激光雷达遥感

 

 

2012. 09 – 2017. 06    中国科学院大学    地图学与地理信息系统     理学博士
2008. 09 – 2012. 06    武汉大学     测绘工程      工学学士

 

 

2020. 12 – 今        中国科学院空天信息创新研究院      副研究员
2020. 03 – 2020. 11    中国科学院空天信息创新研究院      助理研究员
2017. 07 – 2020. 02    中国科学院遥感与数字地球研究所    助理研究员

 

 

2021.12-2024.11      国家重点研发计划（青年科学家）“多平台多模态点云大数据智能处理技术与软件”       项目负责人

2022.01-2025.12      国家自然科学基金面上项目“面向山地林区的星载全波形LiDAR森林参数反演研究”        项目负责人

2020.01-2022.12      国家自然科学基金青年项目“星载光子计数激光雷达森林叶面积指数反演方法研究”       项目负责人

2019.01-2022.12      中国科学院青年创新促进会项目    项目负责人 

2019.07-2021.12      航天五院501所委托项目“基于激光全波形采样数据的指向确定研究”  项目负责人

2019.07-2021.06      国网经研院委托项目“激光雷达数据处理与算法精度验证”          项目负责人

2020.09-2021.12      自然资源部国土卫星遥感应用中心委托项目“基于波形与测距的激光数据质量稳定性分析”        项目负责人

 

 

2022       中国科学院特聘骨干人才

2020       中国激光雷达青年科技奖

2019       中国科学院青年创新促进会会员

2018       测绘科技进步二等奖     排名第6

2019       河南省科学技术进步二等奖     排名第6

2018       中科学院遥感与数字地球所青年创新促进会

2017       中国科学院院长优秀奖

2017       北京市优秀毕业生

 

 

[1]Zhu Xiaoxiao, Nie Sheng*, Wang Cheng, et al. Consistency analysis of forest height retrievals between GEDI and ICESat-2[J]. Remote Sensing of Environment, 2022, 281: 113244.

[2]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.

[3]Nie Sheng, Wang Cheng, Dong Pinliang, et al. A Novel Model for Terrain Slope Estimation Using ICESat/GLAS Waveform Data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(1): 217-227.

[4]Nie Sheng, Wang Cheng, Xi Xiaohuan, et al. Assessing the Impacts of Various Factors on Treetop Detection Using LiDAR-Derived Canopy Height Models[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(12):10099-10115.

[5]Nie Sheng, Wang Cheng, Xi Xiaohuan, et al. 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. 

[6]Qin Shize+, Nie Sheng+, Guan Y, et al. Forest emissions reduction assessment using airborne LiDAR for biomass estimation[J]. Resources, Conservation and Recycling, 2022, 181: 106224.

[7]Wang Zijia, Nie Sheng*, Xi Xiaohuan, et al. A methodological framework for specular return removal from photon-counting LiDAR data [J]. International Journal of Applied Earth Observation and Geoinformation, 2023, 122: 103387.

[8]Nie Sheng, Wang Cheng, Xi Xiaohuan, et al. Estimating the vegetation canopy height using micro-pulse photon-counting LiDAR data [J]. Optics Express, 2018, 26(10): A520-A540.

[9]Nie Sheng, Wang Cheng, Xi Xiaohuan, et al. 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.

[10]Nie Sheng, Wang Cheng, Zeng Hongcheng, et al. Above-ground biomass estimation using airborne discrete-return and full-waveform LiDAR data in a coniferous forest[J]. Ecological Indicators, 2017, 78(7):221-228.

[11]Nie Sheng, Wang Cheng, Dong Pinliang, et al. A revised progressive TIN densification for filtering airborne LiDAR data [J]. Measurement, 2017, 104: 70-77.

[12]Nie Sheng, Wang Cheng, Dong Pinliang, et al. Estimating Leaf Area Index of Maize Using Airborne Discrete-Return LiDAR Data [J]. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, 2016, 9(7):3259-3266. 

[13]Nie Sheng, Wang Cheng, Xi Xiaohuan, et al. Estimating the height of wetland vegetation using airborne discrete-return LiDAR data[J]. Optik, 2017, 154:267-274.

[14]Nie Sheng, Wang Cheng, Dong Pinliang, et al. Estimating leaf area index of maize using airborne full-waveform lidar data [J]. Remote Sens Lett, 2016, 7(2):111-120.

[15]Nie Sheng, Wang C*, Li G, Pan F, Xi X H, Luo S Z. Signal to noise ratio (SNR)-based quality assessment method for ICESat/GLAS waveform data[J]. Optical Engineering , 2014, 53(10), 103104. DOI: 10.1117/1.OE.53.10.103104.

[16]Wang Cheng, Nie Sheng *, Xi Xiaohuan, et al. Estimating the Biomass of Maize with Hyperspectral and LiDAR Data [J]. Remote Sens, 2017, 9(11):1-12.

[17]Zhu Xiaoxiao, Nie Sheng *, Wang Cheng, et al. A Noise Removal Algorithm Based on OPTICS for Photon-Counting LiDAR Data [J]. IEEE Geoscience and Remote Sensing Letters, 2020. 

[18]Yu Jianan, Nie Sheng*, Wenjie Liu. Accuracy Assessment of ICESat-2 Ground Elevation and Canopy Height Estimates in Mangroves [J]. IEEE Geoscience and Remote Sensing Letters, 2021.

[19]Zhu Xiaoxiao, Nie Sheng *, Wang Cheng, et al. Estimating terrain slope from ICESat-2 data in forest environments [J]. Remote Sensing, 2020, 12(20), 3300

[20]Zhu Xiaoxiao, Wang Cheng, Nie Sheng *, et al. Mapping forest height using photon-counting LiDAR data and Landsat 8 OLI data: A case study in Virginia and North Carolina, USA [J]. Ecological Indicators, 2020, 114: 106287. 

[21]Wang Cheng, Zhu Xiaoxiao, Nie Sheng *, et al. Ground elevation accuracy verification of ICESat-2 data: a case study in Alaska, USA [J]. Opt. Express, 2019, 27(26): 38168-38179

[22]Feng Baokun, Nie Sheng*, Wang Cheng, et al. Exploring the Potential of UAV LiDAR Data for Trunk Point Extraction and Direct DBH Measurement[J]. Remote Sensing, 2022, 14(12): 2753.

[23]Zhu Xiaoxiao, Wang Cheng , Nie Sheng *, et al. A ground elevation and vegetation height retrieval algorithm using micro-pulse photon-counting LiDAR data [J]. Remote Sens, 2018, 10(12), 1-23. 

[24]Sun Yue, Nie Sheng*, Li Guoyuan, et al. Evaluation of the performance of GaoFen-7 laser altimeter data for ground elevation retrieval over vegetated areas[J]. Remote Sensing Letters, 2022, 13(10): 991-1001.