Stand delineation and composition estimation using semi-automated individual tree crown analysis

By D. Leckie. 2003

263 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/4cb2e39ef88b0573602287f64454cb1a92df9bfe

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

In Environmental Engineering

In Nature and Landscape Conservation

Citations in the corpus

Individual tree detection based on variable and fixed window size local maxima filtering applied to IKONOS imagery for even-aged Eucalyptus plantation forests (2011, background): “…Journal of Remote Sensing ISSN 0143-1161 print/ISSN 1366-5901 online © 2011 Taylor & Francis http://www.tandf.co.uk/journals DOI: 10.1080/01431161003777205 and biomass estimates to larger areas, and as such is very important to forest management decision-making (Leckie et al. 2003).”
An automated object-based approach for the multiscale image segmentation of forest scenes (2005, background): “…inventory update (Wulder and Seemann, 2003), multiscale object-based land-cover mapping (Hall et al., 2004), scale-space sedimentary analysis (Stewart et al., 2004), multiscale watershed analysis (Steinhardt and Volk, 2003), and tree-crown-based forest stand delineation (Leckie et al., 2003).”
A review of methods for automatic individual tree-crown detection and delineation from passive remote sensing (2011, methodology): “However, in open forest where trees were more sparsely distributed, the locally adaptive binarization detected a lower proportion of non-tree maxima, since it more effectively removed background from the image.”
Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data (2012, background): “Pseudotsuga menziesii, Abies grandis, Abies amabilis, Thuja plicata, Tsuga heterophylla & hardwood [88]”
Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales (2005, methodology): “ML has been widely used in ITC species classification (Gougeon, 1995; Key et al., 2001; Leckie et al., 2003; Meyer et al., 1996).”
Issues in species classification of trees in old growth conifer stands (2005, methodology): “Leckie et al. (2003) used similar CASI imagery for healthy young stands of red cedar, western hemlock, balsam (amabilis fir), grand fir (Abies grandis Dougl. ex Loud.)”
Combining ensemble modeling and remote sensing for mapping individual tree species at high spatial resolution (2013, background): “Airborne hyperspectral imagery has also been found to produce high accuracies for identifying individual tree species (e.g. Aspinal, 2002; Leckie et al., 2003, 2005; Boschetti et al., 2007; Jones et al., 2010).”