| Title | UAV-SfM and geographic object-based image analysis for measuring multi-temporal planimetric and volumetric erosion of Arctic Coasts / Utilisation de drones et d'une analyse d'images basee sur des objets
géographiques pour mesurer l'érosion planimétrique et volumétrique multitemporelle des côtes de l'Arctique |
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| Author | Clark, A ;
Moorman, B J; Whalen, D |
| Source | Canadian Journal of Remote Sensing vol. 49, no. 1, 2023 p. 1-22, https://doi.org/10.1080/07038992.2023.2211679  Open Access |
| Image |  |
| Year | 2023 |
| Alt Series | Natural Resources Canada, Contribution Series 20230245 |
| Publisher | Taylor & Francis Group |
| Document | serial |
| Lang. | English |
| Media | paper; digital; on-line |
| File format | pdf |
| Province | Northwest Territories |
| NTS | 107C |
| Area | Kugmallit Bay |
| Lat/Long WENS | -136.0000 -130.0000 70.0000 69.0000 |
| Subjects | environmental geology; surficial geology/geomorphology; arctic geology; planimetry; erosion; coastal erosion; satellite imagery |
| Illustrations | location maps; tables; graphs; diagrams; photographs |
| Program | Climate Change Geoscience Coastal Infrastructure |
| Released | 2023 05 18 |
| Abstract | Monitoring and quantifying the rapid changes along Arctic coasts is becoming increasingly important as above average warming in the Arctic is contributing to increasing rates of erosion leading to
dramatic impacts on coastal ecosystems and communities. Understanding the impacts of Arctic coastal erosion on the climate system across large coastal scales requires improvements in measurement techniques. We analyzed two coastal sites in Kugmallit
Bay (near Tuktoyaktuk, Northwest Territories, Canada), over a one-week and oneyear time interval. Using high-resolution imagery from Unoccupied Aerial Vehicles with Structure from Motion (UAV-SfM), we investigated the influence of unique coastal
indicator features on reported planimetric and volumetric measurements and explored the use of Geographic Object Based Image Analysis (GEOBIA) to semi-automate the process of coastal feature extraction. We observed temporally dependent differences
between coastal feature movements, planimetrically and volumetrically, and object-based feature extraction accuracy was found to be feature dependent. Our research has made methodological improvements to Arctic coastal measurements, particularly at
high spatiotemporal scales, which highlights considerations relevant to broad scale Arctic coastal monitoring and quantification. |
| Summary | (Plain Language Summary, not published)
Understanding the impacts of Arctic coastal erosion on the climate system across large coastal scales requires improvements in measurement techniques. We
analyzed two coastal sites in Kugmallit Bay (near Tuktoyaktuk, Northwest Territories, Canada), over a one-week and one-year time interval. Using high-resolution imagery from Unoccupied Aerial Vehicles with Structure from Motion (UAV-SfM), we
investigated the influence of unique coastal indicator features on reported planimetric and volumetric measurements and explored the use of Geographic Object Based Image Analysis (GEOBIA) to semi-automate the process of coastal feature extraction. We
observed temporally dependent differences between coastal feature movements, planimetrically and volumetrically, and object-based feature extraction accuracy was found to be feature dependent. |
| GEOSCAN ID | 332170 |
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