Remote sensing based detection and spatial pattern analysis for geo-ecological niche modeling of Tillandsia SPP. in the AtacamaAMA, CHILE

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dc.catalogadoryvc
dc.contributor.authorWolf, N.
dc.contributor.authorSiegmund, A.
dc.contributor.authorRío López, Camilo Del
dc.contributor.authorOsses Mc Intyre, Pablo Eugenio
dc.contributor.authorGarcía Barriga, Juan Luis
dc.date.accessioned2024-08-22T16:17:22Z
dc.date.available2024-08-22T16:17:22Z
dc.date.issued2016
dc.description.abstractIn the coastal Atacama Desert in Northern Chile plant growth is constrained to so-called 'fog oases' dominated by monospecific stands of the genus Tillandsia. Adapted to the hyperarid environmental conditions, these plants specialize on the foliar uptake of fog as main water and nutrient source. It is this characteristic that leads to distinctive macro-and micro-scale distribution patterns, reflecting complex geo-ecological gradients, mainly affected by the spatiotemporal occurrence of coastal fog respectively the South Pacific Stratocumulus clouds reaching inlands. The current work employs remote sensing, machine learning and spatial pattern/GIS analysis techniques to acquire detailed information on the presence and state of Tillandsia spp. in the Tarapaca region as a base to better understand the bioclimatic and topographic constraints determining the distribution patterns of Tillandsia spp. Spatial and spectral predictors extracted from WorldView-3 satellite data are used to map present Tillandsia vegetation in the Tarapaca region. Regression models on Vegetation Cover Fraction (VCF) are generated combining satellite-based as well as topographic variables and using aggregated high spatial resolution information on vegetation cover derived from UAV flight campaigns as a reference. The results are a first step towards mapping and modelling the topographic as well as bioclimatic factors explaining the spatial distribution patterns of Tillandsia fog oases in the Atacama, Chile.
dc.fechaingreso.objetodigital2024-08-20
dc.format.extent6 páginas
dc.fuente.origenConveris
dc.identifier.doi10.5194/isprsarchives-XLI-B2-251-2016
dc.identifier.eissn2194-9034
dc.identifier.issn1682-1750
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/87602
dc.identifier.wosidWOS:000392747900038
dc.information.autorucInstituto de Geografía;Río López, Camilo Del; 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.issue.numeroB2
dc.language.isoen
dc.nota.accesocontenido completo
dc.pagina.final256
dc.pagina.inicio251
dc.relation.ispartofCongress ISPRS : XXIII : 2016 : Prague, Czech Republic
dc.revistaThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
dc.rightsacceso abierto
dc.subjectWorldView-3
dc.subjectFog ecosystems
dc.subjectSpatio-spectral classification
dc.subjectGeo-ecological modelling
dc.subject.ddc900
dc.subject.deweyHistoria y geografíaes_ES
dc.titleRemote sensing based detection and spatial pattern analysis for geo-ecological niche modeling of Tillandsia SPP. in the AtacamaAMA, CHILE
dc.typecomunicación de congreso
dc.volumen41
sipa.codpersvinculados17960
sipa.codpersvinculados91302
sipa.codpersvinculados9823
sipa.trazabilidadConveris;20-07-2021
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