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Cut-and-Paste Reference:
Anderson, C.J., D. Heins, K.C. Pelletier, and J.F. Knight. 2023. Improving machine learning classifications of Phragmites australis using object-based image analysis. Remote Sensing 15(4):989. https://doi.org/10.3390/rs15040989.
Reference Details:
Reference Number: 40857
Type: Journal Article
Author: Anderson, C.J., D. Heins, K.C. Pelletier, and J.F. Knight
Date (year): 2023
Article Title:Improving machine learning classifications of Phragmites australis using object-based image analysis
Journal Name: Remote Sensing
Volume: 15
Issue: 4
Pages: 989
URL:
Keywords: Phragmites australis; UAS; invasive species; object-based image analysis; machine learning, Minnesota, common reed
DOI: 10.3390/rs15040989
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Citation information: U.S. Geological Survey. [2025]. Nonindigenous Aquatic Species Database. Gainesville, Florida. Accessed [2/2/2025].

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