Advanced overview of multitemporal and hypertemporal remote sensing techniques

Hall-Beyer, Mryka

dc.contributor.author	Hall-Beyer, Mryka
dc.date.accessioned	2017-06-01T22:57:06Z
dc.date.available	2017-06-01T22:57:06Z
dc.date.issued	2017-05-25
dc.identifier.uri	http://hdl.handle.net/1880/52062
dc.description	This is a narrated Powerpoint. The text of the narration also appears in the notes. It will play on Adobe acrobat, however because of the audio it may take more than a minute to download before auto-opening. It may be preferable to download the file before playing, for slower connections.	en_US
dc.description.abstract	This item contains three parts: a narrated module providing an overview of practical and theoretical aspects of using remote sensing images of multiple dates; a case study of applying Principal Components Analysis (PCA) to a regional vegetation dataset to extract temporal patterns over 6 years; and a case study of applying harmonic analysis adapted for use with temporal spatial datasets to the extraction of data informing about spatial detail of ecoregional definition. The module and case studies are intended for the use of advanced remote sensing students and researchers. Material may be used and adapted/updated, with attribution.	en_US
dc.language.iso	en	en_US
dc.rights	Attribution Non-Commercial Share-Alike 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/4.0/	*
dc.subject	remote sensing	en_US
dc.subject	multitemporal	en_US
dc.subject	hypertemporal	en_US
dc.subject	change detection	en_US
dc.subject	principal components temporal	en_US
dc.subject	harmonic analysis	en_US
dc.title	Advanced overview of multitemporal and hypertemporal remote sensing techniques	en_US
dc.type	learning object	en_US
dc.description.refereed	No	en_US
dc.publisher.faculty	Arts	en_US
dc.publisher.department	Geography	en_US
dc.publisher.institution	University of Calgary	en_US
dc.identifier.doi	http://dx.doi.org/10.11575/PRISM/9990