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Grass species differentiation through canopy hyperspectral reflectance
Authors:J. G. N. Irisarri  M. Oesterheld  S. R. Verón  J. M. Paruelo
Affiliation:1. IFEVA, Cátedra de Ecología, Faculty of Agronomy, University of Buenos Aires , CONICET, Av. San Martín 4453, Ciudad de Buenos Aires, C1417DSE, Argentina irisarri@agro.uba.ar;3. IFEVA, Cátedra de Ecología, Faculty of Agronomy, University of Buenos Aires , CONICET, Av. San Martín 4453, Ciudad de Buenos Aires, C1417DSE, Argentina
Abstract:This study attempts (1) to evaluate the capability of hyperspectral reflectance to differentiate C3 and C4 grass species, both in isolation and in mixed canopies; (2) to identify the critical spectral ranges that differentiate the two groups and individual species within them; and (3) to determine if there is temporal variation in these capabilities. During one year, hyperspectral reflectance of C3 and C4 grass species was measured both in single-species and in mixed canopies. Spectral bands with higher differentiating potential were identified and species classified. For single-species canopies, hyperspectral reflectance differentiated the two functional groups and most species in all seasons. In mixed canopies, it underestimated the fractional cover of the C4 component. The green, red, and near infrared above 820 nm spectral ranges were critical both for species and functional group differentiation. In conclusion, hyperspectral information was useful to differentiate pure canopies, but the differentiation algorithms were season-specific. Additionally, we need to improve our understanding of interactive effects of species in order to accurately estimate the composition of assemblages.
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