{"id":{"repo_id":"calgary","oai_identifier":"oai:ucalgary.scholaris.ca:1880/106259"},"canonical_url":"https://search.dev.ndltd.org/etd/calgary/oai:ucalgary.scholaris.ca:1880/106259","repository":{"repo_id":"calgary","name":"University of Calgary","base_url":"https://ucalgary.scholaris.ca/server/oai/request"},"display":{"title":"Quantifying the Impact of Seismic Lines on Methane Release in a Treed Bog Ecosystem using Unmanned Aerial Vehicles (UAVs)","abstract":"Peatlands are extremely complex and sensitive ecosystems, capable of releasing vast amounts of methane in response to disturbance events. To date, little advancement has been made by researchers to quantify the impact of small-scale anthropogenic disturbances on these ecosystems, specifically seismic lines. These “low-impact” linear features present a challenge to researchers as they exist at dimensions too small for the majority of remote-sensing platforms to successfully identify and measure, even though they account for a considerable portion of land disturbance in Canada’s western Boreal, and are anticipated to have extensive, compounding environmental effects. This thesis summarizes how unmanned aerial vehicle photogrammetry can be used to address this knowledge gap by showcasing the ability to generate accurate peatland terrain models, and subsequently estimate seismic-line impacts on both physical parameters (microtopography and depth-to-water) and peatland methane emission, ultimately revealing one of the hidden impacts of seismic lines on Canada’s Boreal peatlands.","abstract_html":"Peatlands are extremely complex and sensitive ecosystems, capable of releasing vast amounts of methane in response to disturbance events. To date, little advancement has been made by researchers to quantify the impact of small-scale anthropogenic disturbances on these ecosystems, specifically seismic lines. These “low-impact” linear features present a challenge to researchers as they exist at dimensions too small for the majority of remote-sensing platforms to successfully identify and measure, even though they account for a considerable portion of land disturbance in Canada’s western Boreal, and are anticipated to have extensive, compounding environmental effects. This thesis summarizes how unmanned aerial vehicle photogrammetry can be used to address this knowledge gap by showcasing the ability to generate accurate peatland terrain models, and subsequently estimate seismic-line impacts on both physical parameters (microtopography and depth-to-water) and peatland methane emission, ultimately revealing one of the hidden impacts of seismic lines on Canada’s Boreal peatlands.","abstract_has_math":false,"creators":["Lovitt, Julie"],"institution":"Arts","degree_name":"Master of Science (MSc)","degree_level":null,"degree_discipline":"Geography","degree_department":null,"school":null,"contributors":[],"advisors":["McDermid, Gregory"],"committee_chairs":[],"committee_members":["Strack, Maria","Bergerson, Joule"],"year":2017,"date_issued":"2017-12-22","date_published":"2017-12-22","updated_at":"2026-07-24T01:30:31Z","subjects":["boreal bog","methane emissions","earth observation","unmanned aerial vehicle","microtopography","peatland hydrology","boreal peatland"],"languages":["en"],"rights":["University of Calgary graduate students retain copyright ownership and moral rights for their thesis. 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These “low-impact” linear features present a challenge to researchers as they exist at dimensions too small for the majority of remote-sensing platforms to successfully identify and measure, even though they account for a considerable portion of land disturbance in Canada’s western Boreal, and are anticipated to have extensive, compounding environmental effects. 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