Nie, Sheng

Member Profile

Center for Ecosystem Science and Society (Ecoss)
Northern Arizona University
P.O. Box 5620
Flagstaff, AZ 86011
Phone: (928) 225-8966
Email: sheng.nie@nau.edu
Researchgate profile: https://www.researchgate.net/profile/Sheng_Nie

Education
2012/09 - 2017/06, Ph.D. in Geographical Information Science and Remote Sensing, University of Chinese Academy of Sciences, Beijing, China

2008/09 - 2012/06, B.Eng. in Surveying Engineering, Wuhan University, Wuhan, China

Work Experience
2017/07 ~ current, Assistant Professor, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, Beijing, China

Research Expertise
● Light detection and ranging (LiDAR) data processing and analysis.
● LiDAR remote sensing for agricultural and forestry applications.

Funded Research Projects
● The Youth Innovation Promotion Association CAS (2019130), 01/01/2019 - 12/31/2022 (Principal Investigator)
● National Natural Science Foundation of China: Forest leaf area index retrieval using space-borne photon-counting LiDAR technology (41901289), 01/01/2020 - 12/31/2022 (Principal Investigator)
● Independent Science and Technology Project of State Grid Economic and Technological Research Institute: UAV LiDAR data processing and validation, 01/01/2019 - 12/31/2019 (Principal Investigator)
● The Open Fund Project of HIST Hengyang Base, 01/07/2018 - 12/31/2020 (Principal Investigator)

Honors and Awards
2019, Member of Youth Innovation Promotion Association CAS
2017, Outstanding graduate of Beijing City
2017, Outstanding graduate of Univerisity of Chinese Academy of Sciences

Review Services
Reviewer for several international journals, including:
Methods in Ecology and Evolution; ISPRS Journal of Photogrammetry and Remote Sensing; Remote Sensing; Journal of Applied Remote Sensing; Measurement; Remote sensing letter; Optical Engineering; Sensors; GIS and Remote Sensing; Digital signal processing; Geoscience and Remote Sensing Letters; International Journal of Applied Earth Observation and Geoinformation.

Selected Peer-reviewed Papers (over 30 peer-reviewed papers, * corresponding author)
1. Nie Sheng., Wang Cheng.*, Xi Xiaohuan., Luo Shezhou., Zhu Xiaoxiao., et al.Assessing the Impacts of Various Factors on Treetop Detection Using LiDAR-Derived Canopy Height Models. IEEE Transactions on Geoscience & Remote Sensing, 2019, PP 1-17.

2. Nie, Sheng., Wang, Cheng*., Zeng, Hongcheng., Xi, Xiaohuan & Xia, Shaobo. 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., Li, Guicai., Xi, Xiaohuan., Wang, Pu & Yang, Xuebo. A Novel Model for Terrain Slope Estimation Using ICESat/GLAS Waveform Data [J]. IEEE Transactions on Geoscience & Remote Sensing, 2017, PP (99):1-11.

4. Nie, Sheng., Wang, Cheng*., Xi, Xiaohuan., Luo, Shezhou., Yang, Xuebo., Wang, Pu & Zhu, Xiaoxiao. Exploring the influence of various factors on slope estimation using Satellite Alitimeter data [J]. IEEE Transactions on Geoscience & Remote Sensing, 2018, pp (99). 1-11.

5. 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, pp(99). 1-12.

6. Nie, Sheng., Wang, Cheng*., Xi, Xiaohuan., Luo, Shezhou., Li, Guoyuan., Tian, Jinyan & Wang, Hongtao. Estimating the vegetation canopy height using micro-pulse photon-counting LiDAR data [J]. Optics Express, 2018, 26(6).

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

8. Nie, Sheng., Wang, Cheng*., Zeng, Hongcheng., Xi, Xiaohuan., Li, Guicai & Luo, Shezhou. Above-ground biomass estimation using airborne discrete and full-waveform LiDAR in a coniferous forest [J], Ecological Indicators, 2017, 78: 221-228.

9. Wang, Cheng., Nie, Sheng*., Xi, Xiaohuan., Luo, Shezhou & Sun, Xiaofeng. Estimating the Biomass of Maize with Hyperspectral and LiDAR Data [J]. Remote Sensing. 2016, 11(9):1-12.

10. 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.

11. Nie, Sheng., Wang, Cheng*., Xi, Xiaohuan., Luo, Shezhou & Qin, Haiming. A revised progressive TIN densification for filtering airborne LiDAR data, Measurement, 2017, 104: 70-77.

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

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

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

15. 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. Remote Sens. 2018, 10, 1691. doi: 10.3390/rs10111691.

16. 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 [J]. Ecological Indicators, 2014, 48: 550-559.

17. Luo, Shezhou., Wang, Cheng*., Xi, Xiaohuan., Pan, Feifei., Peng, Dailiang., Zou, Jie & Nie, Sheng. Fusion of airborne LiDAR data and hyperspectral imagery for aboveground and belowground forest biomass estimation [J]. Ecological Indicators, 2016, 73: 378-387.

18. Luo, Shezhou., Wang, Cheng., Xi, Xiaohuan., Qian, Mingjie., Pan, Feifei., Peng, Dailiang & Nie, Sheng. 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 & Geoinformation, 58: 107-117.

19. Luo, Shezhou., Chen, Jingming., Gonsamo, Alemu., Xi, Xiaohuan., Lin, Yi., Qian, Mingjie., Peng, Dailiang & Nie, Sheng. Comparative Performances of Airborne LiDAR Height and Intensity Data for Leaf Area Index Estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10.1109/JSTARS.2017.2765890.

20. 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.

21. Guo, X., Wang, L., Tian, J., Yin, D., Shi, C., & Nie, Sheng (2018). Vegetation Horizontal Occlusion Index (VHOI) from TLS and UAV Image to Better Measure Mangrove LAI. Remote Sensing, 10, 1739.