Associate Professor, Institute of Botany, Chinese academy of sciences,
CAS Pioneer Hundred Talents Program.
Dr. Yanjun Su received a B.E. degree majored in Surveying Engineering from China University of Geosciences (Beijing) in 2009, a M.S. degree majored in Geographic Information Science from Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS) in 2012, and a Ph.D. degree majored in Environmental Systems from University of California Merced (UC Merced) in 2017. After graduating from UC Merced, he joined the State Key Laboratory of Vegetation and Environmental Changes of the Institute of Botany, CAS as a associate professor in 2017.
Dr. Su has been an active researcher in the field of light detection and ranging (lidar) technology, remote sensing, spatial analysis, and their applications in ecosystem studies during last five years. So far, he has published over 20 peer-reviewed papers, and has been awarded the “William A. Fisher Memorial Scholarship” from the American Society of Photogrammetry and Remote Sensing, the “Southern California Edison Fellowship” from UC Merced, etc. He has actively served as a reviewer for journals in the field of remote sensing, such as International Journal of Remote Sensing, Remote Sensing.
Currently, his research interests focus on 1) the development of lidar data processing algorithms, 2) the application of lidar in forestry, agriculture and urban ecosystems, and 3) the fusion of lidar with other multi-source remotely sensed datasets and its application in regional-global ecosystem studies.
Li, Y., Guo, Q.*, Su, Y., Tao, S., Zhao K., Xu, G., Retrieving the gap fraction, element clumping index, and leaf area index of individual trees using single-scan data from a terrestrial laser scanner. ISPRS Journal of Photogrammetry and Remote Sensing. (Published online).
Ma, Q., Su, Y., Tao, S., Guo, Q.*, Quantifying individual tree growth and tree competition using bi-temporal ALS data: a case study in the Sierra Nevada mountains, California. International Journal of Digital Earth. (Published online).
Ma, Q., Su, Y., Guo, Q.* Comparison of canopy cover estimations from airbornelidar, aerial imagery, and satellite imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. (Published online）.
Xue, B., Guo, Q. *, Hu, T., Xiao, J., Yang, Y., Wang, G, Tao, S., Su, Y., Liu, J. and Zhao, X. Global patterns of woody residence time and its influence on model simulation of aboveground biomass. Global Biogeochemical Cycles.31(5): 821-835.
Xue, B., Guo, Q. *, Hu, T., Wang, G, Wang, Y., Tao, S., Su, Y., Liu, J., and Zhao, X. 2017. Evaluation of modeled global vegetation carbon dynamics: analysis based on global carbon flux and above-ground biomass data. Ecological Modelling. 355 (2017): 84–96.
Guo, Q.*, Su, Y., Hu, T., Zhao, X., Wu, F., Li, Y., Liu, J., Chen, L., Xu, G., Lin, G., Zheng, Y., Lin, Y., Mi, X., Fei, L., Wang, X. 2017. An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China. International Journal of Remote Sensing. 38（8-10）: 2954-2972.（会议论文）
Su, Y., Ma, Q., Guo, Q. *, Kean, J.J., Gerrard, R., Gallagher, C. V. 2017. Fine-resolution forest tree height estimation across the Sierra Nevada through the integration of spaceborne LiDAR, airborne LiDAR and optical imagery. International Journal of Digital Earth. 10(3): 307-323.
Li, Y., Guo, Q. *, Tao, S., Zheng, G., Zhao, K., Xue, B., Su, Y. 2016. Derivation, validation, and sensitivity analysis of terrestrial laser scanning-based leaf area index. Canadian Journal of Remote Sensing. 42(6): 719-729.
Su, Y., Guo, Q. *, Collins, B., Fry, D., Kelly, M. 2016. Forest fuel treatment detection using multi-temporal airborne LiDAR data and high-resolution aerial imagery —- A case study at Sierra Nevada Mountains, California. International Journal of Remote Sensing. 37, 3322 – 3345.
Su, Y., Guo, Q. *, Fry, D. L., Collins, B. M., Kelly, M., Flanagan, J., Battles, J. 2016. A vegetation mapping strategy for conifer forests by combining airborne lidar data and aerial imagery. Canadian Journal of Remote Sensing. 42: 1 – 15
Hu, T., Su, Y., Xue, B., Liu, J., Zhao, X., Fang, J., Guo, Q. * 2016. Mapping global forest aboveground biomass with spaceborne LiDAR, optical imagery, and forest inventory data. Remote Sensing. 8(7): 565.
Su, Y., Guo, Q. *, Xue, B., Alvarez, O., Tao, S., Fang, J. 2016. Spatial distribution of forest aboveground biomass in China: estimation through combination of spaceborne lidar, optical imagery, and forest inventory data. Remote Sensing of Environment. 173(2): 187 – 199.
Zhao, X., Guo, Q. *, Su, Y., Xue, B. 2016. Improved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas. ISPRS Journal of Photogrammetry and Remote Sensing. 117: 79 – 91.
Tempel, D., Gutierrez, R.J., Battles, J., Fry, D., Su, Y., Guo, Q., Reetz, M., Whitmore, S., Jones, G., Collins, B., Stephens, S., Kelly, M., Berigan, W., Perry, Z. 2015. Evaluating short- and long-term impacts of fuels treatments and simulated wildfire on an old-forest species. Ecosphere. 6(12): 1 – 19.
Wan, B. Guo, Q. *, Fang, F., Su, Y., Wang, R. 2015. Mapping US urban extents from MODIS data using one-class classification method. Remote Sensing. 7(8): 10143 – 10163.
Su, Y., Guo, Q. *, Ma, Q., Li, W. 2015. SRTM DEM correction in vegetated mountain areas through the integration of spaceborne LiDAR, airborne LiDAR, and optical imagery. Remote Sensing. 7(9): 11202 – 11225.
Tao, S., Guo, Q. *, Xu, S., Su, Y., Li, Y., Wu, F. 2015. A geometric method for wood–leaf separation using terrestrial and simulated Lidar data. Photogrammetric Engineering and Remote Sensing. 81(10): 767 – 776.
Su, Y., Guo, Q. *2014. A practical method for SRTM DEM correction over vegetated mountain areas. ISPRS Journal of Photogrammetry and Remote Sensing. 87: 216 – 228.
Tao, S., Guo, Q. *, Li, L., Xue, B., Kelly, M., Li W., Xu, G., Su Y. 2014. Airborne Lidar-derived volume metrics for aboveground biomass estimation: a comparative assessment for conifer stands. Agricultural and Forest Meteorology. 198: 24 – 32.
Wang Y., Su Y.*, 2013. Influence of solar activity on breaching, overflowing and course shifting events of the lower yellow river in the late Holocene. Holocene, 23, 656-666. (*通讯作者)
Wang Y., Su Y.*, 2011. The geo-pattern of course shifts of the Lower Yellow River. Journal of Geographical Sciences, 21, 1019-1036. (*通讯作者)
苏艳军, 王英杰, 罗斌, 余卓渊, 2009. 新型网络地图符号概念模型及其描述体系. 地球信息科学学报, 11, 839-844.