教育背景：

　　2002.04-2005.11　 法国路易斯-巴斯德（Louis Pasteur）大学  博士学位（激光雷达遥感）,导师 Massimo Menenti. 教授

　　1998.09-2001.07　 南京师范大学地理科学学院                理学硕士学位（遥感与GIS），

　　1994.09-1998.07　 河海大学测量工程系                      工学学士学位（工程测量）

　　科研工作经历：

　　2009.10-现在 　  中科院遥感与数字地球研究所                   研究员，博士生导师

　　2007.05-2009.09   美国爱达荷州立大学（Idaho State University）助理研究员

　　2006.09-2007.04   中科院光电研究院                            助理研究员

　　2005.11-2006.08　 法国路易斯-巴斯德（Louis Pasteur）大学      博士后（激光雷达遥感）

　　研究生培养：

　　在读博士生4名，硕士生5名（含联合培养）

　　已毕业博士3名、硕士22名（含联合培养）

激光雷达遥感

　　[1]高分专项项目：“GF-7卫星建筑模型构建及真正射影像生成技术”， 2018/01-2019.12，负责人

　　[2]国家自然科学基金面上项目：“基于光子计数激光雷达数据的森林生物量反演研究”（41671434），负责人，2017.1-2020.12

　　[3]国家自然科学基金面上项目：“基于机载激光雷达和高光谱影像的森林LAI自动提取研究”（41171279），负责人，2012.1-2015.12

　　[4]科技部国家重大科学仪器设备开发专项项目——机载双频激光雷达产品开发和应用（2013YQ120343），负责课题“基于机载双频激光雷达的地理信息应用软件开发”，2014.01-2017.09.

　　[5]“激光雷达植被结构参数反演”，负责人，2010.1-2013.12.

　　[6]国家973项目，“青藏高原气候系统变化及其对东亚区域的影响与机制研究”，专题“航空遥感试验及激光雷达地表参数反演”，负责人，2010.6-2015.6.

　　[7]中科院国际合作重点项目，吴哥遗产地环境遥感（241311KYSB20130001），负责人，2014.01-2016.12.

　　[8]国家电网公司项目：机载激光扫描机上实时处理技术研究，负责人，2019.3-2020.12

　　[9]国家电网公司项目：机载激光雷达电力巡线软件系统研制，负责人，2014.06-2016.03.

　　[10]贵州电网公司项目：三维激光项目技术服务，负责人，2017.7-2017.11

　　[11]国家卫星气象中心项目：FY-3极区冰雪监测应用示范，负责人，2017.6-2018.6

[1] 王成等主编. 星载激光雷达数据处理与应用[M]. 北京：科学出版社，2015.

[2] 郭华东等主编. 全球变化科学卫星[M]. 北京：科学出版社，2014. （负责星载激光雷达部分）.代表性论文（第一/通讯作者）：

[1]Wang Cheng, Nie Sheng*, Xi Xiaohuan, Luo Shezhou. Estimating the biomass of maize with hyperspectral and LiDAR data[J]. Remote Sensing, 2017, 9, 11, doi:10.3390/rs9010011.  SCI

[2]Cheng Wang, Fuxin Tang, Liwei Li, Guicai Li, Feng Cheng, Xiaohuan Xi.. Wavelet Analysis for ICESat/GLAS Waveform Decomposition and Its Application in Average Tree Height Estimation, IEEE Geoscience and Remote Sensing Letters, 2013, 10 (1), 115-119.  SCI

[3]Xuebo Yang, Cheng Wang, Feifei Pan, Xiaohuan Xi, Sheng Nie, Shezhou Luo. Retrieving leaf area index in discontinuous forest using ICESat/GLAS full-waveform data based on gap fraction model[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 148, 54-62. SCI

[4]Nie Sheng, Wang Cheng, Xi Xiaohuan, Luo Shezhou, Li Guoyuan, Cheng Feng. A Continuous Wavelet Transform Based Method for Ground Elevation Estimation Over Mountainous Vegetated Areas Using Satellite Laser Altimetry[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(8): 2945-2956. DOI: 10.1109/JSTARS.2018.2843167.

