Hyperspectral Remote Sensing Applied to Shallow Coastal Waters

A shallow water reflectance model was developed for application to optical remote sensing in highly diverse and complex coastal environments. A numerical inversion scheme, based on analytical parameterisation, was applied to airborne hyperspectral imagery collected over two regions of the Western Au...

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Main Author: Klonowski, Wojciech Mateusz
Format: Thesis
Published: Curtin University 2015
Online Access:http://hdl.handle.net/20.500.11937/48821
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author Klonowski, Wojciech Mateusz
author_facet Klonowski, Wojciech Mateusz
author_sort Klonowski, Wojciech Mateusz
building Curtin Institutional Repository
collection Online Access
description A shallow water reflectance model was developed for application to optical remote sensing in highly diverse and complex coastal environments. A numerical inversion scheme, based on analytical parameterisation, was applied to airborne hyperspectral imagery collected over two regions of the Western Australian coastline; Jurien Bay and the Ningaloo Marine Park. Detailed maps of water quality, water depth and benthic cover classification were derived with a high degree of accuracy as compared to ground truth data.
first_indexed 2025-11-14T09:38:52Z
format Thesis
id curtin-20.500.11937-48821
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:38:52Z
publishDate 2015
publisher Curtin University
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-488212017-03-02T06:29:35Z Hyperspectral Remote Sensing Applied to Shallow Coastal Waters Klonowski, Wojciech Mateusz A shallow water reflectance model was developed for application to optical remote sensing in highly diverse and complex coastal environments. A numerical inversion scheme, based on analytical parameterisation, was applied to airborne hyperspectral imagery collected over two regions of the Western Australian coastline; Jurien Bay and the Ningaloo Marine Park. Detailed maps of water quality, water depth and benthic cover classification were derived with a high degree of accuracy as compared to ground truth data. 2015 Thesis http://hdl.handle.net/20.500.11937/48821 Curtin University fulltext
spellingShingle Klonowski, Wojciech Mateusz
Hyperspectral Remote Sensing Applied to Shallow Coastal Waters
title Hyperspectral Remote Sensing Applied to Shallow Coastal Waters
title_full Hyperspectral Remote Sensing Applied to Shallow Coastal Waters
title_fullStr Hyperspectral Remote Sensing Applied to Shallow Coastal Waters
title_full_unstemmed Hyperspectral Remote Sensing Applied to Shallow Coastal Waters
title_short Hyperspectral Remote Sensing Applied to Shallow Coastal Waters
title_sort hyperspectral remote sensing applied to shallow coastal waters
url http://hdl.handle.net/20.500.11937/48821