June

I was invited to make a presentation titled “Integrating LiDAR and optical imagery to monitor seedlings, trees, and forests at corresponding scales” at the 10th workshop on LiDAR remote sensing of forest ecology.

We conducted a field experiment in Saihanba (塞罕坝) National Forest Park to obtain LiDAR point cloud of dozens of forest plots, which characterizes variability in forest age, slope, and height above sea. Multispectral UAV imagery was also obtained for each plot as the complementary data from nadir view.

All slides (in Chinese) of a UAV remote sensing of vegetation-related course (Name: low-altitude UAV quantitative remote sensing of vegetation; Abbreviation: DRSV-103) were disclosed for everyone who wants to learn. Exercises and some example data were also made available to the public. You may find these slides in the course menu in this website.

We took a group photo in the season of graduation. Many thanks to Prof. Huaguo HUANG and Prof. Ling CHEN who gave me opportunity to co-supervise these excellent students.

May

Congratulations! We are happy to say Shiyou YU and Shuo YANG successfully passed the thesis defense. “桃李春风一杯酒，从此江湖君独行”. Many many blessings to you.

April

I attended the 6th China Smart Forestry Conference (智慧林业大会) held in Hangzhou from 25th to 27th April. I made a presentation about phenotyping traits measurement and breeding of color-leaved plants. I have also learned many new and very interesting studies there.

We welcome two new graduate students, Xiaoyan LIU from Hebei and Minghao SUI from Hunan, to join our team.

March

Invited by CIAPST (中国国际科技促进会低空经济分会), I made a presentation about low-altitude UAV remote sensing in agriculture, forestry, and ecology applications for the audiences who have no knowledge background of remote sensing.

The Key R&D Program Project (突发事件即时遥感探测及生态损害评估技术与示范应用) implementation plan kick-off meeting was successfully held at Beijing Normal University.

February

From this semester, I have introduced a specialized elective course for undergraduates titled “Low-altitude UAV remote sensing of forestry”. Everyone can find the slides on this website (see Course).

January

Our work about tree-level trait retrieval based on a physically-based model has been accepted and published in Remote Sensing of Environment. Congratulations, and many thanks to all co-authors.