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dc.contributor.authorAguilar Torres, Fernando José
dc.contributor.authorNemmaoui, Abderrahim
dc.contributor.authorAguilar Torres, Manuel
dc.contributor.authorChourak, Mimoun
dc.contributor.authorZarhloule, Yassine
dc.contributor.authorGarcía Lorca, Andrés Miguel
dc.date.accessioned2020-01-16T11:52:43Z
dc.date.available2020-01-16T11:52:43Z
dc.date.issued2016-01-15
dc.identifier.issn1999-4907
dc.identifier.urihttp://hdl.handle.net/10835/7397
dc.description.abstractA quantitative assessment of forest cover change in the Moulouya River watershed (Morocco) was carried out by means of an innovative approach from atmospherically corrected reflectance Landsat images corresponding to 1984 (Landsat 5 Thematic Mapper) and 2013 (Landsat 8 Operational Land Imager). An object-based image analysis (OBIA) was undertaken to classify segmented objects as forested or non-forested within the 2013 Landsat orthomosaic. A Random Forest classifier was applied to a set of training data based on a features vector composed of different types of object features such as vegetation indices, mean spectral values and pixel-based fractional cover derived from probabilistic spectral mixture analysis). The very high spatial resolution image data of Google Earth 2013 were employed to train/validate the Random Forest classifier, ranking the NDVI vegetation index and the corresponding pixel-based percentages of photosynthetic vegetation and bare soil as the most statistically significant object features to extract forested and non-forested areas. Regarding classification accuracy, an overall accuracy of 92.34% was achieved. The previously developed classification scheme was applied to the 1984 Landsat data to extract the forest cover change between 1984 and 2013, showing a slight net increase of 5.3% (ca. 8800 ha) in forested areas for the whole region.es_ES
dc.language.isoenes_ES
dc.publisherMDPIes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectdeforestationes_ES
dc.subjectOBIAes_ES
dc.subjectRandom Forest classifieres_ES
dc.subjectspectral mixture modelses_ES
dc.subjectLandsat dataes_ES
dc.titleA Quantitative Assessment of Forest Cover Change in the Moulouya River Watershed (Morocco) by the Integration of a Subpixel-Based and Object-Based Analysis of Landsat Dataes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://www.mdpi.com/1999-4907/7/1/23es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional