Application of high resolution remote sensing to detect and map the pasture weed Paterson’s curse (Echium plantagineum) in Western Australia

This study investigated the utility of three types of remotely sensed data (field spectroscopy, airborne multispectral and satellite hyperspectral) for detecting and mapping Paterson’s curse (Echium plantagineum) in the Wheatbelt Region of Western Australia. Using different classification, statistic...

Full description

Bibliographic Details
Main Author: McIntyre, Daniel Lester
Format: Thesis
Language:English
Published: Curtin University 2015
Online Access:http://hdl.handle.net/20.500.11937/1511
_version_ 1848743688136556544
author McIntyre, Daniel Lester
author_facet McIntyre, Daniel Lester
author_sort McIntyre, Daniel Lester
building Curtin Institutional Repository
collection Online Access
description This study investigated the utility of three types of remotely sensed data (field spectroscopy, airborne multispectral and satellite hyperspectral) for detecting and mapping Paterson’s curse (Echium plantagineum) in the Wheatbelt Region of Western Australia. Using different classification, statistical and quantitative validation approaches, the study found that spectral resolution and timing of image capture were the most important factors for discriminating Paterson’s curse and producing acceptable levels of mapping accuracy.
first_indexed 2025-11-14T05:49:32Z
format Thesis
id curtin-20.500.11937-1511
institution Curtin University Malaysia
institution_category Local University
language English
last_indexed 2025-11-14T05:49:32Z
publishDate 2015
publisher Curtin University
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-15112017-02-20T06:37:01Z Application of high resolution remote sensing to detect and map the pasture weed Paterson’s curse (Echium plantagineum) in Western Australia McIntyre, Daniel Lester This study investigated the utility of three types of remotely sensed data (field spectroscopy, airborne multispectral and satellite hyperspectral) for detecting and mapping Paterson’s curse (Echium plantagineum) in the Wheatbelt Region of Western Australia. Using different classification, statistical and quantitative validation approaches, the study found that spectral resolution and timing of image capture were the most important factors for discriminating Paterson’s curse and producing acceptable levels of mapping accuracy. 2015 Thesis http://hdl.handle.net/20.500.11937/1511 en Curtin University fulltext
spellingShingle McIntyre, Daniel Lester
Application of high resolution remote sensing to detect and map the pasture weed Paterson’s curse (Echium plantagineum) in Western Australia
title Application of high resolution remote sensing to detect and map the pasture weed Paterson’s curse (Echium plantagineum) in Western Australia
title_full Application of high resolution remote sensing to detect and map the pasture weed Paterson’s curse (Echium plantagineum) in Western Australia
title_fullStr Application of high resolution remote sensing to detect and map the pasture weed Paterson’s curse (Echium plantagineum) in Western Australia
title_full_unstemmed Application of high resolution remote sensing to detect and map the pasture weed Paterson’s curse (Echium plantagineum) in Western Australia
title_short Application of high resolution remote sensing to detect and map the pasture weed Paterson’s curse (Echium plantagineum) in Western Australia
title_sort application of high resolution remote sensing to detect and map the pasture weed paterson’s curse (echium plantagineum) in western australia
url http://hdl.handle.net/20.500.11937/1511