SEFS Professor Monika Moskal just returned from a week-long trip to China, which included giving a keynote address—“LiDAR for the Measurement and Monitoring of Forest Ecosystem Services”—at the 2013 SilviLaser conference in Beijing, October 9-11 (the “13th International Conference on LiDAR Applications for Assessing Forest Ecosystems”).
During her trip, Professor Moskal had the opportunity to catch up with one of her former graduate students at SEFS, Guang Zheng, who is now an associate professor of remote sensing at Nanjing University. Guang’s Ph.D. work, which resulted in five peer-reviewed publications, was funded by Moskal’s grant through the National Science Foundation’s Center for Advanced Forestry Systems. Guang is continuing his work with terrestrial LiDAR, and one of his students presented a paper—with Moskal as a collaborator—about classifying point cloud data into ground, leaf and trunk points. This is a breakthrough in LiDAR analysis, says Moskal, as the method is not sensor dependent and can be applied to any 3-D point cloud data (including aerial LiDAR).
Another presenter at the conference was Zhongya Zhang, who was a visiting student in Moskal’s lab for two years. Zhongya presented their work in collaboration with another SEFS student, Alexandra Kazakova, on using hyperspectral imagery and LiDAR to classify forest tree species. This work was funded by McIntire-Stennis funds, as well as the Precision Forestry Cooperative.
Also, a day before the SilviLaser conference, Moskal was invited to address a group of students and faculty at the University of Geosciences in Beijing. She spoke about the hyper-resolution remote sensing research that is a big focus and specialty of her Remote Sensing and Geospatial Analysis Laboratory at SEFS.
Photos © Monika Moskal.