Forest Investment Account (FIA) - Forest Science Program
FII Project R04-094

    Airborne LiDAR as a powerful new technology for operational forest inventories and sustainable forest management
 
Contributing Authors: Niemann, K. Olaf; Wulder, Michael A.; Lertzman, Kenneth P.; Frazer, Gordon W.
Imprint: Victoria, B.C. : University of Victoria, Department of Geography, 2004
Subject: Forest Investment Account (FIA), Forest inventory, Forestry
Series: Forest Investment Account (FIA) - Forest Science Program
Description:
Understanding the structure and function of forest ecosystems and their interactions with other natural systems at stand, landscape and global scales is fundamental to the development of sustainable forest management practices in British Columbia. In the forests of northwestern North America, forest structure has become a key focus of research because of its significance for timber production, biodiversity, and ecosystem function. Forest structure can be more directly addressed by silvicultural prescriptions and regulatory policy than any other aspect of stand ecology and thus has become a strong management focus as well. This FII-funded research project was designed to address two main questions related to the measurement and management of forest stand structure in BC forests: (1) Can LiDAR remote sensing be used to improve the quality, timeliness, and cost-effectiveness of traditional forest inventories, and (2) Can this technology facilitate the collection of other more ecologically relevant stand attributes that support long-term ecological monitoring and sustainable forest management? The research reported here was undertaken within the Coastal Western Hemlock (CWH) biogeoclimatic zone on south-eastern Vancouver Island; however, findings from this study could be easily adapted for use in other forest regions of BC. The inventory component of this research was conducted on private lands owned by Weyerhaeuser BC Coastal Group, while the Sooke Lake watershed was the focus of study for research on stand structural diversity. Preliminary results indicate that LiDAR data are extremely rich in all kinds of biophysical information related to vertical and horizontal canopy structure, as well as the geometry of the underlying terrain surface. Our research has resulted in the development of a number of promising new techniques for extracting attributes of forest structure from LiDAR data. First, an individual-tree and virtual prism-sampling approach was used to measure standard inventory variables (i.e., stem density, basal area, and volume) at the plot, stand, and land-holdings level. Second, spatial pattern analysis has shown significant potential for quantifying the fine-scale spatial heterogeneity of forest canopies, and may therefore find direct application in the design of variable retention harvesting prescriptions, detailed habitat mapping, and old-growth surveys. In theory, these quantitative estimates of spatial heterogeneity also have the potential to significantly improve the predictive strength of traditional height-based (quantile) estimators currently used in LiDAR studies. More detailed findings from this study will be available as a Ph.D. dissertation, Masterís thesis, and journal publications by late fall 2004.
Olaf K. Niemann et al.

    Deliverables:

Simulation and Quantification... (For. Ecology and Management, Vol. 214(1-3), 65-90)
Final Technical Report (2.6Mb)
Annual Progress Report (0.2Mb)

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Updated August 16, 2010 

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