Using digital photographs and object-based image analysis to estimate percent ground cover in vegetation plots

By J. Luscier, W. Thompson, John M. Wilson, Bruce E. Gorham, Lucian Dragut. 2006

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Impact of sudden oak death on tree mortality in the Big Sur ecoregion of California (2008, background): “Object-based classification is especially useful for generalizing spectral information in high resolution imagery while maintaining its spatial detail (Luscier et al. 2006; Yu et al. 2006).”
Object based image analysis for remote sensing (2010, methodology): “Luscier et al. (2006) evaluated precisely an OBIA method based on digital photographs of vegetation, to objectively quantify the percentage ground cover of grasses, forbs, shrubs, litter, and bare ground within 90 plots of 2 by 2 m: the observed differences between true cover and OBIA results…”
ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data (2010, background): “Besides the scale parameter, shape and compactness weighting might heavily impact on the segmentation results, particularly in classifications facing the challenge of spectrally similar objects (Luscier et al .”
Multivariate correlations between imagery and field measurements across scales: comparing pixel aggregation and image segmentation (2010, methodology): “Luscier et al. (2006), using a manual, iterative process, identified the segmentation level that resulted in objects that gave the highest coefficients of agreement between field plot photos and control data.”