[5]Sheng Nie, Cheng Wang*, Xiaohuan Xi, Shezhou Luo, Guoyuan Li, Jinyan Tian, and Hongtao Wang. Estimating the vegetation canopy height using micro-pulse photon-counting LiDAR data[J]. Optics Express, 2018, 26(10): A520.  SCI

[6]Qin Haiming, Wang Cheng*, Xi Xiaohuan, Nie Sheng, Zhou Guoqing. Integration of airborne LiDAR and hyperspectral data for maize FPAR estimation based on a physical model[J]. IEEE Geoscience and Remote Sensing, 2018, 10.1109/LGRS.2018.2825878.   SCI

[7]Yang Xuebo, Wang Cheng, Nie Sheng, Xi Xiaohuan, Hu Zhenyue, Qin Haiming. Application and Validation of a Model for Terrain Slope Estimation Using Space-Borne LiDAR Waveform Data[J]. Remote Sensing, 2018, 10, 1691, doi:10.3390/rs10111691.  SCI

[8]Nie Sheng, Wang Cheng*, Xi Xiaohuan, Li Guoyuan, Luo Shezhou, Yang Xuebo, Wang Pu, Zhu Xiaoxiao.  Exploring the influence of various factors on slope estimation using large-footprint LiDAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018，56(11): 6611-6621.  SCI

[9]Haiming Qin, Cheng Wang, Kaiguang Zhao, Xiaohuan Xi. Estimation of the fraction of absorbed photosynthetically active radiation (fPAR) in maize canopies using LiDAR data and hyperspectral imagery[J]. PLOS ONE, 2018  https://doi.org/10.1371/journal.pone.0197510.  SCI

[10] Zhu Xiaoxiao, Wang Cheng, Nie Sheng, Xi Xiaohuan, Hu Zhenyue. A Ground Elevation and Vegetation Height Retrieval Algorithm Using Micro-Pulse Photon-Counting Lidar Data[J]. Remote Sensing, 2018, 10, 1962; doi:10.3390/rs10121962.  SCI

[11] Shezhou Luo, Jing M Chen, Cheng Wang*, Alemu Gonsamo, Xiaohuan Xi, Yi Lin, Mingjie Qian, Dailiang Peng, Sheng Nie, and Haiming Qin. Comparative Performances of Airborne LiDAR Height and Intensity Data for Leaf Area Index Estimation[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(1): 300-310. DOI: 10.1109/JSTARS.2017.2765890   SCI

[12] Nie Sheng, Wang Cheng*, Xi Xiaohuan, Luo Shezhou, Li Shihua, Tian Jianlin. Estimating the height of wetland vegetation using airborne discrete-return LiDAR data[J]. Optik - International Journal for Light and Electron Optics, 2018, 154:267-274  SCI

[13] Shezhou Luo, Jing M Chen, Cheng Wang*, Alemu Gonsamo, Xiaohuan Xi, Yi Lin, Mingjie Qian, Dailiang Peng, Sheng Nie, and Haiming Qin. Comparative Performances of Airborne LiDAR Height and Intensity Data for Leaf Area Index Estimation[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017: 1-11, DOI: 10.1109/JSTARS.2017.2765890.  SCI

[14] Nie Sheng, Wang Cheng*, Xi Xiaohuan. A novel model for terrain slope estimation using ICESat/GLAS waveform data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, PP(99):1-11    SCI

[15] Qin Haiming, Wang Cheng*, Xi Xiaohuan, Tian Jianlin, Zhou Guoqing. Estimation of coniferous forest aboveground biomass with airborne small-footprint full-waveform LiDAR data[J]. Optics Express, 2017, 25(16): A851-A869.

[16] Qin Haiming, Wang Cheng*, Xi Xiaohuan, Tian Jianlin, Zhou Guoqing. Simulating the Effects of the Airborne Lidar Scanning Angle, Flying Altitude, and Pulse Density for Forest Foliage Profile Retrieval[J]. Applied Sciences, 2017, 7, 712: 1-18; doi:10.3390/app7070712.

[17] Qin Haiming, Wang Cheng*, Pan Feifei, Lin Yi, Xi Xiaohuan, Luo Shezhou. Estimation of FPAR and FPAR profile for maize canopies using airborne LiDAR[J]. Ecological Indicators, 2017, 83:53-61.

