HEAL DSpace

Ontology-based documentation of land degradation assessment from satellite images

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dc.contributor.author Tomai, E en
dc.contributor.author Herlin, I en
dc.contributor.author Berroir, J en
dc.contributor.author Prastacos, P en
dc.date.accessioned 2014-03-01T01:31:35Z
dc.date.available 2014-03-01T01:31:35Z
dc.date.issued 2009 en
dc.identifier.issn 0143-1161 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/19830
dc.subject.classification Remote Sensing en
dc.subject.classification Imaging Science & Photographic Technology en
dc.subject.other Application domains en
dc.subject.other Assessment process en
dc.subject.other Common software en
dc.subject.other End users en
dc.subject.other Expert knowledge en
dc.subject.other Hierarchical structures en
dc.subject.other Land degradation en
dc.subject.other Ontology-based en
dc.subject.other Reusability of software en
dc.subject.other Satellite images en
dc.subject.other Computer software reusability en
dc.subject.other Degradation en
dc.subject.other Reusability en
dc.subject.other Ontology en
dc.subject.other data assimilation en
dc.subject.other environmental assessment en
dc.subject.other land degradation en
dc.subject.other parameterization en
dc.subject.other satellite data en
dc.subject.other satellite imagery en
dc.subject.other software en
dc.title Ontology-based documentation of land degradation assessment from satellite images en
heal.type journalArticle en
heal.identifier.primary 10.1080/01431160802558709 en
heal.identifier.secondary http://dx.doi.org/10.1080/01431160802558709 en
heal.language English en
heal.publicationDate 2009 en
heal.abstract In this paper, we introduce the idea of documenting operational chains for land degradation assessment using ontologies. We believe that this process will help end users better understand the application domain characteristics and evaluate the results of the assessment process. Since the application domain is wide, various operational chains for land degradation assessment and their associated documentation exist, according to different options. This parameterization process causes the development of different ontologies, which nonetheless are, to a certain extent, linked because of the common software components of the corresponding operational chains. We therefore propose a hierarchical structure of these ontologies; so that several requirements such as understanding of expert knowledge interconnections and of application domain variety, documentation and assimilation of new expert knowledge, and reusability of software components become feasible. © 2009 Taylor & Francis. en
heal.publisher TAYLOR & FRANCIS LTD en
heal.journalName International Journal of Remote Sensing en
dc.identifier.doi 10.1080/01431160802558709 en
dc.identifier.isi ISI:000268277600002 en
dc.identifier.volume 30 en
dc.identifier.issue 13 en
dc.identifier.spage 3315 en
dc.identifier.epage 3330 en


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