Prof. Qinghua Guo, Professor, Institute of Botany, Chinese Academic of Science


Address: No.20 Nanxin Village, XiangshanHaidian District, Beijing, 100093

Research Interests

Professor Guo’s research includes the methodology and application of remote sensing and geographical information science. Research interests mainly focus on the extraction and retrieval of 3D structure and functional parameter of vegetation based on LiDAR and its fusion with multi-source remote sensing data, including:

(1) Software and hardware developments of LiDAR and its application in agroforest and urban ecosystems;

(2) Integrated system of hardware and software for high-throughput crop phenotyping;

(3) Species distribution model algorithm (geographic one-class data) and its application in simulating biodiversity pattern;

(4) Multi-scale and multi-source remote sensing data fusion, computing and information release;

(5) Simulating and predicting the effect of climate change and land use change on structure and function of terrestrial ecosystem (such as carbon cycling, biodiversity etc.) at reginal and global scale, through combination of multi-source remote sensing data and ecological model. 


Ph.D. 2005. Department of Environmental Science, Policy and Management, UC-Berkeley
M.S. 1999. Institute of Remote Sensing and GIS, Peking University, China
B.S. 1996. Department of Urban and Environmental Science, Peking University, China


Work Experience

2012- Present,  Professor (“Thousand Talent Program for Young Outstanding Scientists”), IOB, Chinese Academic of Science.

2005-2011,  Research Associate, Associate Professor, and then Professor, University of California, Merced, USA




Su Y., Ma Q., Guo Q. *, Kean J.J., Gerrard R., Gallagher C. V. 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. (Accepted)

Li, Y., Guo, Q. *, Tao, S., Zheng, G., Zhao, K., Xue, B., Su, Y. Derivation, validation, and sensitivity analysis of terrestrial laser scanning-based leaf area index. Canadian Journal of Remote Sensing. (In press).

郭庆华 *, 吴芳芳, 胡天宇, 陈琳海, 刘瑾, 赵晓倩, 高上, 庞树鑫. 2016. 无人机在生物多样性遥感监测: 应用现状与前景展望. 生物多样性. Doi: 2016105(in press).

郭庆华 *, 刘瑾, 李玉美, 翟秋萍, 王永财, 吴芳芳, 胡天宇, 万华伟, 刘慧明, 申文明. 2016. 生物多样性近地面遥感监测中的应用现状与展望. 生物多样性. 24(11): 1 - 20.

郭庆华 *, 吴芳芳, 庞树鑫, 赵晓倩, 陈琳海, 刘瑾, 薛宝林, 徐光彩, 李乐, 景海春, 储成才. 2016. Crop 3D—基于激光雷达技术的作物高通量三维表型测量平台. 中国科学:生命科学. 46(10):1210 -1221.

Tao, S., Guo, Q. *, Wu, F., Li, L., Wang, S., Tang, Z., Xue, B., Liu, J., Fang, J. 2016. Spatial scale and pattern dependences of aboveground biomass estimation from satellite images: a case study of the Sierra National Forest, California. Landscape Ecology. 31(8): 1711 - 1723.

Xue, B., Guo, Q. *, Gong, Y., Hu, T., Liu, J., Ohta T. 2016. The influence of meteorology and phenology on net ecosystem exchange in an eastern Siberian boreal larch forest. Journal of Plant Ecology. DOI: 10.1093/jpe/rtv075.

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

Zapata-Rios, X., Brooks, P., Troch, P., McIntosh, J., Guo, Q. 2016. Influence of terrain aspect on water partitioning, vegetation structure, and vegetation greening in high elevation catchments in northern New Mexico. Ecohydrology. 9(5): 782 - 795.

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.


Xue, B., Guo, Q. *, Otto, A., Xiao, J., Tao, S., Li, L. 2015. Global patterns, trends, and drivers of water use efficiency from 2000 to 2013. Ecosphere. 6(10): 1 - 18.

Xue, B., Li, Z., Yin, X., Zhang, T., Iida, S., Otsuki, K., Ohta, T., Guo, Q. * 2015. Canopy conductance in a two-storey Siberian boreal larch forest, Russia. Hydrological Processes. 29(6): 1017 - 1026.

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., Fang, J., Zhao, X., Zhao, S., Shen, H., Hu, H., Tang, Z., Wang, Z., Guo, Q. 2015. Rapid loss of lakes on the Mongolian Plateau. Proceedings of the National Academy of Sciences of the United States of America. 112(7): 2281 - 2286.

