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Hyperspectral Characteristics of Canopy Components and Structure for Phenological Assessment of an Invasive Weed
Authors:Shaokui Ge  James Everitt  Raymond Carruthers  Peng Gong  Gerald Anderson
Institution:(1) Center for Assessment and Monitoring of Forest and Environmental Resources, University of California, Berkeley, California, U.S.A.;(2) USDA ARS, Kika de la Garza Subtropical Agricultural Research Center, Integrated Farming and Natural Resources Research Unit, 2413 E Hwy 83, Weslaco, Texas, U.S.A.;(3) Exotic and Invasive Weeds Research Unit, Western Regional Research Center Agricultural Research Service, USDA, 800 Buchanan Street Albany, California, U.S.A.;(4) USDA Agricultural Research Service, Northern Plains Area, 1500 North Central Avenue, Sidney, Montana, Sidney
Abstract:Spectral reflectance values of four canopy components (stems, buds, opening flowers, and postflowers of yellow starthistle (Centaurea solstitialis)) were measured to describe their spectral characteristics. We then physically combined these canopy components to simulate the flowering stage indicated by accumulated flower ratios (AFR) 10%, 40%, 70%, and 90%, respectively. Spectral dissimilarity and spectral angles were calculated to quantitatively identify spectral differences among canopy components and characteristic patterns of these flowering stages. This study demonstrated the ability of hyperspectral data to characterize canopy components, and identify different flowering stages. Stems had a typical spectral profile of green vegetation, which produced a spectral dissimilarity with three reproduction organs (buds, opening flowers, and postflowers). Quantitative differences between simulated flower stages depended on spectral regions and phenological stages examined. Using full-range canopy spectra, the initial flowering stage could be separated from the early peak, peak, and late flowering stages by three spectral regions, i.e. the blue absorption (around 480 nm) and red absorption (around 650 nm) regions and NIR plateau from 730 nm to 950 nm. For airborne CASI data, only the red absorption region and NIR plateau could be used to identify the flowering stages in the field. This study also revealed that the peak flowering stage was more easily recognized than any of the other three stages.
Keywords:invasive species                  Centaurea solstitialis                spectral characteristics  flowering phenological stages  hyperspectral remote sensing
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