2019
DOI: 10.5194/bg-2019-194
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Comparing Stability in Random Forest Models to Map Northern Great Plains Plant Communities Using 2015 and 2016 Pleiades Imagery

Abstract: <p><strong>Abstract.</strong> The use of high resolution imagery in remote sensing has the potential to improve understanding of patch level variability in plant structure and community composition that may be lost at coarser scales. Random forest (RF) is a machine learning technique that has gained considerable traction in remote sensing applications due to its ability to produce accurate classifications with highly dimensional data and relatively efficient computing … Show more

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“…prairie dog grass; PDG). Plant community location was mapped using remotely sensed high resolution satellite imagery (Brennan et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…prairie dog grass; PDG). Plant community location was mapped using remotely sensed high resolution satellite imagery (Brennan et al, 2019).…”
Section: Introductionmentioning
confidence: 99%