Mike A. Wulder

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Forests are the most widely distributed ecosystem on the earth, affecting the lives of most humans daily, either as an economic good or an environmental regulator. As forests are a complex and widely distributed ecosystem, remote sensing provides a valuable means of monitoring them. Remote-sensing instruments allow for the collection of digital data through(More)
Numerous large-area, multiple image-based, multiple sensor land cover mapping programs exist or have been proposed, often within the context of national forest monitoring, mapping and modelling initiatives, worldwide. Common methodological steps have been identified that include data acquisition and preprocessing, map legend development, classification(More)
Canada is a large nation with forested ecosystems that occupy over 60% of the national land base, and knowledge of the patterns of Canada's land cover is important to proper environmental management of this vast resource. To this end, a circa 2000 Landsat-derived land cover map of the forested ecosystems of Canada has created a new window into understanding(More)
The feasibility of generating via Landsat TM data current estimates of cover type proportions for areas lacking this information in the national forest inventory was explored by a case study in New Brunswick. A recent forest management inventory covering 4196 km2 in south-eastern New Brunswick (the test area) and a coregistered Landsat TM scene was used to(More)
Remote sensing instruments generally regularize a continuous ground surface into a grid of similarly sized and shaped pixels. This regularization results in similarity of neighboring pixels which represent the same objects on the ground. The above ground organization of vegetation in a forest is considered the forest structure. At a high spatial resolution,(More)
Tree crown recognition with high spatial resolution remotely sensed imagery provides useful information relating the number and distribution of trees in a forest. A common technique used to identify tree locations uses a local maximum (LM) filter with a static-sized (user-specified) moving window. LM techniques operate on the assumption that high local(More)
Luis Carvalho, Geoffrey Hay, Mike Wulder, Fionn Murtagh 1 passarinho@dcf.ufla.br, Department of Forest Sciences – Federal University of Lavras, Brazil. 2 gjhay@ucalgary.ca, Department of Geography – University of Calgary, Canada. 3 mike.wulder@nrcan-rncan.gc.ca, Canadian Forest Service – Natural Resources Canada, Canada. 4 fionn@cs.rhul.ac.uk, Department of(More)
Methods to identify individual trees in high spatial resolution imagery begin with the identification of local maxima in a spectral channel. To increase the utility of the local maximum (LM) technique for tree location estimation using high resolution imagery, we have developed filters based on image directionality. INTRODUCTION To increase the utility of(More)
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