Zhu, Xiaoxiao

Member Profile

zhuxx@radi.ac.cn
Address: No.9 Dengzhuang South Road, Haidian District, Beijing, 100094, China

Education
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
● P.h. D Candidate Major in Geography and Geographic Information Systems 09/2016-06/2021(expected)

Wuhan University, Wuhan, Hubei, China
● B.E. Major in Remote Sensing Science and Technology 09/2012-06/2016

Research Interests
● Airborne LiDAR data filtering and classification.
● ICESat-2 data and GEDI data processing.
● Extraction of ground elevation.
● Mapping forest height and biomass.

Major work deblahion
Mapping forest height and biomass using space-borne LiDAR data
● I have proposed noise removing and signal photons classification algorithms to accurately retrieve ground elevation and vegetation height from ICESat-2 data. Experiment results indicated that the new algorithm effectively reduces the negative effects of slope and vegetation coverage in retrieving ground elevation and vegetation height.

● I have produced a forest height map in the southeastern of the United States using simulated ICESat-2 data and Landsat 8 OLI data. Findings from this study suggested the potential of ICESat-2 for forest canopy height mapping at a spatial resolution of 30 m in association with OLI data

Research on airborne LiDAR data filtering method
● I developed a threshold adaptive filtering algorithm based on the moving surface fitting to improve the accuracy, efficiency and adaptability. Experiment results indicated that the algorithm is well-adapted and has high filtering accuracy.

Classification of LiDAR data for Power Line Inspection
● According to the characteristics of pylons, I proposed a method to locate the position of pylons and extract the corresponding point clouds. Experiment results indicated that the method can extract 98.6% pylons of the power corridor and obtain high positioning accuracy of 14.8cm.

Selected publications
Zhu X., Wang C., Nie S., et al. A Ground Elevation and Vegetation Height Retrieval Algorithm Using Micro-Pulse Photon-Counting Lidar Data. Remote Sensing 10 (2018). (SCI)

Zhu X., Wang C., Xi X., et al. Hierarchical Threshold Adaptive for Point Cloud Filter Algorithm of Moving Surface Fitting [J]. Acta Geodaetica et Cartographica Sinica, 2018, 47 (2):153-160. (in Chinese with English Abstract)（EI）

Zhu X., Wang C., Nie S., Xi X., et al. Mapping forest canopy height using photon-counting LiDAR data and Landsat 8 OLI data. Ecological Indicators.(Under review) (SCI)

Wang C., Zhu X., Nie S., Xi X., et al. Ground elevation accuracy verification of ICESat-2 data: A study case in Alaska USA. Optics Express.(Under review) (SCI)

Nie S., Wang C., Xi X., Li G., Luo S., Yang X., Wang P., Zhu X., et al. Exploring the Influence of Various Factors on Slope Estimation Using Large-Footprint LiDAR Data[J]. IEEE Transactions on Geoscience & Remote Sensing, 2018, PP (99):1-11. (SCI)

Nie S., Wang C., Xi X., Luo S., Zhu X., 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. (SCI)

Yang X., Wang C., Xi X., Tian J., Zhu X. (in Chinese with English Abstract). Wavelet transform of Gaussian progressive decomposition method for full-waveform LiDAR data [J]. Journal of Infrared and Millimeter Waves. 2017, 36(6), 731-737. (SCI)

Honor & Awards
● 2016.12 13th China Postgraduate Mathematic Contest in Modeling Second Price (Top 15%)
● 2017.07 Received an excellent bachelor's degree thesis in Hubei Province. (Top 5%)
● 2017.05&2018.05 Received "Merit Student" from the University of Chinese Academy of Sciences. (Top 20%)

Professional expertise
● Languages: C++, Matlab, Python
● Tools: QT, GDAL, ArcGIS, Visual Studio, ENVI