DocumentCode :
3064094
Title :
Inland water quality monitoring in Australia
Author :
Malthus, Tim J. ; Hestir, Erin L. ; Dekker, Arnold ; Anstee, Janet ; Botha, Hannelie ; Cherukuru, Nagur ; Brando, Vittorio ; Clementsen, Lesley ; Oliver, Richard ; Lorenz, Zygmunt
Author_Institution :
Div. of Land & Water, Commonwealth Sci. & Ind. Res. Organ., Melbourne, VIC, Australia
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
2872
Lastpage :
2875
Abstract :
Consistent and accurate information on inland water quality over wider areas of the Australian continent are required to assess current condition and trends in response to key environmental and climatic impacts. Optical remote sensing offers a method to objectively assess this over multiple spatial scales provided retrieval algorithms are accurate. Here, we present the results of initial research aimed at exploring the optical variability in Australian inland waters and of linear matrix inversion algorithms applied to both in situ reflectance spectra and high resolution satellite data to retrieve water inland water quality parameters. In situ sampling reveals a high degree of optical variability both within and between lakes across the regions sampled with regional patterns evident; sub-tropical and tropical lakes exhibited greater optical complexity than deep lakes in mid-latitude regions. Clustering analysis indicated the presence of 8 different optical water types in the water bodies measured. The ability of the linear matrix inversion algorithm to map water quality, tested on in situ reflectance and WorldView2 image datasets, showed relative accuracy when parameter sets were sufficient to achieve algorithm closure. Improved algorithm parameterization will be required to account for the high degree in spatial and temporal optical variability observed in Australian inland waters.
Keywords :
hydrological techniques; lakes; matrix inversion; remote sensing; statistical analysis; water quality; water resources; Australian continent; Australian inland waters; WorldView2 image datasets; algorithm closure; climatic impacts; clustering analysis; deep lakes; environmental impacts; high resolution satellite data; improved algorithm parameterization; in-situ reflectance datasets; in-situ reflectance spectra; in-situ sampling; inland water quality monitoring; linear matrix inversion algorithms; midlatitude regions; multiple spatial scales; optical complexity; optical remote sensing; optical water types; regional patterns; retrieval algorithms; spatial optical variability; subtropical lakes; temporal optical variability; water bodies; water inland water quality parameters; Lakes; Optical imaging; Optical reflection; Optical scattering; Optical sensors; Remote sensing; Water; Australia; Inland water quality monitoring; cyanobacteria; linear matrix inversion; optical variability; remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723424
Filename :
6723424
Link To Document :
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