Estimating The Carbon Content Of Coastal Wetland Vegetation With Visible And Near-Infrared Reflectance Spectroscopy

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)(2019)

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摘要
Efficiently investigation for carbon storage of wetland vegetation is essential to maintain the balance between wetland development and carbon sink-economic value protection. Visible and near-infrared (VNIR) spectroscopy has been widely applied in many domains. However, few studies have focused on estimation of carbon storage of wetland vegetation using this technique. In particular, this study aimed to explore the feasibility of estimating the aboveground vegetation organic carbon content (AVOCC) of coastal wetland with the canopy reflectance spectra. Partial least-square regression was adopted to calibrate the VNIR model for the canopy reflectance spectra and organic carbon contents. Results showed that the good prediction was achieved using Savitzky-Golay smoothing method, with R(2)p = 0.83, RMSEP= 0.16 kg/m(2) and RPD = 2.21. Therefore, the coupling of VNIR spectroscopy and PLSR could serve as an alternative method of estimating the AVOCC in coastal wetland, and have potential for the estimation of wetland vegetation carbon storage.
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关键词
Visible and near-infrared reflectance spectroscopy, Partial least squares regression, Carbon storage, Wetland vegetation
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