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.

Tao, S., Wu, F., Guo, Q. *, Wang, Y., Li, W., Xue, B., Hu, X., Li, P., Tian, D., Li, C., Yao, H., Li, Y., Xu, G., Fang, J. 2015. Segmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories. ISPRS Journal of Photogrammetry and Remote Sensing. 110: 66 - 76.

Zhao, K., García, M., Liu, S., Guo, Q., Chen, G., Zhang, X., Zhou, Y., Meng, X. 2015. Terrestrial lidar remote sensing of forests: Maximum likelihood estimates of canopy profile, LAI, and leaf angle distribution. Agricultural and Forest Meteorology. 209: 100 - 113.

Li, L., Guo, Q. *, Tao, S., Kelly, M., Xu, G. 2015. Lidar with multi-temporal MODIS provide a means to upscale predictions of forest biomass. ISPRS Journal of Photogrammetry and Remote Sensing. 102: 198 - 208.


Alvarez, O., Guo, Q. *, Klinger, R. Li, W., Doherty, P. 2014. Comparison of elevation and remote sensing derived products as auxiliary data for climate surface interpolation. International Journal of Climatology. 34: 2258 - 2268.

Doherty, P., Guo, Q. *, Li, W., Doke, J. 2014. Space-time analyses for forecasting future incident occurrence: A case-study from Yosemite National Park using the presence and background learning algorithm. International Journal of Geographical Information Science. 28(5): 910 - 927.

Doherty, P., Guo, Q. *, Doke, J., Ferguson.D. 2014. An analysis of probability of area techniques for missing persons in Yosemite National Park. Applied Geography. 47: 99 - 110.

郭庆华*, 刘瑾, 陶胜利, 薛宝林, 李乐, 徐光彩, 李文楷, 吴芳芳, 李玉美, 陈琳海, 庞树鑫. 2014. 激光雷达在森林生态系统监测模拟中的应用现状与展望. 科学通报, 59(6), 459-478.

Harpold, A. A., Guo, Q., Molotch, N., Brooks, P., Bales, R., Fernandez-Diaz, J.C., Musselman, K. N., Swetnam, T. L., Kirchner, P., Meadows, M., Flanagan,J., Lucas, R. 2014. Lidar-derived snowpack datasets from mixed conifer forests across the western U.S. Water Resources Research. 50(3): 2749 - 2755.

Kirchner, P. B., Bales, R. C., Molotch, N. P., Flanagan, J., Guo, Q. 2014. LiDAR measurement of seasonal snow accumulation along an elevation gradient in the southern Sierra Nevada, California. Hydrology and Earth System Sciences. 18(18): 4261 - 4275.

Li, W., Guo, Q. * 2014. A new accuracy assessment method for one-class remote sensing classification. IEEE Transactions on Geoscience and Remote Sensing. 52(8): 4621 - 4632.

Lu, X., Guo, Q. *, Li, W., Flanagan, J. 2014. A bottom-up approach to segment individual deciduous trees using leaf-off Lidar point cloud data. ISPRS Journal of Photogrammetry and Remote Sensing. 94: 1 - 12.

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.

Xu, S., Yang, S., Sun, F., Guo, Q. 2014. Method research on cultivated land extraction based on object one-class classification of high-spatial-resolution images. Bulletin of Surveying and Mapping. 10: 78 - 81 (in Chinese).

Zhou, Y. Chen, J., Guo,Q. *, Cao, R., Zhu, X. 2014. Restoration of information obscured by mountainous shadows through Landsat TM/ETM+ images without the use of DEM data: A new method. IEEE Transactions on Geoscience and Remote Sensing. 52(1): 313 - 328.


Berlow, E., Knapp, R., Ostoja, S., Williams, R., McKenny, H., Matchett, J., Guo, Q, Fellers, G., Kleeman, P., Brooks, M. 2013. A network extension of species occupancy models in a patchy environment applied to the Yosemite Toad (Anaxyrus canorus). PloS ONE. 8(8): e72200.

Jakubowski, M.K., Li, W., Guo, Q., Kelly, M. 2013. Delineating individual trees from Lidar data: a comparison of vector- and raster-based segmentation approaches. Remote Sensing. 5: 4163 - 4186.

Li, W., Guo, Q. * 2013. How to assess the prediction accuracy of species presence-absence models without absence data? Ecography. 36: 788 - 799.

