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A Low Cost UWB Based Solution for Direct Georeferencing UAV Photogrammetry
Open AccessArticle

Use of Unmanned Aerial Vehicles for Monitoring Recovery of Forest Vegetation on Petroleum Well Sites

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Department of Geography, University of Calgary, Calgary, AB T2N 1N4, Canada
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Alberta Biodiversity Monitoring Institute, Edmonton, AB T6G 2E9, Canada
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Department of Renewable Resources, University of Alberta, Edmonton, AB T6G 2H1, Canada
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Department of Science, University of Alberta, Augustana Campus, Camrose, AB T4V 2R3, Canada
*
Author to whom correspondence should be addressed.
Academic Editors: Lars T. Waser and Prasad S. Thenkabail
Remote Sens. 2017, 9(5), 413; https://doi.org/10.3390/rs9050413
Received: 16 January 2017 / Revised: 5 April 2017 / Accepted: 21 April 2017 / Published: 27 April 2017
Photogrammetric point clouds (PPCs) provide a source of three-dimensional (3-D) remote sensing data that is well-suited to use over small areas that are within the scope of observation by unmanned aerial vehicles (UAVs). We compared PPC-based structural metrics to traditional ground surveys conducted by field personnel in order to assess the capacity of PPC data to contribute to vegetation-reclamation surveys. We found good statistical agreement between key structural vegetation parameters, such as mean and maximum vegetation height, with PPC metrics successfully predicting most height and tree-diameter metrics using multivariate linear regression. However, PPC metrics were not as useful for estimating ground-measured vegetation cover. We believe that part of the issue lies in the mismatch between PPC- and ground-based measurement approaches, including subjective judgement on behalf of ground crews: a topic that requires more investigation. Our work highlights the emerging value of UAV-based PPCs to complement, and in some cases supplement, traditional ground-based sources of measured vegetation structure. View Full-Text
Keywords: unmanned aerial vehicles; photogrammetry; point clouds; vegetation structure; vegetation height; vegetation cover; ecological recovery; reclamation unmanned aerial vehicles; photogrammetry; point clouds; vegetation structure; vegetation height; vegetation cover; ecological recovery; reclamation
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MDPI and ACS Style

Hird, J.N.; Montaghi, A.; McDermid, G.J.; Kariyeva, J.; Moorman, B.J.; Nielsen, S.E.; McIntosh, A.C.S. Use of Unmanned Aerial Vehicles for Monitoring Recovery of Forest Vegetation on Petroleum Well Sites. Remote Sens. 2017, 9, 413.

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