Pragmatically Mapping <i>Phragmites</i> with Unoccupied Aerial Systems: A Comparison of Invasive Species Land Cover Classification Using RGB and Multispectral Imagery

Pragmatically Mapping <i>Phragmites</i> with Unoccupied Aerial Systems: A Comparison of Invasive Species Land Cover Classification Using RGB and Multispectral Imagery

Unoccupied aerial systems (UASs) are increasingly being deployed in coastal environments to rapidly map and monitor changes to geomorphology, vegetation, and infrastructure, particularly in difficult to access areas. UAS data, relative to airplane or satellite data, typically have higher spatial res...

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Bibliographic Details
Main Authors: Alexandra Danielle Evans, Jennifer Cramer, Victoria Scholl, Erika Lentz
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
structure-from-motion
feature importance
aerial imagery
method comparison
image classification
machine learning
Online Access:https://www.mdpi.com/2072-4292/16/24/4691
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