Guo, Q, Su, Y, Hu, T, Liu, J. 2018. LiDAR Principles, Processing and Applications in Forest Ecology. Beijing:Higher Education Press.(In chinese). 郭庆华,苏艳军,胡天宇,刘瑾. 2018. 激光雷达森林生态应用:理论、方法及实例. 北京:高等教育出版社.


Guan, H., Su, Y.*, Hu, T., Wang, R., Ma, Q., Yang, Q., Sun, X., Li, Y., Jin, S., Zhang, J., Ma, Q., Liu, M., Wu, F. Guo, Q.. 2019. A Novel Framework to Automatically Fuse Multi-platform Lidar Data in Forest Environments Based on Tree Locations. IEEE Transactions on Geoscience and Remote Sensing. (Accepted)

Jin, S., Su, Y.* Gao, S., Wu, F., Ma, Q., Xu, K., Ma, Q., Hu, T., Liu, J., Pang, S., Guan, H., Zhang, J., Guo, Q.*. 2019. Separating the structural components of maize for field phenotyping using terrestrial lidar data and deep convolutional neural networks. IEEE Transactions on Geoscience and Remote Sensing.  (Accepted)

Zheng, Z., Ma, Q., Jin, S., Su, Y., Guo, Q., Bales, R.. 2019. Canopy and Terrain Interactions Affecting Snowpack Spatial Patterns in the Sierra Nevada of California. Water Resources Research.  (Accepted)

Wang, D., Wan, B., Liu, J., Su, Y., Guo, Q., Qiu, P., Wu, X.. 2019. Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots, UAV LiDAR data and Sentinel-2 imagery. Int J Appl Earth Obs Geoinformation.  (Accepted)

Xu, K., Su, Y., Liu, J., Hu, T., Jin, S., Ma, Q., Zhai, Q., Wang, R., Zhang, J., Li, Y., Liu, H., Guo, Q.*. 2019. Estimation of degraded grassland aboveground biomass using machine learning methods from terrestrial laser scanning data. Ecological Indicators. (Accepted)

Zhang, J., Sun, Q., Ye, Z. Yang, M., Zhao, X., Ju, Y., Hu, T.,  Guo, Q.*. 2019. New Technology for Ecological Remote Sensing: Light, Small Unmanned Aerial Vehicles (UAV). Tropical Geography. 39(4): 604-615. (In chinese) 张菁, 孙千惠,叶震,杨默含,赵晓霞,巨袁臻,胡天宇,郭庆华*. 2019. 生态遥感新锐——轻小型无人机的应用. 热带地理. 39(4): 604-615. 

Sun, F., Wang, R., Wan B.*, Su, Y., Guo, Q., Huang, Y., Wu, X.. 2019. Exploring the Efficiency of Extreme Gradient Boosting for Imbalanced Land Cover Classification from VHR Images Using an Extended Margin and Disagreement performance. ISPRS International Journal of Geo-Information. (Accepted)

Su, Y., Wu, F., Ao, Z., Jin, S., Qin, F., Liu, B., Pang, S., Liu, L., Guo, Q*. Evaluating maize phenotype dynamics under drought stress using terrestrial lidar. Plant Methods.15:11.

Hu, T., Ma, Q., Su, Y.*, Battles, J., Collins, B., Stephens, S., Kelly, M., Guo, Q. 2019. A simple and integrated approach for fire severity assessment using bi-temporal airborne LiDAR data. International Journal of Applied Earth Observations and Geoinformation.  78:25-38


Ma, K., Zhu, M., Ji, L., Ma, J., Guo., Q.,  Ouyang, Z., Zhu, L.. 2018. Establishing China Infrastructure for Big Biodiversity Data. Bulletin of the Chinese Academy of Sciences.33(8):838-845.(In Chinese).

Guo, Q.*, Yang, W., Wu, F., Pang, S., Jin, S., Chen, F., Wang, X.. 2018. High-throughput Crop Phenotyping: Accelerators for Development of Breeding and Precision Agriculture[J].Bulletin of the Chinese Academy of Sciences. 33(9):940-946.(In Chinese).

