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Mapping invasive Phragmites australis in the Old Woman Creek estuary using UAV remote sensing and machine learning classifiers

  • Bowling Green State University
  • Department of Geology
  • Ohio Department of Natural Resources
  • Fireland Coastal Tributaries

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number1380
JournalRemote Sensing
Volume11
Issue number11
DOIs
StatePublished - Jun 1 2019

ASJC Scopus Subject Areas

  • General Earth and Planetary Sciences

Keywords

  • Invasive
  • Machine learning
  • Object-based classifiers
  • Phragmites australis
  • Unmanned aerial vehicles

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