@article{07a1b60baa1f4d72bc95db3905c1d484,
title = "UAV-Based Phytoforensics: Hyperspectral Image Analysis to Remotely Detect Explosives Using Maize (Zea mays)",
keywords = "RDX, emerging contaminants, explosives, hyperspectral imagery, machine learning, phytoforensics, unmanned aerial vehicle",
author = "Manley, \{Paul V.\} and Via, \{Stephen M.\} and Burken, \{Joel G.\}",
note = "Publisher Copyright: {\textcopyright} 2025 by the authors.",
year = "2025",
month = jan,
doi = "10.3390/rs17030385",
language = "English",
volume = "17",
journal = "Remote Sensing",
issn = "2072-4292",
number = "3",
}