Guo, Q.*, Hu, T., Jiang, Y., Jin, S., Wang, R., Guan, H., Yang, Q., Li, Y., Wu, F., Zhai, Q., Liu, J., Su, Y.. 2018. Advances in remote sensing application for biodiversity research. Biodiversity Science. 26(8):789-806.(In Chinese).

Zhou, Z., Liu, R., Shi, S., Su, Y., Li, W., Guo, Q. 2018. Ecological niche modeling with LiDAR data: A case study of modeling the distribution of fisher in the southern Sierra Nevada Mountains, California. Biodiversity Science. 26(8):878-891. (In Chinese).

Li, A., Yin, G., Zhang, Z., Tan, J., Nan, X., Ma, K., Guo, Q. 2018. Space-air-field integrated biodiversity monitoring based on experimental station. Biodiversity Science. 26(8): 819-827. (In Chinese).

Ma, Q., Su, Y.*, Luo, L., Li, L, Kelly, M., Guo, Q. 2018. Evaluating the uncertainty of Landsat-derived vegetation indices in quantifying forest fuel treatments using bi-temporal LiDAR data. Ecological Indicators. (accepted)

Jin, S.#, Su, Y.#, Gao, S., Hu, T., Liu, J., Guo, Q*. 2018. The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data. Remote Sensing, 10(8): 1183-1203.

Jin, S., Su, Y., Wu, F., Pang, S., Gao, S., Hu, T., Liu, J., Guo, Q*. 2018. Stem-leaf segmentation and phenotypic trait extraction of individual maize using terrestrial LiDAR data. IEEE Transactions on Geoscience and Remote Sensing. 57(3): 1336-1346.

Jin, S., Su, Y.*, Gao, S., Wu, F., Hu, T., Liu, J., Li, W., Wang, D., Chen, S., Jiang, Y., Pang, S., Guo, Q*. 2018. Deep Learning: Individual maize segmentation from terrestrial Lidar data using Faster R-CNN and regional growth algorithms. Frontiers in Plant Science, 9:866-875.

Li, Y., Su, Y.*, Hu, T., Xu, G, Guo, Q*. 2018. Retrieving two-dimensional leaf angle distributions from a terrestrial laser scanner data. IEEE Transactions on Geoscience and Remote Sensing,. 56(8): 4945-4955

Zhao, X., Su, Y.,  Li, W., Hu, T., Liu, J., Guo, Q*. 2018.A comparison of LiDAR filtering algorithms in vegetated mountain areas. Canadian Journal of Remote Sensing. (Published online, DOI: 10.1080/07038992.2018.1481738)

Luo, L., Zhai, Q., Su, Y.*, Ma, Q., Kelly, M., Guo., Q*. 2018. A simple method for direct crown base height estimation of individual conifer trees using airborne LiDAR data. Optics Express. 26(10): A562-A578.

Wang, D., Wan, B.,  Qiu, P., Su, Y., Guo, Q., Wu, X. 2018. Artificial mangrove species mapping using Pléiades-1: An evaluation of pixel-based and object-based classifications with selected machine learning algorithms. Remote Sensing. 10(2):1-22.

Wang, D., Wan, B., Qiu, P., Su, Y., Guo, Q., Wang, R., Sun, F., Wu, X. 2018. Evaluating the Performance of Sentinel-2, Landsat 8 and Pleiades-1 in Mapping Mangrove Extent and Species. Remote Sensing. 10(9): 1468.

Li, W., Guo, Q., Tao, S., Su, Y. 2018. VBRT: a novel voxel-based radiative transfer model for heterogeneous three-dimensional forest scenes. Remote Sensing of Environment. 206(1): 318-335.

Liu, R., Li, W., Liu, X., Lu, X., Li, T., Guo, Q. 2018. An ensemble of classifiers based on positive and unlabeled data in
one-class remote sensing classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(2): 572-584.

Deng, X., Li, W., Liu, X., Guo, Q. 2018. Newsam, S., One-class remote sensing classification: one-class vs. binary classifiers. International Journal of Remote Sensing. 39(6): 1890-1910.

