Guang Zheng's lidar workgroup

October 31, 2019

Presentation and invited talks

  1. Zheng. L.X.Ma. X.F., Wang, Z.X., Yun. The 5th China lidar conference. The application of lidar on precision forestry. Session chair of lidar in forestry, May 2019. Xiamen University.
  2. Zheng. L.X.Ma. X.F., Wang, Z.X., Yun. The spatiotemporal variations of sunlit and shaded forest canopy components — 1st Chinese National conference on the space information technology Nov. 2018, Sanya.
  3. Zheng. L.X.Ma. X.F., Wang, Z.X., Yun. Seeing the forest from 3-D perspective: forest structure and radiation regime. Workshop on lidar-based vegetation remote sensing. Chinese Academy of botany, June 2017.
  4. Zheng. L.X.Ma. X.F., Wang, Z.X., Yun, L. Lu, and L.M. Moskal. Retrieving forest canopy clumping index from 3-D point cloud data: seeing the forest from 3-D perspective: forest structure and radiation regime, challenges, and opportunities. Seattle, WA. Symposium on Systems Analysis in Forest Resources, 2017, August 30.
  5. Zheng. L.X.Ma. X.F., Wang, Z.X., Yun, Quantitative study on forest ecology from 3-D perspective: opportunities and challenges. The annual Chinese conference of physical geography, Nov. 21, 2017, Nanjing.
  6. Zheng, L.X.Ma. X.F., Wang,3-D forest canopy structure and its ecological implications. Chengdu, Symposium of quantitative vegetation remote sensing. Nov. 16, 2016.
  7. Zheng, L. M., Moskal. Lidar-based forest structural parameter retrieval for riparian salmon habitat study. Conference call meeting with USGS, Aug. 2016
  8. Zheng, L. M., Moskal. Oct. 22, 2015. UAS application in Chinese forests. Seattle, keynote speaker at the Precision Forestry Cooperative Board annual meeting, University of Washington.
  9. Zheng. L. X. Ma. W. He. L.M.Moskal, May 5, 2015. Forest canopy structural parameters from three-dimensional point cloud data. College of Natural Resources, University of Idaho.
  10. Zheng, L.X. Ma., W. He, L.M., Moskal. Sep 25, 2014. International workshop 3D vegetation mapping using advanced remote sensing – Implications for seamless modeling of terrestrial ecosystems. Munich, Germany.
  11. Zheng, L.M., Moskal. Sep. 2011. Retrieving leaf area index from the 3-D point cloud data. Seoul National University.
  12. Zheng, L.M., Moskal. April 12, 2011. Computational geometry-based leaf area index retrieving using terrestrial laser scanning in AAG annual meeting, Seattle, WA.
  13. Zheng, L.M., Moskal. April 7, 2011. Leaf orientation retrieval from terrestrial laser scanning based point cloud data. ASPRS Puget Sound and Columbia Regions Fall Info Exchange, BICT-UW technical exchange meeting, Seattle, WA (video-conferencing).
  14. Zheng, L.M., Moskal. June 9, 2011. Geometrical projection-based LAIe estimation from the point cloud data using terrestrial laser scanner. Precision Forestry Cooperative annual meeting. Seattle, WA.
  15. Zheng, L.M., Moskal. Sep 16, 2008. Ground LiDAR-based estimation of changes in biomass and its distribution associated with silvicultural treatment. Shelton, WA.
  16. Zheng, L.M., Moskal. April 14, 2009. Determining LAI from terrestrial LiDAR. ASPRS Puget Sound and Columbia Regions Fall Info Exchange, BICT-UW technical exchange meeting, Seattle, WA (video-conferencing).
  17. Zheng, L.M., Moskal. May 29, 2009. Forest inventory characterization from terrestrial LiDAR. Precision Forestry Cooperative annual meeting. Seattle, WA.
  18. Zheng, L.M., Moskal. Sep. 23, 2009. Obtaining forest inventory parameters and volume from terrestrial LiDAR. Stand Management Cooperative Annual meeting, Shelton, WA.
  19. Zheng, L.M., Moskal. Oct. 2, 2009. Retrieving Forest Biophysical Parameters with Terrestrial LiDAR, Puget Sound and Columbia Regions Fall Info Exchange, Vancouver, WA.