Assessing spatial distribution and quantification of native trees in Saskatchewan’s prairie landscape using remote sensing techniques
Date
2024-12-11
Authors
Shafeian, Elham
Mood, Bryan
Belcher, Kenneth
Laroque, Colin
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Taylor and Francis
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Article
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Abstract
The importance of trees in non-forest landscapes has been the focus of only a few studies. However, these trees provide many important ecosystem services. In this study, we mapped and quantified these trees using Sentinel-2 (S2) and very high-resolution (VHR) Google satellite imagery without any field campaigns. We performed a Random Forest (RF) classification to map the spatial distribution of native trees in different scenarios. The optimal model showed an overall accuracy and kappa of 0.99 and 0.98, respectively. We mapped 40,500 km2 of tree cover, including native tree cover (approximately 29,565 km2 ≈10.5%), excluding plantations, regional and provincial parks, and water bodies in the Canadian prairie region of Saskatchewan. According to our results, the highest numbers of native trees were found in the eastern and northwestern parts of the study area – cluster “BLK_1” and the “Black” soil zone, with total cover of 5,388 and 13,233 km2, respectively. The lowest numbers of native trees were found in the southwest side of the study area – cluster “BRN_6” and the “Brown” soil zone, with total cover of 2.38 and 979.5 km2, respectively. This research is important as detecting and quantifying native trees is an integral part of studies on carbon sequestration, economics, and effective management strategies.
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© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
Keywords
Native tree, remote sensing, Canadian prairie, Sentinel-2, very high-resolution imagery
Citation
Elham Shafeian, Mood, B. J., Belcher, K. W., & Laroque, C. P. (2024). Assessing spatial distribution and quantification of native trees in Saskatchewan’s prairie landscape using remote sensing techniques. European Journal of Remote Sensing, 58(1). https://doi.org/10.1080/22797254.2024.2438638
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DOI
10.1080/22797254.2024.2438638