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Relationship Between Biophysical Parameters and Synthetic Indices Derived from Hyperspectral Field Data in a Salt Marsh from Buenos Aires Province, Argentina

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Abstract

Remote sensing tools allow the environmental evaluation of coastal wetlands at a landscape scale, but a deeper understanding is needed of the interactions between biophysical parameters and the electromagnetic signal. The goal of this work was to analyze and quantify the influence of the aboveground biomass and the Leaf Area Index (LAI) on the spectral response of Spartina densiflora marshes in Mar Chiquita coastal lagoon, Argentina. Spectral reflectance at high resolution was measured in S. densiflora canopies under natural conditions, manipulating standing crop by means of successive harvest. Reflectance data were acquired using a spectroradiometer in visible, near infrared (IR) and shortwave IR bands. Spectral Vegetation Indices (VI) were calculated for each standing crop-LAI situation. Several VI significantly correlated with standing crop and LAI, including indices 1) based on the red-IR edge (IR Index (IRI), 695/760 ratio, Simple Ratio (SR), Red Edge Inflection Point (REIP), and different variations of the Normalized Difference VI (NDVI Rouse, NDVI amber, NDVI NOAA, NDVI Landsat, NDVI Modis), 2) indices based on the sharp change green-IR (green NDVI (GNDVI), 800/550 ratio) and 3) indices with a correction for soil noise (OSAVI: Optimized Soil Adjusted VI (OSAVI), and Modified SAVI (MSAVI). The indices with significant regressions with standing crop and LAI were IRI, NDVIAmber and REIP. The total and green standing crop showed better adjustments than LAI, showing R2 values of 0.5. These values were obtained with REIP index. Results indicate that LAI and standing crop of S. densiflora stands could be determined from spectral data but estimations should be taken carefully in high biomass scenarios, because of indexes saturation at higher LAI values.

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Authors and Affiliations

  1. Universidad Nacional de San Martín, Instituto de investigación e Ingeniería Ambiental, Laboratorio de Ecología, Teledetección y Ecoinformática, 25 de Mayo y Francia, Campus Miguelete UNSAM piso 1, of. 106, San Martín, Buenos Aires, Argentina

    G. González Trilla & P. Kandus

  2. Instituto Argentino de Oceanografía-CONICET, CC 804, Camino La Carrindanga km 7.5, CCT-CONICET-BB, Edificio E1, 8000, Bahía Blanca, Buenos Aires, Argentina

    P. Pratolongo & J. Marcovecchio

  3. Instituto Nacional de Tecnología Agropecuaria, Instituto de Clima y Agua, Castelar, Argentina

    M. E. Beget & C. Di Bella

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  1. G. González Trilla
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  2. P. Pratolongo
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  3. P. Kandus
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  4. M. E. Beget
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  5. C. Di Bella
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  6. J. Marcovecchio
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Correspondence to G. González Trilla.

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González Trilla, G., Pratolongo, P., Kandus, P. et al. Relationship Between Biophysical Parameters and Synthetic Indices Derived from Hyperspectral Field Data in a Salt Marsh from Buenos Aires Province, Argentina. Wetlands 36, 185–194 (2016). https://doi.org/10.1007/s13157-015-0715-6

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  • DOI: https://doi.org/10.1007/s13157-015-0715-6

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