Zhao, X.#, Su, Y.#, Hu, T., Chen, L., Gao, S., Wang, R., Jin, S., Guo, Q.*, 2018. A global corrected SRTM DEM product over vegetated areas. Remote Sensing Letters. 9(4): 393-402.

Guo, Q.*, Wu, F., Pang, S., Zhao, X., Chen, L., Liu, J., Xue, B., Xu, G., Li, L., Jing, H., and Chu, C. 2018. Crop 3D—a LiDAR based platform for 3D high-throughput crop phenotyping. Science China Life Sciences. 61(3): 328-339.


Su, Y., Bales, R., Ma, Q., Nydick, K., Ray, R., Li, W., Guo, Q.*, 2017. Emerging stress and relative resiliency of Giant Sequoia
groves experiencing multi-year dry periods in a warming climate, Journal of Geophysical Research: Biogeosciences, 122(11): 3063-3075.

Kelly, M., Su, Y., Tommaso, S., Collins, B., Fry, D., Sephens, S., Guo, Q. 2017. Impact of error in Lidar-derived canopy height and canopy base height on modeled wildfire behavior. Remote Sensing. 10(1): 1-18.

Ao, Z., Su Y., Li, W., Guo, Q.*, Zhang, J. 2017. One-Class classification of airborne LiDAR data in urban areas using a resence and background learning algorithm. Remote Sensing. 9(10): 1-15.

Li, Y., Guo, Q.*, Su, Y., Tao, S., Zhao K., Xu, G. 2017. 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.130(8): 308-316.

Wang, R., Wan, B., Guo, Q., 2017. Hu, M., Zhou, S., Mapping regional urban extent using NPP-VIIRS DNB and MODIS NDVI data. Remot Sensing. 9(8): 1-25.

Ma, Q., Su, Y.,  Tao, S., Guo, Q.*, 2017. 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. DOI: 1(1): 1-19.

Ma, Q., Su, Y., Guo, Q*. 2017. Comparison of canopy cover estimations from airbornelidar, aerial imagery, and satellite imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(9): 4225-4326.

Zhu, J., Su, Y., Guo, Q.*, Harmon, T.,2017. Unsupervised object-based differencing for land-cover change detection. Photogrammetric Engineering and Remote Sensing. 83(3): 225-236.

Xue, B., Guo, Q.*, Hu, T., Xiao, J., Yang, Y., Wang, G., Tao, S., Su, Y., Liu, J. and Zhao, X. 2017. 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(7):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.

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.

Guo, Q.*, Wu, F., Hu, T., Chen, L., Liu, J., Zhao, X., Gao, S., Pang, S. 2016. Perspectives and prospects of unmanned aerial vehicle in remote sensing monitoring of biodiversity. Biodiversity Science. 24(11):1267-1278. (in Chinese).

Guo, Q.*, Liu, J., Li, Y., Zhai, Q., Wang, Y., Wu, F., Hu, T., Wan, H., Liu, H., Shen, W. 2016. A near-surface remote sensing platform for biodiversity monitoring: perspectives and prospects. Biodiversity Science. 24(11): 1249-1266. (in Chinese).

Guo, Q.*, Wu, F., Pang, S., Zhao, X., Liu, J., Xue, B., Xu, G., Li, L., Jing, H., Chu, C. 2016. Crop 3D: a platform based on LiDAR for 3D high-throughput crop phenotyping. Sci Sin Vitae. 46(10): 1210–1221. (in Chinese).

Tao, S., Guo, Q.,Li, C., Wang, Z., Fang, J. 2016. Global patterns and determinants of forest canopy height. Ecology.  97(12):3265-3270.

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. 9(5): 520-530.

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(4), 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): 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): 1-27.

Su, Y., Guo, Q., Xue, B., Hu, T., 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(7): 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(12): 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(9): 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(4): 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(7): 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(1): 99 – 110.

Guo, Q.*, Liu, J., Tao, S., Xue, B., Li, L., Xu, G., Li, W., Wu, F., Li, Y., Chen, L., Pang, S. 2014. Perspectives and prospects of LiDAR in forest ecosystem monitoring and modeling. Chinese Science Bulletin (Chin Ver). 59(6): 459 – 478 (in Chinese).

