| dc.contributor | PUBLIC LIBRARY SCIENCE | es |
| dc.contributor.author | Fretwell, Peter T. | |
| dc.contributor.author | Jackson, Jennifer A. | |
| dc.contributor.author | Ulloa Encina, Mauricio J. | |
| dc.contributor.author | Haussermann, Vreni | |
| dc.contributor.author | Pérez Alvarez, María J. [Univ Mayor, Fac Ciencias, Escuela Med Vet, Chile] | |
| dc.contributor.author | Olavarria, Carlos | |
| dc.contributor.author | Gutstein, Carolina S. | |
| dc.date.accessioned | 2021-10-28T17:52:36Z | |
| dc.date.available | 2021-10-28T17:52:36Z | |
| dc.date.issued | 2019 | |
| dc.identifier.citation | Fretwell PT, Jackson JA, Ulloa Encina MJ, Ha¨ussermann V, Perez Alvarez MJ, Olavarrı´a C, et al. (2019) Using remote sensing to detect whale strandings in remote areas: The case of sei whales mass mortality in Chilean Patagonia. PLoS ONE 14 (10): e0222498. https://doi.org/10.1371/journal. pone.0222498 | es |
| dc.identifier.issn | 1932-6203 | |
| dc.identifier.other | WOS: 000532567300011 | |
| dc.identifier.other | PMID: 31622348 | |
| dc.identifier.uri | http://repositorio.umayor.cl/xmlui/handle/sibum/8068 | |
| dc.identifier.uri | https://storage.googleapis.com/plos-corpus-prod/10.1371/journal.pone.0222498/1/pone.0222498.pdf?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=wombat-sa%40plos-prod.iam.gserviceaccount.com%2F20211028%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211028T174611Z&X-Goog-Expires=86400&X-Goog-SignedHeaders=host&X-Goog-Signature=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 | |
| dc.identifier.uri | https://doi.org/10.1371/journal.pone.0225209 | |
| dc.identifier.uri | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797088/pdf/pone.0222498.pdf | |
| dc.description.abstract | We test the ability of Very High Resolution satellite (VHR) imagery to detect stranded whales using both manual and automated methods. We use the 2015 mass mortality event in the Gulf of Penas locality, central Patagonia, Chile, as an initial case study. This event was the largest known mass mortality of baleen whales, with at least 343 whales, mainly sei whales (Balaenoptera borealis), documented as stranding. However, even with such a large number of whales, due to the remote location of the gulf the strandings went unrecorded for several weeks. Aerial and boat surveys of the area were conducted two to four months after the mortality event. In this study we use 50cm resolution WorldView2 imagery to identify and count strandings from two archival images acquired just after the stranding event and two months before the aerial and ground surveys, and to test manual and automated methods of detecting stranded whales. Our findings show that whales are easily detected manually in the images but due to the heterogeneous colouration of decomposing whales, spectral indices are unsuitable for automatic detection. Our satellite counts suggest that, at the time the satellite images were taken, more whales were stranded than recorded in the aerial survey, possibly due to the non-comprehensive coverage of the aerial survey or movement of the carcases between survey acquisition. With even higher resolution imagery now available, satellite imagery may be a cost effective alternative to aerial surveys for future assessment of the extent of mass whale stranding events, especially in remote and inaccessible areas. | es |
| dc.description.sponsorship | Part of this research was partially funded by Pew fellowship for marine conservation to VH, National Geographic Society/Waitt Grants Program #W380-15 to CSG, VH and MJP. Carolina S. Gutstein was funded by Programa de Investigacion Asociativa - Fondecyt (Anillo ACT172099 to Alexander Vargas) CONICYT-FONDECYT Postdoctoral Program No 3160710. Maria Jose Perez-Alvarez was funded by CONICYT Postdoctoral FONDECYT Program 3140513, Projects ICM P05-002 and PFB 023. VH thanks the Blue Marine Foundation and the Huinay Foundation for their support. Consultora Paleosuchus Ltd loaned equipment for the aerial survey of the Gulf of Penas. This is publication nr. 163 of Huinay Scientific Field Station. We would also like to acknowledge the additional contribution by British Antarctic Survey Innovation Voucher 1012017. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. | es |
| dc.format.extent | 17 p., PDF | es |
| dc.language.iso | en_US | es |
| dc.publisher | Chile. Universidad Mayor | es |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Chile | es |
| dc.title | Using remote sensing to detect whale strandings in remote areas: The case of sei whales mass mortality in Chilean Patagonia | es |
| dc.type | Artículo o Paper | es |
| umayor.indizador | COT | es |
| umayor.politicas.sherpa/romeo | Licencia CC BY 4.0. URL: https://v2.sherpa.ac.uk/id/publication/17599 | es |
| umayor.indexado | Web of Science | es |
| umayor.indexado | PUBMED | es |
| dc.identifier.doi | 10.1371/journal.pone.0222498 | |
| umayor.indicadores.wos-(cuartil) | Q2 | |
| umayor.indicadores.scopus-(scimago-sjr) | SJR 0.99 | |
| umayor.indicadores.scopus-(scimago-sjr) | SCIMAGO/ INDICE H: 332 H | |