[18] Luo Shezhou, Wang Cheng*, Xi Xiaohuan, Pan Feifei, Qian Mingjie, Peng Dailiang, Nie Sheng, Qin Haiming, Lin Yi. Retrieving aboveground biomass of wetland Phragmites australis(common reed) using a combination of airborne discrete-return LiDAR and hyperspectral data[J]. International Journal of Applied Earth Observation and Geoinformation, 2017, 58: 107-117.

[19] Nie Sheng, Wang Cheng*, Zeng Hongcheng, Xi Xiaohuan, Li Guicai.  Above-ground biomass estimation using airborne discrete-return and full-waveform LiDAR data in a coniferous forest [J]. Ecological Indicators, 2017, 78: 221-228. DOI: 10.1016/j.ecolind.2017.02.045.

[20] Nie Sheng, Wang Cheng*, Dong Pinliang, Xi Xiaohuan, Luo Shezhou, Qin Haiming.  A revised progressive TIN densification for filtering airborne LiDAR data[J]. Measurement, 2017, 104: 70-77. DOI:10.1016/j.measurement.2017.03.007.

[21] Luo Shezhou, Wang Cheng*, Xi Xiaohuan, Pan Feifei, Peng Dailiang, Zou Jie, Nie Sheng, Qin Haiming. Fusion of airborne LiDAR data and hyperspectral imagery for aboveground and belowground forest biomass estimation [J]. Ecological Indicators, 2017, 73: 378-387.

[22] 杨学博, 王成*, 习晓环, 田建林, 聂胜, 朱笑笑. 大光斑LiDAR全波形数据小波变换的高斯递进分解(Wavelet transform of Gaussian progressive decomposition method for full-waveform LiDAR data) [J]. 红外与毫米波学报( Journal of Infrared and Millimeter Waves), 2017, 36(6): 731-737.  SCI

[23] Luo Shezhou, Wang Cheng*, Chen Jingming, Xi Xiaohuan, Zeng Hongcheng, Peng Dailiang, Li Dong. Effects of LiDAR point density, sampling size and height threshold on estimation accuracy of crop biophysical parameters[J]. Optics Express, 2016, 24(11): 1-16.  DOI:10.1364/OE.24.011578.

[24] Nie Sheng, Wang Cheng*, Dong Pinliang, Xi Xiaohuan, Luo Shezhou. Estimating Leaf Area Index of maize using airborne discrete-return LiDAR data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(0): DOI: 10.1109/JSTARS.2016.2554619.

[25] Sheng Nie, Cheng Wang*, Pinliang Dong, Xiaohuan XI. Estimating Leaf Area Index of maize using airborne full-waveform LiDAR data[J]. Remote Sensing Letters, 2016, 7(2): 111-120.

[26] Xi Xiaohuan, Han Tingting, Wang Cheng*, Shezhou Luo, Shaobo Xia and Feifei Pan. Forest above ground biomass inversion by fusing GLAS with optical remote sensing data[J]. ISPRS International Journal of Geo-Information, 2016, 5, 45: 1-12. doi:10.3390/ijgi5040045.

[27] Shaobo Xia, Cheng Wang*, Feifei Pan, Xiaohuan Xi , Hongcheng Zeng , He Liu. Detecting stems in dense and homogeneous forest using single-scan TLS. Forest, 2015, 6, 3923-3945. doi:10.3390/f6103923   SCI

[28] Nie Sheng, Wang Cheng*, Zeng Hongcheng, Xi Xiaohuan, Shaobo Xia. A revised terrain correction method for forest canopy height estimation using ICESat/GLAS data[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 108:183-190. SCI

[29] Yong Xiao, Cheng Wang*, Jing Li, Wuming Zhang, Xiaohuan Xi, Changlin Wang & Pinliang Dong (2014): Building segmentation and modeling from airborne LiDAR data, International, Journal of Digital Earth, 2015, 8(9): 694-709. DOI: 10.1080/17538947.2014.914252.  SCI

[30] 骆社周，王 成*，习晓环, 聂胜, 夏少波, 万怡平. 星载激光雷达GLAS与TM光学遥感联合反演森林叶面积指数（Forest leaf area index estimation using combined ICESat/GLAS and optical remote sensing image）, 红外与毫米波学报（JOURNAL OF INFRARED AND MILLIMETER WAVES）, 2015, 34(2): 243-249.  SCI

