Using LiDAR technology in forestry activities
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Managing natural resources in wide-scale areas can be highly time and resource consuming task which requires significant amount of data collection in the field and reduction of the data in the office to provide the necessary information. High performance LiDAR remote sensing technology has recently become an effective tool for use in applications of natural resources. In the field of forestry, the LiDAR measurements of the forested areas can provide high-quality data on three-dimensional characterizations of forest structures. Besides, LiDAR data can be used to provide very high quality and accurate Digital Elevation Model (DEM) for the forested areas. This study presents the progress and opportunities of using LiDAR remote sensing technology in various forestry applications. The results indicate that LiDAR based forest structure data and high-resolution DEMs can be used in wide-scale forestry activities such as stand characterizations, forest inventory and management, fire behaviour modeling, and forest operations.
KeywordsDEM Forestry activities LiDAR Remote sensing
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- Akay, A. E. (2004). A new methodology in designing forest roads. The Turkish Journal of Agriculture and Forestry, 28, 273–279.Google Scholar
- Akay, A. E. & Sessions, J. (2005). Applying the Decision Support System, TRACER, to Forest Road Design. Western Journal of Applied Forestry, 20(3), 184–191.Google Scholar
- Akay, A. E., Karas, I. R., Sessions, J., Yuksel, A., Bozali, N., & Gundogan, R. (2004). Using high-resolution digital elevation model for computer-aided forest road design, The Proceedings for XXth International Society for Photogrammetry and Remote Sensing (ISPRS) Congress, Istanbul, Turkey, July.Google Scholar
- Andersen, H. A. (1999). The use of airborne laser scanner data (LiDAR) for forest measurement applications. Seattle: Precision Forestry Cooperative, College of Forest Resources, University of Washington, 32p.Google Scholar
- Brandtberg, T., Warner, T. A., Landenberger, R. E., & McGraw, J. B. (2002). Detection and analysis of individual leaf-off tree crowns in small footprint, high sampling density lidar data from the eastern deciduous forest in North America. Remote Sensing of Environment, 85, 290–303.CrossRefGoogle Scholar
- Chung, W. (2003). Optimization of Cable Logging Layout Using a Heuristic Algorithm for Network Programming. Ph.D. Thesis. Oregon State University, College of Forestry, Department of Forest Engineering, Corvallis, Oregon, 198 p.Google Scholar
- Reutebuch, S. E., Andersen, H., & McGaughey, R. J. (2005). Light Detection and Ranging (LIDAR): An emerging tool for multiple resource inventory. Journal of Forestry, 103(6), 286–292.Google Scholar
- Reutebuch, S. E., McGauhey, R. J., Andersen, H. E., & Carson, W. W. (2003). Accuracy of high-resolution LIDAR terrain model under a conifer forest canopy. Canadian J. of Remote Sensing, 29, 527–535.Google Scholar
- Sessions, J. & Chung, W. (2003). An approach to optimizing helicopter logging operations. (pp. 81–86). In proceedings of the 2000 Systems Analysis Symposium in Forest Resources, Aspen, Colorado, Sept 28–30. Volume 7, Managing Forest Ecosystems, Kluwer Press.Google Scholar
- Zutter, B. R., Oderwald, R. G., Murphy, P. A., & Farrar Jr., R. M. (1986). Characterizing diameter distributions with modified data types and forms of the Weibull distribution. Forest Science, 32, 37–48.Google Scholar