Assessing spatial distribution and quantification of native trees in Saskatchewan’s prairie landscape using remote sensing techniques DOI Creative Commons
Elham Shafeian, Bryan J. Mood,

Kenneth W. Belcher

et al.

European Journal of Remote Sensing, Journal Year: 2024, Volume and Issue: 58(1)

Published: Dec. 11, 2024

The importance of trees in non-forest landscapes has been the focus only a few studies. However, these provide many important ecosystem services. In this study, we mapped and quantified using Sentinel-2 (S2) very high-resolution (VHR) Google satellite imagery without any field campaigns. We performed Random Forest (RF) classification to map spatial distribution native different scenarios. optimal model showed an overall accuracy kappa 0.99 0.98, respectively. 40,500 km2 tree cover, including cover (approximately 29,565 ≈10.5%), excluding plantations, regional provincial parks, water bodies Canadian prairie region Saskatchewan. According our results, highest numbers were found eastern northwestern parts study area – cluster "BLK_1" "Black" soil zone, with total 5,388 13,233 km2, lowest southwest side "BRN_6" "Brown" 2.38 979.5 This research is as detecting quantifying integral part studies on carbon sequestration, economics, effective management strategies.

Language: Английский

Assessing spatial distribution and quantification of native trees in Saskatchewan’s prairie landscape using remote sensing techniques DOI Creative Commons
Elham Shafeian, Bryan J. Mood,

Kenneth W. Belcher

et al.

European Journal of Remote Sensing, Journal Year: 2024, Volume and Issue: 58(1)

Published: Dec. 11, 2024

The importance of trees in non-forest landscapes has been the focus only a few studies. However, these provide many important ecosystem services. In this study, we mapped and quantified using Sentinel-2 (S2) very high-resolution (VHR) Google satellite imagery without any field campaigns. We performed Random Forest (RF) classification to map spatial distribution native different scenarios. optimal model showed an overall accuracy kappa 0.99 0.98, respectively. 40,500 km2 tree cover, including cover (approximately 29,565 ≈10.5%), excluding plantations, regional provincial parks, water bodies Canadian prairie region Saskatchewan. According our results, highest numbers were found eastern northwestern parts study area – cluster "BLK_1" "Black" soil zone, with total 5,388 13,233 km2, lowest southwest side "BRN_6" "Brown" 2.38 979.5 This research is as detecting quantifying integral part studies on carbon sequestration, economics, effective management strategies.

Language: Английский

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