[31] Yang Ting, Wang Cheng*, Li Guicai, Luo Shezhou, Xi Xiaohuan, Gao Shuai, Zeng Hongcheng. Forest canopy height mapping over China Using GLAS and MODIS data. Science China, Earth Sciences, 2014, 57(1): 1-11.(数据库中58(1),pp: 96-105)

[32] Luo Shezhou, Wang Cheng*, Pan Feifei, Xi XIaohua, LI Guicai, Nie Sheng, Xia Shaobo. Estimation of wetland vegetation height and leaf area index using airborne laser scanning data. Ecological Indicators, 2014, 48: 550-559.

[33] Luo Shezhou, Wang Cheng*, Xi Xiaohuan, Pan Feifei. Estimating FPAR of maize canopy using airborne discrete-return LiDAR data, Optics Express, 2014, 22(5): 5106-5117.

[34] Nie Sheng, Wang Cheng*, Li Gguicai, Pan Feifei, Xi Xiaohuan, Luo Shezhou. Signal-to-noise ratio-based quality assessment method for ICESat/GLAS waveform data, Optical Engineering, 2014, 53(10), 103104, DOI: 10.1117/1.OE.53.10.103104.

[35] Shezhou Luo, Cheng Wang* , Guicai Li, Xi Xiaohuan. Retrieving leaf area index using ICESat/ GLAS full-waveform data Using ICESat GLAS full-waveform data, Remote Sensing Letters, 2013, 4(8): 745-753.

[36] Luo Shezhou, Wang Cheng*, Zhang Guibin, Xi Xiaohuan, Li Guicai. Forest leaf area index(LAI) estimation using airborne discrete-return LiDAR data. Chinese Journal of Geophysics, 2013, 56(3): 233-242.

[37] 骆社周，王 成*，张贵宾，习晓环，李贵才. 机载激光雷达森林叶面积指数反演研究(Forest leaf area index (LAI) inversion using airborne LiDAR data).地球物理学报(CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION), 2013, 56(5): 1467-1475.

[38] Feng Cheng, Cheng Wang *, Jinliang Wang, Fuxin Tang, Xiaohuan Xi et al. Trend analysis of building height and total floor space in Beijing, China using ICESat/GLAS data International Journal of Remote sensing. 2011, 32(23), 8823-8835.

[39] Cheng Wang, Nancy F Glenn(2009). Estimation of fire severity using pre- and post-fire LiDAR data in sagebrush steppe rangelands. International Journal of Wildland Fire, 18(8), 848-856.

[40] Cheng Wang, Massimo Menenti, Marc-Philippe Stoll, Alessandra Feola, Enrica Belluco and Marco Marani (2009). Separation of ground and low vegetation signatures in LiDAR measurements of salt-marsh environments. IEEE Transactions on Geosciences and Remote Sensing, 47(7), 2014-2023.

[41] Cheng Wang, Nancy F Glenn (2009). Integrating LiDAR intensity and elevation data for terrain characterization in a forested area. IEEE Geosciences and Remote Sensing Letters, 6(3), 463-466.

[42] Cheng Wang, Nancy F Glenn(2008). A linear regression method for tree canopy height estimation using airborne LiDAR data. Canadian Journal of Remote Sensing. 34, S217-S227.

[43] Cheng Wang, Massimo Menenti, Marc-Philippe Stoll, Enrica Belluco, Marco Marani. Mapping mixed vegetation communities in salt marshes using airborne spectral data. Remote Sensing of Environment. 2007, 107, 559-570.

注：其他相关文章和上述论文全文均可在激光雷达课题组网站下载：http://lidar.radi.ac.cn

专利：申请12项，已授权2项

[1]一种星载激光雷达树高提取方法，专利号：ZL 201610378509.9, 授权2019.3，王成，聂胜，习晓环

[2]基于小波分析的星载激光雷达数据分解方法（专利号：ZL 201010170853.1, 授权：2012.12.24），王成，唐福鑫，李利伟

[3]基于LiDAR点云的电力线快速分层提取方法，201811634884.0, 申请日期：2018.12.29

[4]一种基于机载LiDAR点云数据的杆塔倾斜预警方法，201811638225.4，申请日期：2018.12.29.

