Tree species mapping around reclaimed oil and gas wells sites using hyperspectral and Light Detection and Ranging (LiDAR) remote sensing

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dc.contributor.authorBanting, James
dc.contributor.authorUniversity of Lethbridge. Faculty of Arts and Science
dc.contributor.supervisorStaenz, Karl
dc.contributor.supervisorRochdi, Nadia
dc.date.accessioned2016-05-19T20:57:25Z
dc.date.available2016-05-19T20:57:25Z
dc.date.issued2016
dc.degree.levelMastersen_US
dc.description.abstractOil and gas activities in Alberta require disturbing forested lands, among other ecosystems, in order to extract resources. Due to the number of oil and gas sites requiring reclamation, monitoring can be problematic. Remote sensing provides cost-effective, timely, and repeatable data of these areas in support of monitoring efforts. Support Vector Machine (SVM) and Multiple Endmember Spectral Mixture Analysis (MESMA) were tested in order to identify tree species around reclaimed and abandoned well sites near Cold Lake, Alberta using CHRIS satellite imagery with and without airborne LiDAR data. A hierarchical classification approach was employed, which achieved an accuracy of 83.4 % when using SVM together with CHRIS imagery and LiDAR. This positive result indicates the ability of remote sensing to support reclamation management and monitoring objectives within Alberta’s forested areas.en_US
dc.description.sponsorshipNatural Science and Engineering Research Council of Canada (NSERC) CREATE scholarship (Advanced Methods, Education and Training in Hyperspectral Science and Technology; AMETHYST). Alberta Terrestrial Imaging Centre (ATIC). TECTERRA. Oil Sands Research and Information Network (OSRIN). Alberta Environment and Sustainable Resource Development (ESRD)en_US
dc.embargoNoen_US
dc.identifier.urihttps://hdl.handle.net/10133/4482
dc.language.isoen_CAen_US
dc.proquest.subject0799en_US
dc.proquest.subject0366en_US
dc.proquest.subject0536en_US
dc.proquestyesYesen_US
dc.publisherLethbridge, Alta : University of Lethbridge, Dept. of Geographyen_US
dc.publisher.departmentDepartment of Geographyen_US
dc.publisher.facultyArts and Scienceen_US
dc.relation.ispartofseriesThesis (University of Lethbridge. Faculty of Arts and Science)en_US
dc.subjectland cover monitoringen_US
dc.subjectreclamationen_US
dc.subjectremote sensingen_US
dc.subjectspectral dataen_US
dc.subjectstructural dataen_US
dc.subjecttree species mappingen_US
dc.titleTree species mapping around reclaimed oil and gas wells sites using hyperspectral and Light Detection and Ranging (LiDAR) remote sensingen_US
dc.typeThesisen_US
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