Jakubowski, M., Guo, Q., Kelly, M. 2013. Tradeoffs between Lidar pulse density and forest measurement accuracy. Remote Sensing of Environment. 130: 245 - 253.

Jakubowski, M., Guo, Q., Collins, B., Stephens, S., Kelly, M. 2013. Predicting surface fuel models and fuel metrics using Lidar and CIR imagery in a dense, mountainous forest. Photogrammetric Engineering and Remote Sensing. 79: 37 - 49.


Cisneros, R., Schweizer, D., Zhong, S., Hammond, K., Perez, M., Guo, Q., Traina, S., Bytnerowicz, A., Bennett, D. 2012. Analysing the effects of the 2002 McNally fire on air quality in the San Joaquin Valley and southern Sierra Nevada, California. International Journal of Wildland Fire. 21: 1065 - 1075.

Doherty, P., Guo, Q.*, Alvarez, O. 2012. Expert versus machine: A comparison of two suitability models for emergency helicopter landing areas in Yosemite National Park. Professional Geographer. 65(30): 466 - 481.

Fernandez, M., Hamilton, H., Alvarez, O., Guo, Q. 2012. Does adding multi-scale climatic variability improve our capacity to explain niche transferability in invasive species? Ecological Modelling. 246, 60 - 67.

Guo, Q. *, Li, W., Liu, D., Chen, J. 2012. A framework for supervised image classification with incomplete training samples. Photogrammetric Engineering and Remote Sensing. 78: 595 - 604.

Liu, Y., Guo, Q.*, Tian, Y. 2012. A software framework for classification models of geographical data. Computers & Geosciences. 42: 47 - 56.

Li, W., Guo, Q. *, Kelly, M., Jakubowski, M. 2012. A new method for segmenting individual trees from the Lidar point cloud. Photogrammetric Engineering and Remote Sensing. 78: 75 - 84.

Rahilly, P., Li, D., Guo, Q., Zhu, J., Ortega, R., Quinn, N., Harmon, T. 2012. Mapping swamp timothy (Crypsis schoenoides) seed productivity using spectral values and vegetation indices in managed wetlands. International Journal of Remote Sensing. 33(16): 4902 - 4918.

Zhao, F., Sweitzer, R., Guo, Q., Kelly, M. 2012. Characterizing habitats associated with fisher den structures in southern Sierra Nevada forests using discrete return Lidar. Forest Ecology and Management. 280: 112 - 119.

Zhao, F., Guo., Q., Kelly, M. 2012. Allometric equation choice impacts lidar-based forest biomass estimates: A case study from the Sierra National Forest, CA. Agricultural and Forest Meteorology. 165: 64 - 72.

祝锦霞, 郭庆华, 王珂. 2012. 湿地高分辨率遥感影像的变化检测. 中国农业科学, 45(21), 4369-4376.


Doherty, P., Guo., Q.*, Liu, Y., Wieczorek, J., Doke, J. 2011. Georeferencing incidents from locality descriptions and its applications: A case study from Yosemite National Park Search and Rescue. Transactions in GIS. 15(6): 775 - 793.

Li, W., Guo, Q.*, Elkan, C. 2011. Can we model the probability of presence of species without absence data? Ecography. 34: 1096 - 1105.

Guo, Q.*, Li, W., Liu, Y., Tong, D. 2011. Predicting potential distributions of geographic events using one-class data: concepts and methods. International Journal of Geographical Information Science. 25(10): 1697 - 1715.

Li, D., Guo, Q.*, Rahilly, P., Phelps, G., Harmon, T. 2011. Correlation between soil apparent electroconductivity and plant hyperspectral reflectance in a managed wetland. International Journal of Remote Sensing. 32(9): 2563 - 2579.

Zhu, J., Guo, Q.*, Harmon, T. 2011. Reducing mis-registration and shadow effects on change detection in wetlands. Photogrammetric Engineering and Remote Sensing. 77(4): 325 - 334.

Li, W., Guo, Q.*, Elkan, C. 2011. A positive and unlabeled Learning algorithm for one-class classification of remote sensing data. IEEE Transactions on Geoscience and Remote Sensing. 49(2): 717 - 725.

Publication years prior to 2010

Guo, Q.*, Liu, Y. 2010. ModEco: An integrated software package for ecological niche modeling. Ecography. 33: 637 - 642.