[5]基于格网划分的电力杆塔位置提取方法，201811634888.9，申请日期：2018.12.29

[6]一种波形信息辅助下的渐进加密三角网LiDAR点云滤波方法，201811638223.5，申请日期：2018.12.29

[7]一种基于机载LiDAR点云数据的杆塔自动化建模方法，201811634889.3，申请日期：2018.12.29

[8]基于城市矢量数据的房屋简单三维模型构建方法， 201811638696.5，申请日期：2018.12.29.

[9]基于杆塔特征点的电力巡线LiDAR数据自动化配准方法，201811634812.6，申请日期：2018.12.29

[10]基于LiDAR点云特征的电力走廊场景分类方法，201811634829.1，申请日期：2018.12.29

[11]一种基于混合高斯模型的光子点云去噪方法，201811634841.2，申请日期：2018.12.29

[12]基于地表模型的星载激光雷达脚点精确定位方法，201811634839.5，申请日期：2018.12.29

软件著作权：21项

[1]输电线路机载激光雷达点云数据预处理软件系统V2.0，登记日期：2016.5.24，登记号：2016SR116350.

[2]基于机载激光雷达数据的建筑物建模软件系统V1.0，登记日期：2015. 11.27，登记号：2015SR235741.

[3]点云数据快速重建建筑三维模型软件系统 V3.0，登记日期：2015.3.10, 登记号: 2015SR042199.

[4]地面激光点云数据处理与模型重建软件系统 V2.0，登记日期: 2015.5.19, 登记号: 2015SR085398.

[5]星载激光雷达数据处理软件系统 V 2.0, 登记日期: 2015.1.5，登记号：2015SR124008.

[6]机载激光雷达提取输电线路电塔软件系统V1.0，完成日期：2016.12.10，登记日期：2017.7.24，登记号：2017SR392299.

[7]机载激光雷达建筑物模型构建系统V1.0，完成日期：2017.9.1，登记日期：2018.2.23，登记号：2018SR118964.

[8]车载激光雷达道路信息自动提取软件系统V1.0，完成日期：2017.11.10，登记日期：2018.2.13，登记号：2018SR112065

[9]三维激光扫描数据体素分割软件系统V1.0，完成日期：2018.3.20，登记日期：2018.8.2，登记号：2018SR611049.

[10] 机载激光雷达系统检校软件系统V1.0，完成日期：2018.3.20，登记日期：2018.10.22，登记号：2018SR838895.

[11] 机载激光点云电力线三维数字重建软件系统 V1.0，完成日期：2018.9.25，登记日期：2018.11.27，登记号：2018SR948148.

[12] 基于激光点云数据的输电线路危险点检测系统 V1.0，完成日期：2018.9.1，登记日期：2018.11.22，登记号：2018SR934264.

[13] 基于点云和矢量数据的建筑物模型构建软件系统V1.0，完成日期：2018.6.20，登记日期：2018.11.21，登记号：2018SR932731.

[14] 点云数据滤波算法web可视化系统V1.0, 完成日期：2018.9.2，登记日期：2018.11.22，登记号：2018SR935401.

[15] 基于杆塔的激光点云数据自动配准软件系统V1.0，完成日期：2018.9.7，登记日期：2018.11.22，登记号：2018SR935396.

[16] 输电线路走廊激光点云去噪软件系统V1.0，完成日期：2018.3.15，登记日期：2018.11.22，登记号：2018SR935392.

[17] 点云形状拟合软件系V1.0，完成日期：2018.3.20，登记日期：2018.11.22，登记号：2018SR935623.

[18] 输电线路倾斜杆塔预警软件系统V1.0，完成日期：2017.11.15，登记日期：2018.11.22，登记号：2018SR934046.

[19] 基于DSM数据的激光雷达波形模拟软件系统V1.0，完成日期：2018.8.31，登记日期：2018.11.22，登记号：2018SR934089.

[20] 三维激光点云电力线提取软件系统V1.0，完成日期：2018.9.25，登记日期：2018.11.22，登记号：2018SR935397.

[21] 激光点云数据格式处理软件系统V1.0, 完成日期：2018.9.25，登记日期：2018.11.28，登记号：2018SR951072.