Donald G. Leckie

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Sustainable forest management practices allow for a range of harvest prescriptions, including clearcut, clearcut with residual, and partial or selective cutting, which are largely distinguished by the amount of canopy cover removed. The different prescriptions are aimed to emulate natural disturbance, encourage regeneration (seed trees), or offer other(More)
We investigated conifer plantation management in Japan using high-resolution airborne data based on an individual tree crown (ITC) approach. This study is the first to apply this technique to Japanese forests. We found that forest resources can be measured at the level of a single tree. We also produced a tree-crown map for a test site with Chamaecyparis(More)
The main objective is to propose a wrapper feature selection algorithm for analyzing the Radarsat-2 polarimetric SAR data for the classification of boreal forest. The method is based on the concept of feature selection and classifier ensemble. The support vector machine (SVM) algorithm is used as the classifier. The limitation of SVM as the evaluation(More)
The main objective is to propose a wrapper feature selection algorithm for analyzing the polarimetric SAR data for forest mapping. The method is based on the concept of feature selection and classifier ensemble. Due to its ability to take numerous and heterogeneous features into account, the support vector machine (SVM) algorithm is used as the classifier.(More)
As the number of satelliteborne SAR systems increases, both the availability and the length of multitemporal (MT) sequences of SAR images have also increased. Reported research with MT SAR sequences suggests that they increase the classification accuracy for all applications over single-date images. The length of the MT SAR sequences reported in the(More)
There are a wide range of SAR parameters that may be extracted from polarimetric SAR data. In very complex scenes like forests it is very useful to exploit the discriminative power offered by these features. Most of these features are of complex and sometimes unknown statistical properties. For this, the conventional feature selection algorithms cannot be(More)
One of the key problems in automated individual tree crown delineation, whether from multispectral or lidar data, is the grouping of several trees into a single tree crown outline (isol). Using airborne multispectral imagery, we explored four approaches to breaking such isols into multiple crowns: “core,” “tree top,”(More)
A clustering termination procedure which is locally adaptive (with respect to the hierarchical tree of sets representative of the agglomerative merging) is proposed, for agglomerative hierarchical clustering on a set equipped with a distance function. It represents a multi-scale alternative to conventional scale dependent threshold based termination(More)
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