Evaluating TIFFS (Toolbox for LiDAR Data Filtering and Forest Studies) in Deriving Forest Measurements from LiDAR Data
Parole chiave:
Lidar, remote sensing, forestryAbstract
Recent advances in LiDAR (Light Detection and Ranging) technology have allowed for the remote sensing of important forest characteristics to be more reliable and commercially available. Studies have shown that this technology can adequately estimate forest characteristics such as individual tree locations, tree heights, and crown diameters. These values are then used to estimate biophysical properties of forests, such as basal area and timber volume. This study assessed the capability of a commercially available program, Tiffs (Toolbox for LiDAR Data Filtering and Forest Studies), to accurately estimate forest characteristics, as compared to data collected at the plot level using traditional timber sampling methods. We found a high, positive correlation coefficient (r) of 0.8223 for tree heights, between the LiDAR-derived measurements and the field measurements, which is somewhat promising. However, we found low correlations in tree count per plot (r = 0.1777) and tree crown radius (r = 0.1517), between the LiDAR-derived measurements and the field measurements, results which are far from satisfactory.
Riferimenti bibliografici
Burkman, B. 2005. Forest inventory and analysis sampling and plot design. FIA Fact Sheet Series. Available at: http://a.fs.fed.us/library/fact-sheets/data-collections/Sampling%20and%20Plot%20Design.pdf. Accessed on September 6, 2009.
Chen, Q. 2007. Airborne lidar data processing and information extraction. Photogrammetric Engineering & Remote Sensing. 73(2):109-112.
Chen, Q., D. Baldocchi, P. Gong, and M. Kelly. 2006. Isolating individual trees in a savanna woodland using small footprint lidar data. Photogrammetric Engineering & Remote Sensing. 72(8): 923-932.
Evans, D. L., S. D. Roberts, and R. C. Parker. 2006. Lidar – a new tool for forest measurements? The Forestry Chronicle. 82(2):211-218.
Holmgren, J., M. Nilsson, and H. Olsson. 2003. Estimation of tree height and stem volume on plots using airborne laser scanning. Forest Science. 49(3):419-428.
Hyde, P., R. Dubayah, W. Walker, J. B. Blair, M. Hofton, and C. Hunsaker. 2006. Mapping forest structure for wildlife habitat analysis using multi-sensor (LiDAR, SAR/InSAR, ETM+, Quickbird) synergy. Remote Sensing of Environment. 102(1-2):63-73.
Kwak, D., W. Lee, J. Lee, G. S. Biging, and P. Gong. 2007. Detection of individual trees and estimation of tree height using lidar data. Journal of Forest Research. 12(16): 425-434.
Lefsky, M. A., W. B. Cohen, G. G. Parker, D. J. Harding. 2002. Lidar remote sensing for ecosystem studies. BioScience. 52(1):19-30.
Lim, K., P. Treitz, W. Cohen, and M. Berterretche. 2003. Lidar remote sensing of forest structure. Progress in Physical Geography. 27(1):88-106.
Means, J. E., S. A. Acker, B. J. Fitt, M. Renslow, L. Emerson, and C. J. Hendrix. 2000. Predicting forest stand characteristics with airborne scanning lidar. Photogrammetric Engineering & Remote Sensing. 66(11):1367-1371.
Omasa, K., F. Hosoi, and A. Konishi. 2007. 3D lidar imaging for detecting and understanding plant responses and canopy structure. Journal of Experimental Botany. 58(4):881-898.
Reutebuch, S. E., H. E. Anderson, and R. J. McGaughey. 2005. Light detection and ranging (lidar): an emerging tool for multiple resource inventory. Journal of Forestry. 103(6):286-292.
Russell, C. C. 2002. An early history of the Stephen F. Austin Experimental Forest: utilizing interactive multimedia and oral histories. MS thesis, Stephen F. Austin State University, Nacogdoches, Texas.
Simard, R., P. Belanger, M. R. Mohamed, and M. A. Othman. 2003. Airborne lidar surveys – an economic technology for terrain data acquisition. In: Proceedings of the Map Asia Conference 2003; 2003 Oct 13-15; Putra World Trade Centre, Kuala Lumpur, Malaysia. GISDevelopment.net.
Unger, D., J. Kroll, I-K. Hung, J. Williams, D. Coble, and J. Grogan. 2008. A standardized, cost-effective, and repeatable remote sensing methodology to quantify forested resources in Texas. Southern Journal of Applied Forestry. 32(1):12-20.
Wehr, A., and U. Lohr. 1999. Airborne laser scanning – an introduction and overview. ISPRS Journal of Photogrammetry and Remote Sensing. 54(2-3):68-82.
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