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dc.contributor.authorHerrero Lantarón, Javier
dc.contributor.authorPolo Gómez, María José
dc.contributor.authorPimentel Leiva, Rafael
dc.date.accessioned2017-11-20T13:10:20Z
dc.date.available2017-11-20T13:10:20Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10396/15478
dc.description.abstractMediterranean mountainous regions constitute a climate change hotspot where snow plays a crucial role in water resources. The characteristic snow-patched distribution over these areas makes spatial resolution the limiting factor for its correct representation. This work assesses the estimation of snow cover area and the contribution of the patchy areas to the seasonal and annual regime of the snow in a semiarid mountainous range, the Sierra Nevada Mountains in southern Spain, by means of Landsat imagery combined with terrestrial photography (TP). Two methodologies were tested: (1) difference indexes to produce binary maps; and (2) spectral mixture analysis (SMA) to obtain fractional maps; their results were validated from “ground-truth” data by means of TP in a small monitored control area. Both methods provided satisfactory results when the snow cover was above 85% of the study area; below this threshold, the use of spectral mixture analysis is clearly recommended. Mixed pixels can reach up to 40% of the area during wet and cold years, their importance being larger as altitude increases, proving the usefulness of TP for assessing the accuracy of remote data sources. Mixed pixels identification allows for determining the more vulnerable areas facing potential changes of the snow regime due to global warming and climate variability.es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/es/es_ES
dc.sourceRemote Sens 9, 995 (2017)es_ES
dc.subjectSnowes_ES
dc.subjectSemiarid regionses_ES
dc.subjectTerrestrial photographyes_ES
dc.subjectLandsat TM and ETM+es_ES
dc.titleQuantifying Snow Cover Distribution in Semiarid Regions Combining Satellite and Terrestrial Imageryes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttp://dx.doi.org/10.3390/rs9100995es_ES
dc.relation.projectIDGobierno de España. CGL2014-58508Res_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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