Spectral response of the seagrass Zostera noltii with different sediment backgrounds

Bargain, A; Robin, M; Le Men, E; Huete, A; Barillé, L

Spectral response of the seagrass Zostera noltii with different sediment backgrounds

Bargain, A Robin, M Le Men, E Huete, A

Barillé, L

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Publication Type:: Journal Article
Citation:: Aquatic Botany, 2012, 98 (1), pp. 45 - 56
Issue Date:: 2012-04-01

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Field	Value	Language
dc.contributor.author	Bargain, A	en_US
dc.contributor.author	Robin, M	en_US
dc.contributor.author	Le Men, E	en_US
dc.contributor.author	Huete, A https://orcid.org/0000-0003-2809-2376	en_US
dc.contributor.author	Barillé, L	en_US
dc.date.issued	2012-04-01	en_US
dc.identifier.citation	Aquatic Botany, 2012, 98 (1), pp. 45 - 56	en_US
dc.identifier.issn	0304-3770	en_US
dc.identifier.uri	http://hdl.handle.net/10453/32215
dc.description.abstract	The efficiency of vegetation indices (VIs) to estimate the above-ground biomass of the seagrass species Zostera noltii Hornem. from remote sensing was tested experimentally on different substrata, since terrestrial vegetation studies have shown that VIs can be adversely influenced by the spectral properties of soils and background surfaces. Leaves placed on medium sand, fine sand and autoclaved fine sand were incrementally removed, and the spectral reflectance was measured in the 400-900nm wavelength range. Several VIs were evaluated: ratios using visible and near infrared wavelengths, narrow-band indices, indices based on derivative analysis and continuum removal. Background spectral reflectance was clearly visible in the leaf reflectance spectra, showing marked brightness and spectral contrast variations for the same amount of vegetation. Paradoxically, indices used to minimize soil effects, such as the Soil-Adjusted Vegetation Index (SAVI) and the Modified second Soil-Adjusted Vegetation Index (MSAVI 2) showed a high sensitivity to background effects. Similar results were found for the widely used Normalized Difference Vegetation Index (NDVI) and for Pigment Specific Simple Ratios (PSSRs). In fact, background effects were most reduced for VIs integrating a blue band correction, namely the modified specific ratio (mSR (705)), the modified Normalized Difference (mND (705)), and two modified NDVIs proposed in this study. However, these indices showed a faster saturation for high seagrass biomass. The background effects were also substantially reduced using Modified Gaussian Model indices at 620 and 675nm. The blue band corrected VIs should now be tested for air-borne or satellite remote sensing applications, but some require sensors with a hyperspectral resolution. Nevertheless, this type of index can be applied to analyse broad band multispectral satellite images with a blue band. © 2011 Elsevier B.V.	en_US
dc.relation.ispartof	Aquatic Botany	en_US
dc.relation.isbasedon	10.1016/j.aquabot.2011.12.009	en_US
dc.subject.classification	Marine Biology & Hydrobiology	en_US
dc.title	Spectral response of the seagrass Zostera noltii with different sediment backgrounds	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	98	en_US
utslib.for	0607 Plant Biology	en_US
utslib.for	0502 Environmental Science and Management	en_US
utslib.for	0602 Ecology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	98	en_US

Abstract:

The efficiency of vegetation indices (VIs) to estimate the above-ground biomass of the seagrass species Zostera noltii Hornem. from remote sensing was tested experimentally on different substrata, since terrestrial vegetation studies have shown that VIs can be adversely influenced by the spectral properties of soils and background surfaces. Leaves placed on medium sand, fine sand and autoclaved fine sand were incrementally removed, and the spectral reflectance was measured in the 400-900nm wavelength range. Several VIs were evaluated: ratios using visible and near infrared wavelengths, narrow-band indices, indices based on derivative analysis and continuum removal. Background spectral reflectance was clearly visible in the leaf reflectance spectra, showing marked brightness and spectral contrast variations for the same amount of vegetation. Paradoxically, indices used to minimize soil effects, such as the Soil-Adjusted Vegetation Index (SAVI) and the Modified second Soil-Adjusted Vegetation Index (MSAVI 2) showed a high sensitivity to background effects. Similar results were found for the widely used Normalized Difference Vegetation Index (NDVI) and for Pigment Specific Simple Ratios (PSSRs). In fact, background effects were most reduced for VIs integrating a blue band correction, namely the modified specific ratio (mSR (705)), the modified Normalized Difference (mND (705)), and two modified NDVIs proposed in this study. However, these indices showed a faster saturation for high seagrass biomass. The background effects were also substantially reduced using Modified Gaussian Model indices at 620 and 675nm. The blue band corrected VIs should now be tested for air-borne or satellite remote sensing applications, but some require sensors with a hyperspectral resolution. Nevertheless, this type of index can be applied to analyse broad band multispectral satellite images with a blue band. © 2011 Elsevier B.V.

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