaccessibility of poorly exposed outcrops. This investigation evaluates the capability of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite remote sensing imagery for mapping and discrimination of phyllosilicate mineral groups in the Antarctic environment of northern Victoria Land. The Mixture-Tuned Matched-Filtering (MTMF) and Constrained Energy Minimization (CEM) algorithms were used to detect the sub-pixel abundance of Al-rich, Fe3+-rich, Fe2+-rich and Mg-rich phyllosilicates using the visible and near-infrared (VNIR), short-wave infrared (SWIR) and thermal-infrared (TIR) bands of ASTER. Results indicate that Al-rich phyllosilicates are strongly detected in the exposed outcrops of the Granite Harbour granitoids, Wilson Metamorphic Complex and the Beacon Supergroup. The presence of the smectite mineral group derived from the Jurassic basaltic rocks (Ferrar Dolerite and Kirkpatrick Basalts) by weathering and decomposition processes implicates Fe3+-rich and Fe2+-rich phyllosilicates. Biotite (Fe2+-rich phyllosilicate) is detected associated with the Granite Harbour granitoids,Wilson Metamorphic Complex and Melbourne Volcanics. Mg-rich phyllosilicates are mostly mapped in the scree, glacial drift, moraine and crevasse fields derived from weathering and decomposition of the Kirkpatrick Basalt and Ferrar Dolerite. Chlorite (Mg-rich phyllosilicate) was generally mapped in the exposures of Granite Harbour granodiorite and granite and partially identified in the Ferrar Dolerite, the Kirkpatrick Basalt, the Priestley Formation and Priestley Schist and the scree, glacial drift and moraine. Statistical results indicate that Al-rich phyllosilicates class pixels are strongly discriminated, while the pixels attributed to Fe3+-rich class, Fe2+-rich and Mg-rich phyllosilicates classes contain some spectral mixing due to their subtle spectral differences in the VNIR+SWIR bands of ASTER. Results derived from TIR bands of ASTER show that a high level of confusion is associated with mafic phyllosilicates pixels (Fe3+-rich, Fe2+-rich and Mg-rich classes), whereas felsic phyllosilicates (Al-rich class) pixels are well mapped. Ground truth with detailed geological data, petrographic study and X-ray diffraction (XRD) analysis verified the remote sensing results. Consequently, ASTER image-map of phyllosilicate minerals is generated for the Mesa Range, Campbell and Priestley Glaciers, northern Victoria Land of Antarctica.

2020-01-01T00:00:00Z