Remote sensing based mapping of Tillandsia fields-A semi-automatic detection approach in the hyperarid coastal Atacama Desert, northern Chile

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dc.article.number104821
dc.catalogadorjlo
dc.contributor.authorMikulane, Signe
dc.contributor.authorSiegmund, Alexander
dc.contributor.authorDel Rio López, Camilo
dc.contributor.authorKoch, Marcus A.
dc.contributor.authorOsses Mc Intyre, Pablo Eugenio
dc.contributor.authorGarcía Barriga, Juan Luis
dc.date.accessioned2024-08-19T20:14:38Z
dc.date.available2024-08-19T20:14:38Z
dc.date.issued2022
dc.description.abstractUnique fog ecosystems that occur inland along the Chilean coastal desert are dominated by Tillandsia landbeckii. The average annual precipitation in this hyperarid area lies below 1 mm per year. Tillandsia are specialized in the foliar uptake of fog as a main source of water. The detailed mapping of the distribution of Tillandsia is lacking, making it difficult to understand their geo-ecological niche and to determine the impacts that climate change may have on this species. The objective of this study is to create a detailed spatial distribution of Tillandsia in the Atacama Desert in northern Chile based on remote sensing semi-automatic detection process. For this purpose, high-resolution WorldView-3 optical satellite data has been acquired. The extraction of Tillandsia was done with ENVI Deep Learning tools. As a result, a map of Tillandsia has been created. Several fields were found between Cerro Huantajaya in the north and Cerro Soronal in the south in the study area between 800 and 1300 m a.s.l. For validation purposes ground truth data has been used. The overall accuracy of this classification is 92.02%. The results can be used as a basis for geo-ecological niche modeling, further monitoring and for the development of conservation strategies.
dc.format.extent11 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.jaridenv.2022.104821
dc.identifier.eissn1095-922X
dc.identifier.issn0140-1963
dc.identifier.urihttp://doi.org/10.1016/j.jaridenv.2022.104821
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/87511
dc.identifier.wosidWOS:000826307600001
dc.information.autorucInstituto de Geografía; Del Rio López, Camilo; 0000-0002-6817-431X; 17960
dc.information.autorucInstituto de Geografía; Osses Mc Intyre, Pablo Eugenio; 0000-0001-8102-7296; 91302
dc.information.autorucInstituto de Geografía; García Barriga, Juan Luis; 0000-0002-9028-7572; 9823
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final11
dc.pagina.inicio1
dc.revistaJournal of Arid Environments
dc.rightsacceso restringido
dc.subjectAtacama desert
dc.subjectDeep learning tools
dc.subjectFog ecosystem
dc.subjectRemote sensing
dc.subjectTillandsia detection
dc.subjectTillandsia landbeckii
dc.subject.ddc550
dc.subject.deweyCiencias de la tierraes_ES
dc.titleRemote sensing based mapping of Tillandsia fields-A semi-automatic detection approach in the hyperarid coastal Atacama Desert, northern Chile
dc.typeartículo
dc.volumen205
sipa.codpersvinculados17960
sipa.codpersvinculados91302
sipa.codpersvinculados9823
sipa.trazabilidadWOS;2022-10-11
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