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苏艳军


职务/职称: 副研究员
联系电话: 010-62836157
电子邮件: ysu@ibcas.ac.cn
个人网页:
课 题 组: 数字生态系统研究组

苏艳军,男,博士,副研究员,硕士生导师。

苏艳军博士本科毕业于中国地质大学(北京),于2009年取得测绘工程学士学位;2012年,在中国科学院地理科学与资源研究所取得地图学与地理信息系统硕士学位;2017年,在加州大学默塞德分校(University of California Merced)取得环境系统(Environmental Systems)博士学位。博士毕业同年,入选中国科学院百人计划,加入中国科学院植物研究所植被与环境变化国家重点实验室,任职副研究员。

在激光雷达数据处理算法和其在生态系统中的应用取得了一系列原创性成果,截止目前已发表论文20余篇。曾被美国摄影测量学会(American Society of Photogrammetry and Remote Sensing)授予“William A. Fisher Memorial Scholarship”,加州大学默塞德分校授予“Southern California Edison Fellowship”等。现任International Journal of Remote SensingRemote Sensing等国际杂志审稿人。

 

主要研究工作:

1)激光雷达数据的处理算法研究;2)激光雷达技术在林业、农业和城市等生态系统中的应用;3)激光雷达与多源遥感数据的融合研究,以及其在区域到全球尺度生态系统研究中的应用。

欢迎具有遥感和地理信息系统、数学、地理和生态学或计算机科学背景的学生联系报考硕士!

 

代表性论文:

Su, Y., Bales, R., Ma, Q., Nydick, K., Ray, R., Li, W., Guo, Q.*, Emerging stress and relative resiliency of Giant Sequoia groves experiencing multi-year dry periods in a warming climate: Emerging stress of Giant Sequoia groves. Journal of Geophysical Research: Biogeosciences. (Accepted).

Zhao, X., Su, Y., Hu, T., Chen, L., Gao, S., Wang, R., Jin, S., Guo, Q.*, A Global Corrected SRTM DEM Product over Vegetated Areas. Remote Sensing Letters. (Accepted).

Ao, Z., Su Y., Li, W., Guo, Q.*, Zhang, J., One-Class Classification of Airborne LiDAR Data in Urban Areas Using a Presence and Background Learning Algorithm. Remote Sensing.(Accepted). DOI:10.3390/rs9101001.

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. 388-10: 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.

 Wang Y., Su Y.*, 2011. The geo-pattern of course shifts of the Lower Yellow River. Journal of Geographical Sciences, 21, 1019-1036.

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.


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