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- W2895091864 abstract "ABSTRACTThe estimation of vegetation parameters, such as above-ground biomass, with high accuracy using remote sensing data, represents a promising approach. The present study develops models to estimate and map above-ground biomass of Mediterranean Quercus rotundifolia stands using one QuickBird satellite image in pan-sharpened mode, with four multispectral bands (blue, green, red and near infrared) and a spatial resolution of 0.70 m. The satellite image was orthorectified, geometrically and radiometrically corrected. Object-oriented classification methods and multi-resolution segmentation were used to derive a vegetation mask per forest species. Data from forest inventory (24 plots) and vegetation indices (NDVI, EVI, SR and SAVI) derived from high spatial resolution satellite images were used for an area of 133 km2, in southern Portugal. The statistical analysis included correlation, variance analysis and linear regression. The linear regression models fitted included the arithmetic mean and the median ..." @default.
- W2895091864 created "2018-10-12" @default.
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- W2895091864 date "2018-01-01" @default.
- W2895091864 modified "2023-10-16" @default.
- W2895091864 title "Above-ground biomass estimation for <i>Quercus rotundifolia</i> using vegetation indices derived from high spatial resolution satellite images" @default.
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- W2895091864 doi "https://doi.org/10.1080/22797254.2018.1521250" @default.
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