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Discrimination of Artemisia afra from surrounding land cover types using field spectroradiometer data

This study investigated the utility of remote sensing to discriminate Artemisia afra from adjacent land cover types using continuum reflectance spectra acquired using a field spectrometer. Reflectance comparisons were made using original spectra as well as spectra simulated based on Landsat Enhanced...

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Published in:International journal of image and data fusion 2016-10, Vol.7 (4), p.309-324
Main Authors: Dubula, Bambo, Tesfamichael, Solomon Gebremariam, Rampedi, Isaac Tebogo
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description This study investigated the utility of remote sensing to discriminate Artemisia afra from adjacent land cover types using continuum reflectance spectra acquired using a field spectrometer. Reflectance comparisons were made using original spectra as well as spectra simulated based on Landsat Enhanced Thematic Mapper Plus (ETM+) and Satellite Pour l'Observation de la Terre 5 (SPOT 5) bands at individual, plot and group levels. Results from all levels of analysis showed near-infrared (NIR) region to be consistent in discriminating A. afra from adjacent land cover types. The results of analysis using simulated Landsat ETM+ and SPOT 5 images showed the potential of extending the technique to actual remotely sensed data images, particularly using the NIR band. Further studies are encouraged to addressing some shortcomings of the study, such as sampling homogenous land cover types, creating ideal electromagnetic illumination scenarios and increasing sample size to improve the reliability of results for upscaling the technique to remotely sensed data.
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ispartof International journal of image and data fusion, 2016-10, Vol.7 (4), p.309-324
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source Taylor and Francis Science and Technology Collection
subjects Artemisia afra
Discrimination
field spectrometer
Land cover
Landsat satellites
Reflectance
Reflectivity
Remote sensing
Satellite imagery
Sensors
Simulation
Spectra
spectral bands
spectral reflectance
Spots
title Discrimination of Artemisia afra from surrounding land cover types using field spectroradiometer data
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