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(8): 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(1): 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(12): 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): 1-14.

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(9): 4163 – 4186.

Li, W., Guo, Q. * 2013. How to assess the prediction accuracy of species presence-absence models without absence data? Ecography. 36(7): 788 – 799.

Jakubowski, M., Guo, Q., Kelly, M. 2013. Tradeoffs between Lidar pulse density and forest measurement accuracy. Remote Sensing of Environment. 130(3): 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(1): 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(8): 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(1747), 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(6): 595 – 604.

Liu, Y., Guo, Q., Tian, Y. 2012. A software framework for classification models of geographical data. Computers & Geosciences. 42(3): 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(1): 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(9): 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(6): 64 – 72.

Zhu, J., Guo, Q., Wang, K. 2012. Change Detection on Wetlands Using High Spatial Resolution Imagery. Scientia Agricultura Sinica. 45(21), 4369-4376. (In Chinese).


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(6): 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

de la Pe˜na, S., Nienow, P., Shepherd, A., Helm, V., Mair, D., Hanna, E., Huybrechts, P., Guo, Q. Spatially extensive estimates of annual accumulation in the dry snow zone of the Greenland Ice Sheet determined from radar altimetry. Cryosphere. 4(4): 467-474.

Guo, Q.*, Liu, Y. 2010. ModEco: An integrated software package for ecological niche modeling. Ecography. 33(4): 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. 53(3): 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(3): 1-148.

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 airborn images by combining area-based methods with local transformation models. Photogrammetric Engineeering 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(2006): 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), 4401.

Piao, S., Fang, J., Guo, Q. 2001. Application of CASA model to the estimation of Chinese terrestrial Net Primary Productivity. Acta Phytoecologica Sinica. 25(05): 603–609 (in Chinese).

Piao, S., Fang, J., Guo, Q. 2001. Terrestrial net primary production and its spatio-temporal patterns in China during 1982–1999. Acta Scientiarum Naturalium Universitatis Pekinensis. 37(04): 536–569 (in Chinese).

Zeng, H. Yu, H., Guo, Q. 2000. Dynamic model construction and simulation study of town landuse for Longhua area, Shenzhen City. Acta Ecologica Sinica. 20(04): 545–551 (in Chinese).

Guo, Q., Yu, H., Cao, Y., Zhang, Z. 1999. The remote sensing study on the characteristics of Forest-Steppe Ecotone. Univesitatis Pekinensis. 35(04): 122-129 (in Chinese).

Fang, J. Guo, Q., Liu, G. 1999. Distribution pattern of Chinese Beech (Fagus L.) species in relation to topology. Acta Botanica Sinica. 41(03): 766–774 (in Chinese).

Zeng, H., Guo, Q., Yu, H. 1999. Spatial analysis of landscape human transforming in Fenggang Town, Dongguan City. Acta Ecological Sinica. 19(03): 298–303 (in Chinese).

Zeng, H., Shao, N., Guo, Q. 1999. A Study of landscape heterogeneity for the Changping area in the Eastern Pearl River Delta. Acta Geographica Sinica. 54(03): 255–262 (in Chinese).

Zeng, H., Tang, J., Guo, Q. 1999. A landscape study of element transferring pattern and changing stage of Changping Town in eastern part of Zhujiang Delta area. Scientia Geographica Sinica. 19(01), 73–77 (in Chinese).

Zeng, H., Guo, Q., Liu, X. 1998. Experimental research of spatial resolution effects for landscape pattern –a case study of eastern part in Zhujiang Delta. Univesitatis Pekinensis. 34(06): 820–826 (in Chinese).

Zeng, H., Tang, J., Guo, Q. 1998. Landscape changing research of small town in the Eastern Part of Zhujiang Delta area – a case study of Changping Town, Dongguan City. Journal of Basic Science and Engineer. 6(02): 125–133 (in Chinese).

Zeng, H., Guo, Q., Liu, J. 1997. Analysis of landscape ecological-changing characteristics of Dongguan City. China Environmental Sciences. 17(05): 422–425 (in Chinese).