副研究员
聂胜
职  称:
职  务:
学  历:
电  话: 010-81278128
传  真:
电子邮件: niesheng@aircas.ac.cn
通讯地址:

 

研究领域/方向

激光雷达遥感

 

 

教育背景


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

 

 

工作经历


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

 

 

承担科研项目情况


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
2020.01-2022.12   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
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

 

 

获奖及荣誉

 

2018.09       测绘科技进步二等奖     排名第6
2018.12       中国科学院青年创新促进会会员
2019.01       河南省科学技术进步二等奖     排名第6
2020.11       中国激光雷达青年科技奖 

 

 

主要论著


[1]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.
[2]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.
[3]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.
[4]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.
[5]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.
[6]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.
[7]Nie Sheng, Wang Cheng, Dong Pinliang, et al. A revised progressive TIN densification for filtering airborne LiDAR data [J]. Measurement, 2017, 104: 70-77.
[8]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.
[9]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.
[10]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.
[11]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.
[12]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.
[13]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
[14] 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.
[15]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
[16]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.

 

 

招生信息

 

 

 

指导学生情况