Spectral response of the seagrass Zostera noltii with different sediment backgrounds

被引:19
作者
Bargain, A. [1 ,2 ]
Robin, M. [2 ]
Le Men, E. [3 ]
Huete, A. [4 ]
Barille, L. [1 ]
机构
[1] Univ Nantes, Equipe Mol & Sante EA 2160, Fac Sci & Tech, F-44322 Nantes 3, France
[2] Univ Nantes, LETG Littoral Environm Teledetect Geomat GEOLITTO, UMR CNRS 6554, F-44312 Nantes 3, France
[3] Univ Nantes, Lab Planetol & Geodynam, UMR 6112, Fac Sci & Tech, F-44322 Nantes 3, France
[4] Univ Technol Sydney, Dept Environm Sci, Sydney, NSW 2007, Australia
关键词
Background; Remote sensing; Seagrass; Vegetation index; Zostera noltii; VEGETATION INDEXES; PIGMENT CONCENTRATIONS; SEASONAL-VARIATION; REMOTE ESTIMATION; CHLOROPHYLL-A; SOIL; REFLECTANCE; BIOMASS; CANOPY; FIELD;
D O I
10.1016/j.aquabot.2011.12.009
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
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 400-900 nm 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 675 nm. 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. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:45 / 56
页数:12
相关论文
共 69 条
  • [1] REMOTE-SENSING OF SUBMERGED VEGETATION CANOPIES FOR BIOMASS ESTIMATION
    ARMSTRONG, RA
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1993, 14 (03) : 621 - 627
  • [2] Seasonal dynamics of Zostera noltii Hornem in the Bay of Arcachon (France)
    Auby, I
    Labourg, PJ
    [J]. JOURNAL OF SEA RESEARCH, 1996, 35 (04) : 269 - 277
  • [3] Bannari A, 1995, Remote Sens Rev, V13, P95, DOI [DOI 10.1080/02757259509532298, 10.1080/02757259509532298]
  • [4] Comparative analysis of field and laboratory spectral reflectances of benthic diatoms with a modified Gaussian model approach
    Barille, Laurent
    Meleder, Vona
    Combe, Jean-Philippe
    Launeau, Patrick
    Rince, Yves
    Carrere, Veronique
    Morancais, Michele
    [J]. JOURNAL OF EXPERIMENTAL MARINE BIOLOGY AND ECOLOGY, 2007, 343 (02) : 197 - 209
  • [5] Spectral response of benthic diatoms with different sediment backgrounds
    Barille, Laurent
    Mouget, Jean-Luc
    Meleder, Vona
    Rosa, Philippe
    Jesus, Bruno
    [J]. REMOTE SENSING OF ENVIRONMENT, 2011, 115 (04) : 1034 - 1042
  • [6] Increase in seagrass distribution at Bourgneuf Bay (France) detected by spatial remote sensing
    Barille, Laurent
    Robin, Marc
    Harin, Nicolas
    Bargain, Annaelle
    Launeau, Patrick
    [J]. AQUATIC BOTANY, 2010, 92 (03) : 185 - 194
  • [7] Quantifying chlorophylls and caroteniods at leaf and canopy scales: An evaluation of some hyperspectral approaches
    Blackburn, GA
    [J]. REMOTE SENSING OF ENVIRONMENT, 1998, 66 (03) : 273 - 285
  • [8] Relationships between spectral reflectance and pigment concentrations in stacks of deciduous broadleaves
    Blackburn, GA
    [J]. REMOTE SENSING OF ENVIRONMENT, 1999, 70 (02) : 224 - 237
  • [9] Spectral indices for estimating photosynthetic pigment concentrations: a test using senescent tree leaves
    Blackburn, GA
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (04) : 657 - 675
  • [10] Hyperspectral remote sensing of plant pigments
    Blackburn, George Alan
    [J]. JOURNAL OF EXPERIMENTAL BOTANY, 2007, 58 (04) : 855 - 867