Xiao, C., Tian, Y., Shi, W., Guo, Q., Wu, L. 2010. A new method of pseudo absence data generation in landslide susceptibility mapping with a case study of Shenzhen. Science China-Technological Sciences. 54: 75 - 84.

Guo, Q.*, Li, W., Yu, H., Alvarez, O. 2010. Effects of topographic variability and Lidar sampling density on several DEM interpolation methods. Photogrammetric Engineering and Remote Sensing. 76(6): 701 - 712.

Li, W., Guo, Q.* 2010. A maximum entropy approach to one-class classification of remote sensing imagery. International Journal of Remote Sensing. 31(8), 2227 - 2235.

Bales, R., Guo, Q., Shen, D., McConnell, J., Du, G., Burkhart, J., Spikes, V., Hanna, E., Cappelen, J. 2009. Annual accumulation for Greenland updated using ice-core data developed during 2000–2006 and analysis of daily coastal meteorological data. Journal of Geophysical Research – Atmospheres. 114, D06116, DOI: 10.1029/2008JD011208.

Liu, Y., Guo, Q.*, Wieczorek, J., Goodchild, M. 2009. Positioning localities based on spatial assertions. International Journal of Geographical Information Science. 23(11): 1471 - 1501.

Fernandez, M., Blum, S., Reichle, S., Guo, Q.*, Holzman, B., Hamilton, H. 2009. Locality uncertainty and the differential performance of four common niche-based modeling techniques. Biodiversity Informatics. 6: 36 - 52.

Guo, Q.*, Liu, Y., Wieczorek, J. 2008. Georeferencing locality descriptions and computing associated uncertainty using a probabilistic approach. International Journal of Geographic Information Science. 22(10): 1067 - 1090. (One of the top 10 most cited papers in IJGIS in the past 5 years).

Liu, Y., Guo, Q.*, Kelly, M. 2008. A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis. ISPRS Journal of Photogrammetry and Remote Sensing. 63(4): 461 - 475.

Liu, Y., Goodchild, M., Guo, Q.*, Tian, Y., Wu, L. 2008. Towards a general field model and its order in GIS. International Journal of Geographic Information Science. 22(6): 623 - 643.

Liu, D., Kelly, M., Gong, P., Guo, Q. 2007. Characterizing spatial-temporal tree mortality patterns associated with a new forest disease. Forest Ecology and Management. 253(1-3): 220 - 231.

Kelly, M., Guo, Q., Liu, D., Shaari, D. 2007. Modeling the risk of a new invasive forest disease in the United Sates: An evaluation of five environmental niche models. Computer, Environment and Urban System. 31(7): 689 - 710.

Guo, Q., Kelly, M., Gong, P., Liu, D. 2007. An object-based classification approach in mapping tree mortality using high spatial resolution imagery. GIScience & Remote Sensing. 44(1): 24 - 47.

Liu, D., Gong. P, Kelly, M, Guo, Q. 2006. Automatic registration of airborne images by combining area-based methods with local transformation models. Photogrammetric Engineering and Remote Sensing. 72(9): 1049 - 1059.

Kim, J., Guo, Q., Baldocchi, D., Xu, L., Leclerc, M. 2006. Upscaling CO2 fluxes from tower to landscape: Overlaying tower flux footprint calculations on high resolution (IKONOS) vegetation density images. Agricultural and Forest Meteorology. 136: 132 - 146.

Guo, Q., Kelly, M., Graham, C. 2005. Support vector machines for predicting distribution of Sudden Oak Death in California. Ecological Modeling. 182(1): 75 - 90.

Guo, Q., Kelly, M. 2004. Interpretation of scale in paired quadrat variance methods. Journal of Vegetation Science. 15(2): 763 - 770.

Wieczorek, J., Guo, Q., Hijmans, R. 2004. The Point-Radius method for georeferencing locality and calculating associated uncertainty. International Journal of Geographical Information Science. 18(8): 745 - 767 (One of the top 10 most cited papers in IJGIS in the past decade).

Kelly, M., Sharri, D., Guo, Q., Liu, D. 2004. A comparison of standard and hybrid classifier methods for mapping hardwood mortality in areas affected by "sudden oak death". Photogrammetric Engineering and Remote Sensing. 70(11): 1229 - 1239.

