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Article: Predicting land-cover changes with gray systems theory and multitemporal aerial photographs

TitlePredicting land-cover changes with gray systems theory and multitemporal aerial photographs
Authors
Pu, RuiliangGong, Peng
Issue Date1998
Citation
Geographic Information Sciences, 1998, v. 4, n. 1-2, p. 73-79 How to Cite?
DOI: http://dx.doi.org/10.1080/10824009809480506
AbstractIn this study, we report a new technique based on gray systems theory for land-cover change prediction. Historical land-cover data were obtained from aerial photo interpretation. Change prediction was carried out for seven land-cover types in Claremont Canyon, Alameda County, California. The prediction results demonstrated that the prediction technique was effective. © 1998 Taylor & Francis Group, LLC.
Persistent Identifierhttp://hdl.handle.net/10722/296825
ISSN
1082-4006

 

DC FieldValueLanguage
dc.contributor.authorPu, Ruiliang-
dc.contributor.authorGong, Peng-
dc.date.accessioned2021-02-25T15:16:46Z-
dc.date.available2021-02-25T15:16:46Z-
dc.date.issued1998-
dc.identifier.citationGeographic Information Sciences, 1998, v. 4, n. 1-2, p. 73-79-
dc.identifier.issn1082-4006-
dc.identifier.urihttp://hdl.handle.net/10722/296825-
dc.description.abstractIn this study, we report a new technique based on gray systems theory for land-cover change prediction. Historical land-cover data were obtained from aerial photo interpretation. Change prediction was carried out for seven land-cover types in Claremont Canyon, Alameda County, California. The prediction results demonstrated that the prediction technique was effective. © 1998 Taylor & Francis Group, LLC.-
dc.languageeng-
dc.relation.ispartofGeographic Information Sciences-
dc.titlePredicting land-cover changes with gray systems theory and multitemporal aerial photographs-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/10824009809480506-
dc.identifier.scopuseid_2-s2.0-85023993451-
dc.identifier.volume4-
dc.identifier.issue1-2-
dc.identifier.spage73-
dc.identifier.epage79-
dc.identifier.issnl1082-4006-

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