By Guofan Shao, Keith M. Reynolds
This booklet is the main entire and up to date remedy of computing device functions in forestry. it's the first textual content on software program for wooded area administration to stress integration of desktop functions. It additionally deals vital new insights on easy methods to proceed advancing computational applied sciences in wooded area management.
The authors are internationally-recognized experts within the topics presented.
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Additional info for Computer Applications in Sustainable Forest Management Including Perspectives on Collaboration and I
3 Region-based segmentation Region-based tree segmentation is the direct search for a group of pixels that likely represent a single tree. Some algorithms combine an initial localmaxima detection methodology with a subsequent region-based approach. For example, Pinz et al. (1993) identified local maxima as candidate treecenter points within a series of low pass filtered images. The region surrounding each local maximum was then sequentially tested for the radial High-Spatial-Resolution Remote Sensing 27 brightness distribution pattern that is characteristic of trees.
In their study, the boundary of the tree segment is defined as the point of maximum rate of brightness change. Their method was found to detect 91% of the trees, and estimate crown diameters to within 18% of field measurements, based on a test site of coniferous forest regeneration in Ontario, Canada. The trees at this site were very small, with a crown diameter of approximately 1 meter; the pixel sizes in their study varied from 5-30 cm. Erikson (2003) used a region growing approach to segment single tree crowns in aerial photographs from a mixed-species boreal forest in central Sweden.
Figure 2-2. Left: Multi-detector Electro-optical Imaging Sensor (MEIS) 31 cm pixel image of part of the Hudson Plantation at the Petawawa National Forestry Institute, Ontario, Canada. Middle: Initial results of applying a valley-following program to identify trees. Right: Final results after applying a rule-based crown delineation program, which modifies the initial crown delineation results, for example by separating segments that have deep embayments. (Reprinted from Canadian Journal of Remote Sensing Vol.