Isolating individual trees in a closed coniferous forest using small footprint lidar data

International Journal of Remote Sensing

Volumn 35, Issue 20, 2014, Pages 7199-7218

  Zhao, Dan ^a,b   Pang, Yong ^b   Li, Zengyuan ^b   Liu, Lijuan ^c  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b RESEARCH INSTITUTE OF FORESTRY   (China)

^c ZHEJIANG A F UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

OPTICAL RADAR; WATERSHEDS;

CANOPY HEIGHT MODELS; CONIFEROUS FORESTS; INDIVIDUAL TREE PARAMETERS; LIGHT DETECTION AND RANGING; RECONSTRUCTION OPERATIONS; SMALL-FOOTPRINT LIDARS; WATERSHED METHODS; WATERSHED TRANSFORMATIONS;

FORESTRY;

ALGORITHM; CANOPY ARCHITECTURE; CONIFEROUS FOREST; FOREST CANOPY; LIDAR; MORPHOLOGY;

CHINA;

EID: 84908409975     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2014.967886     Document Type: Article

References (20)

1. Anderson, H., S. E. Reutebuch, and G. F. Schreuder. 2001. “Automated Individual Tree Measurement through Morphological Analysis of a Lidar-Based Canopy Surface Model.” In Proceeding of the First International Precision Forestry Cooperative Symposium, 11–22. Seattle, WA: College of Forest Resource and College of Engineering, University of Washington; USDA Forest Service.
2. 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: 923–932. doi:10.14358/PERS.72.8.923.
3. Dougherty, E., and R. Lotufo. 2003. Hands-on Morphological Image Processing, 91–162. Bellingham, WA: SPIE Press.
4. Falkowski, M. J., A. Smith, A. T. Hudak, P. E. Gessler, L. A. Vierling, and N. L. Crookston. 2006. “Automated Estimation of Individual Conifer Tree Height and Crown Diameter via Two-Dimensional Spatial Wavelet Analysis of Lidar Data.” Canadian Journal of Remote Sensing 32 (2): 153–161. doi:10.5589/m06-005.
5. Gatziolis, D., J. S. Fried, and V. S. Monleon. 2010. “Challenges to Estimating Tree Height via Lidar in Closed-Canopy Forests: A Parable from Western Oregon.” Forest Science 56: 139–155.
6. Kim, S.-R., D.-A. Kwak, W.-K. Olee, Y. Son, S.-W. Bae, C. Kim, and S. Yoo. 2010. “Estimation of Carbon Storage Based on Individual Tree Detection in Pinus Densiflora Stands Using a Fusion of Aerial Photography and Lidar Data.” Science China Life Sciences 53: 885–897. doi:10.1007/s11427-010-4017-1.
7. Koch, B., U. Heyder, and H. Weinacker. 2006. “Detection of Individual Tree Crowns in Airborne Lidar Data.” Photogrammetric Engineering & Remote Sensing 72: 357–363. doi:10.14358/PERS.72.4.357.
8. 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 (6): 425–434. doi:10.1007/s10310-007-0041-9.
9. Lee, H., K. C. Slatton, B. E. Roth, and W. P. Cropper. 2010. “Adaptive Clustering of Airborne Lidar Data to Segment Individual Tree Crowns in Managed Pine Forests.” International Journal of Remote Sensing 31 (1): 117–139. doi:10.1080/01431160902882561.
10. Li, W. K., Q. H. Guo, M. K. Jakubowski, and M. Kelly. 2012. “A New Method for Segmenting Individual Trees from the Lidar Point Cloud.” Photogrammetric Engineering & Remote Sensing 78 (1): 75–84. doi:10.14358/PERS.78.1.75.
11. Liu, C., and Z. F. Shao. 2012. “Estimation of Forest Carbon Storage Based on Airborne Lidar Data.” Applied Mechanics and Materials 195–196 (2012): 1314–1320. doi:10.4028/www.scientific.net/AMM.195-196.1314.
12. Mitchell, J., N. Glenn, T. Sankey, D. Derryberry, M. Anderson, and R. Hruska. 2011. “Small-Footprint Lidar Estimations of Sagebrush Canopy Characteristics.” Photogrammetric Engineering & Remote Sensing 77: 521–530. doi:10.14358/PERS.77.5.521.
13. Monnet, J. M., E. Mermin, J. Chanussot, and F. Berger. 2010. “Tree Top Detection Using Local Maxima Filtering: A Parameter Sensitivity Analysis.” Silvilaser 2010, Freiburg, unpaginated CD-ROM.
14. Pang, Y., F. Zhao, Z. Y. Li, S. F. Zhou, G. Deng, Q. W. Liu, and E. X. Chen. 2008. “Forest Height Inversion Using Airborne Lidar Technology.” Journal of Remote Sensing 12 (1): 152–158.
15. Popescu, S. C., and R. H. Wynne. 2004. “Seeing the Trees in the Forest: Using Lidar and Multispectral Data Fusion with Local Filtering and Variable Window Size for Estimating Tree Height.” Photogrammetric Engineering & Remote Sensing 70: 589–604. doi:10.14358/PERS.70.5.589.
16. Schardt, M., M. Ziegler, A. Wimmer, R. Wack, and J. Hyyppae. 2002. “Assessment of Forest Parameters by Means of Laser Scanning.” International Archives of Photogrammetry and Remote Sensing XXXIV (3A): 302–309.
17. Soille, P. 2003. Morphological Image Analysis: Principles and Applications. 2nd ed., 63–138. Heidelberg: Springer-Verlag.
18. Wang, L., P. Gong, and G. S. Biging. 2004. “Individual Tree-Crown Delineation and Treetop Detection in High-Spatial-Resolution Aerial Imagery.” Photogrammetric Engineering & Remote Sensing 70: 351–357. doi:10.14358/PERS.70.3.351.
19. Zhao, D., Y. Pang, Z. Y. Li, and G. Q. Sun. 2013. “Filling Invalid Values in a Lidar-Derived Canopy Height Model with Morphological Crown Control.” International Journal of Remote Sensing 34 (13): 4636–4654. doi:10.1080/01431161.2013.779398.
20. Zhao, K. G., and S. Popescu. 2007. “Hierarchical Watershed Segmentation of Canopy Height Model for Multi-Scale Forest Inventory.” International Archives of Photogrammetry and Remote Sensing (IAPRS) XXXVI (3/W52): 436–441.