Piao, S., Fang, J., Ji, W., Guo, Q., Ke, J., Tao, S. 2004. Variation in a satellite-based vegetation index in relation to climate in China. Journal of Vegetation Science. 15(2): 219 - 226. 

Fang, J., Piao, S., Field, C., Pan, Y., Guo, Q., Zhou, L., Peng, C., Tao, S. 2003. Increasing net primary production in China from 1982 to 1999. Frontiers in Ecology and the Environment. 1(6): 293 - 297.

Piao, S., Fang, J., Zhou, L., Guo, Q., Mark, H., Wei, J., Yan, L., Shu, T. 2003. Interannual variation of monthly and seasonal normalized difference vegetation index (NDVI) in China from 1982 to 1999. Journal of Geophysical Research. 108(D14), 10.1029/2002JD002848.

朴世龙, 方精云, 郭庆华. 2001. 利用CASA模型估算我国植被净第一性生产力. 植物生态学报, 25(5), 603-608+644.

朴世龙, 方精云, 郭庆华. 2001. 1982-1999年我国植被净第一性生产力及其时空变化. 北京大学学报(自然科学版), 37(4), 563-569.

曾辉, 喻红, 郭庆华. 2000. 深圳市龙华地区城镇用地动态模型建设及模拟研究. 生态学报, 20(4), 545-551.

郭庆华, 喻红, 曹艳丽, 张泽浦. 1999. 北方森林草原生态过渡带的遥感研究. 北京大学学报(自然科学版) , 35(4), 550 - 557.

方精云, 郭庆华, 刘国华. 1999. 我国水青冈属植物的地理分布格局及其与地形的关系. 植物学报, 41(7), 766 - 774.

曾辉, 郭庆华, 喻红. 1999. 东莞市风岗镇景观人工改造活动的空间分析. 生态学报, 19(3), 298 - 303.

曾辉, 邵楠, 郭庆华. 1999. 珠江三角洲东部常平地区景观异质性研究. 地理学报, 54(3), 253 - 262 .

曾辉, 唐江, 郭庆华. 1999. 珠江三角洲东部地区常平镇景观组分转移模式及动态变化研究. 地理科学, 19(1), 73 - 77.

曾辉, 郭庆华, 刘晓东. 1998. 景观格局空间分辨率效应的实验研究──以珠江三角洲东部地区为例. 北京大学学报(自然科学版), 34(6), 820 - 826.

曾辉, 唐江, 郭庆华. 1998. 珠江三角洲东部地区小城镇景观动态变化研究──以东莞市常平镇为例. 应用基础与工程科学学报, 6(2), 21-29.

曾辉, 郭庆华, 刘静艳. 1997. 东莞市景观生态演化特征的分析. 中国环境科学, 17(5), 422-425.

Conferences & Honors


      (1)    2015-09-09 International symposium on AP-GEOSS : Biodiversity and Mapping of 3D habitat structure  

      (2)   2014-06-01 Phenomobile: a Lidar-based canopy digitisation platform for cereals in the field


(1)     2014 ERDAS Award for Best Scientific Paper in Remote Sensing

(2)     2013 Talbert Abrams Award

Research Projects

(1)     Initial Fund for “Thousand Talent Program for Young Outstanding Scientists”, PI, Chinese Academic of Science”, 2011-12 - -2014-12

(2)     Effect of Uncertainty on Species Distributions Under Climate Change, PI,  2013-01--2016-12

(3)     Sensitivity of Earth System and Interaction between Carbon Cycle and Climate Change, Participant, 2013-01--2017-12

(4)     The Strategic Program of Molecular Module-Based Designer Breeding Systems, PI, 2013-08--2017-12

(5)     Extracting Forest Structure Parameters and Modeling 3D landscape from T-liDAR, PI, 2015-01--2018-12

(6)     Automatic, High-resolution and High-throughput Plant 3D Image Analysis System, PI, 2015-01--2016-12

(7)     Construction of Reference Data Set for Ecosystem Assessment based on the Data Fusion of Ground Observation and Near Surface Remote Sensing, PI, 2016-07--2020-12​


    Graduate student

    Xiaoqian Zhao

    Yongcai Wang

    Qiuping Zhai

    Fangfang Wu

    Yumei Li

    Shang Gao

    Rui Wang

    Shichao Jin

    Visiting student

    Shengli Tao

    Zurui Ao

    Yue Yu

    Nana Jia

    Hongli Wang

    Post Lab members

    Shuxing Pang

    Linhai Chen