•  
  •  
 
Journal of Aviation/Aerospace Education & Research

Volume

32

Issue

1

Key words

UAS, unmanned systems, uncrewed systems, remotely piloted aircraft systems, drone, Burmese python, invasive species, wildlife management

Abstract

Burmese pythons are an invasive, non-native species of snake to southern Florida and attempts at eradicating the snakes had yielded mixed results. The current rate of detection had been reported as 0.05%. The purpose of this research project was to determine if a UAS equipped with a near-infrared (NIR) camera could be used to detect pythons at a higher rate when compared to a RGB camera. The approach involved collecting 55 images from RGB and NIR cameras, over carcass pythons at flying heights of 3, 6, 9, 12, and 15 meters. A likelihood ratio consisting of a true positive rate over false positive rate was calculated from 101 participant survey responses. Participants were able to detect pythons from an NIR camera with greater likelihood (M = 6.05, SD = 1.94) than a RGB camera (M = 4.74, SD = 1.32), t(10) = 1.77, p = .048. The data suggests that survey participants could correctly detect pythons in images containing the pythons at a 1.3x greater rate with the NIR sensor than with the RGB sensor. Also, a true positive rate (TPR) showed the observation rate of correctly detecting a python when one was present in the image. The NIR camera images had higher TPR rates compared to RGB images. The largest difference between camera types was observed at the 15 meters flying height over an outstretched python; there was a 35% increase in participant detection accuracy using the NIR camera compared to the RGB camera. These results suggest that a UAS equipped with an NIR camera flying between 3 and 15 meters in a nadir-oriented position of 90 degrees can be used to detect pythons. Using a UAS equipped with an NIR camera over levees searching for exposed pythons may help biologists responsible for managing these invasive species determine if a python is present.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.