Remote sensing-based framework for forecasting forest fire danger conditions over boreal forest

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dc.contributor.advisorHassan, Quazi K.
dc.contributor.authorAkther, Musa. Shammi
dc.date.accessioned2017-12-18T22:26:22Z
dc.date.available2017-12-18T22:26:22Z
dc.date.issued2011
dc.descriptionBibliography: p. 74-85en
dc.descriptionSome pages are in colour.en
dc.format.extentxiv, 122 leaves : ill. ; 30 cm.en
dc.identifier.citationAkther, M. S. (2011). Remote sensing-based framework for forecasting forest fire danger conditions over boreal forest (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/4494en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/4494
dc.identifier.urihttp://hdl.handle.net/1880/105495
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.titleRemote sensing-based framework for forecasting forest fire danger conditions over boreal forest
dc.typemaster thesis
thesis.degree.disciplineGeomatics Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.thesis.accessionTheses Collection 58.002:Box 1991 627942841
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
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