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Desertification Monitoring in Biskra, Algeria with Landsat Imagery by means of Supervised Classification and Change Detection Methods

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Desertification Monitoring in Biskra, Algeria with Landsat Imagery by means of Supervised Classification and Change Detection Methods

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dc.contributor.author Azzouzi, Soufiane Abdelaziz es_ES
dc.contributor.author Vidal Pantaleoni, Ana es_ES
dc.contributor.author Bentounes, Hadj Adda es_ES
dc.date.accessioned 2018-05-19T04:23:32Z
dc.date.available 2018-05-19T04:23:32Z
dc.date.issued 2017 es_ES
dc.identifier.uri http://hdl.handle.net/10251/102258
dc.description.abstract [EN] Desertification is one of the most important problems driven by global climatic change. There are many factors that contribute to the environmental degradation of the Sahara desert surroundings. The first one is related to human activities like the change of land use. Other factors include natural degradation due to change in temperature, humidity and wind. All these complex causes may lead to the movement of sand from the desert to other places like cities and roads, affecting everyday life. For that reason, desertification is being analyzed by governmental agencies in the affected countries. The present work studies this phenomenon in the city of Biskra (Algeria) using optical satellite images taken from the freely available Landsat program. It presents a methodology that could help in the temporal evaluation of the desertification process. Land Use and Land Cover (LULC) change detection in a period of twentyfive years has been carried out using Support Vector Machine (SVM) per object classification. Change indices have been also employed for assessing the degradation. Excellent results using low human operator cost have been fully validated by visual inspection. es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation.ispartof IEEE Access es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Change detection es_ES
dc.subject Desertification es_ES
dc.subject Landsat es_ES
dc.subject Land cover land change es_ES
dc.subject Supervised classification es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title Desertification Monitoring in Biskra, Algeria with Landsat Imagery by means of Supervised Classification and Change Detection Methods es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/ACCESS.2017.2700405 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.description.bibliographicCitation Azzouzi, SA.; Vidal Pantaleoni, A.; Bentounes, HA. (2017). Desertification Monitoring in Biskra, Algeria with Landsat Imagery by means of Supervised Classification and Change Detection Methods. IEEE Access. 5:9065-9072. doi:10.1109/ACCESS.2017.2700405 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1109/ACCESS.2017.2700405 es_ES
dc.description.upvformatpinicio 9065 es_ES
dc.description.upvformatpfin 9072 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 5 es_ES
dc.identifier.eissn 2169-3536 es_ES
dc.relation.pasarela S\336721 es_ES


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