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Detecting the Locations of Brazilian Pepper Trees in the Everglades with a Hyperspectral Sensor

Published online by Cambridge University Press:  20 January 2017

Lawrence W. Lass  and
Timothy S. Prather
Lawrence W. Lass*
Affiliation:
Department of Plant, Soil, and Entomological Sciences, College of Agricultural and Life Sciences, University of Idaho, Moscow, ID 83844-2339
Timothy S. Prather
Affiliation:
Department of Plant, Soil, and Entomological Sciences, College of Agricultural and Life Sciences, University of Idaho, Moscow, ID 83844-2339
*
Corresponding author's E-mail: [email protected]
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Abstract

Brazilian pepper is a small evergreen tree that forms dense colonies. It was introduced for horticultural use in the United States in the early 1800s and was widely distributed in Florida in the late 1920s. Previous remote-sensing projects to detect Brazilian pepper achieved moderate success and warranted additional research using a hyperspectral sensor. Detection with remote sensing is desirable because complete access to ground survey crews is not practical. The western half of the Everglades National Park was imaged at a 5-m spatial resolution with a hyperspectral sensor by Earth Search Sciences Inc. of Kalispell, MT, on December 12, 2000, and January 10, 2001. The sensor has 128 channels and spectral resolution between 450 and 2,500 nm. The purpose of this research was to develop spectral reflectance curves for Brazilian pepper and establish the accuracy of classified images. Classified images showed that a hyperspectral sensor could detect a “pure” Brazilian pepper pixel representing the center of an infestation but not “mixed” Brazilian pepper pixels at the sparsely populated edges. To define the sparse populations, images were classified using a spatial buffer (15- to 100-m radius) based on a low–omissional error image. A 25-m buffer reduced the amount of commissional error for Brazilian pepper in mangrove-dominated forest to 8.2% and buttonwood-dominated forest to 0%. Wider buffers did not significantly improve image accuracy when compared with the 25-m buffer distance. Results indicate that removal crews using hyperspectral images will be able to reliably find the colonies of Brazilian pepper but will not be able to use the images to find isolated scattered trees.

Keywords

Brazilian pepper (Schinus terebinthifolius Raddi) # SCITEHyperspectral sensorimaging spectrometerinvasive plant detectionwhiskbroom scannerGPS, global positioning system without differential correctionPLOS, posteriori least-squares orthogonal subspace projectionSAM, spectral angle mapperUSGS-BRD/SERP, United States Geological Survey—Biological Resource Division/Southeast Environmental Research Program
Type
Research
Information
Weed Technology , Volume 18 , Issue 2 , June 2004 , pp. 437 - 442
Copyright
Copyright © Weed Science Society of America 

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Footnotes

∗ Publication 03729 Idaho Agricultural Experiment Station Journal Series.

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