AVI multilayer forest classification using airborne image texture

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dc.contributor.advisorFranklin, Steven E.
dc.contributor.authorMoskal, Ludmila Monika
dc.coverage.spatial2000003587en
dc.coverage.spatial2000003588en
dc.date.accessioned2005-07-28T20:04:45Z
dc.date.available2005-07-28T20:04:45Z
dc.date.issued1999
dc.descriptionBibliography: p. 109-118en
dc.format.extentxi, 136 leaves ; ill. ; 30 cm.en
dc.identifier.citationMoskal, L. M. (1999). AVI multilayer forest classification using airborne image texture (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/19218en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/19218
dc.identifier.isbn061249649Xen
dc.identifier.lccSD 387 R4 M67 1999en
dc.identifier.urihttp://hdl.handle.net/1880/25205
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subject.lccSD 387 R4 M67 1999en
dc.subject.lcshForrests and forrestry - Alberta - Kananaskis Country - Classification
dc.subject.lcshRemote sensing - Alberta - Kananaskis Country
dc.subject.lcshAerial photography in forrestry
dc.titleAVI multilayer forest classification using airborne image texture
dc.typemaster thesis
thesis.degree.disciplineGeography
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
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