Yuelong Xiao

肖粤龙

Assistant Professor · School of Forestry, Guangxi University · Nanning, China

Email GXU Profile Google Scholar GitHub ORCID ResearchGate

About Me

I am an Assistant Professor at the School of Forestry, Guangxi University. My research focuses on forest parameter mapping and ecological remote sensing, leveraging spaceborne LiDAR (GEDI, ICESat-2), multispectral/SAR satellite imagery (Sentinel-1/2, Landsat), and deep learning / machine learning methods to enable large-scale, high spatiotemporal resolution monitoring of forest structural parameters (canopy height, forest type, biomass, etc.).

Research Interests

Forest Canopy Height Mapping — Spaceborne LiDAR (GEDI / ICESat-2) + Sentinel multispectral/SAR + deep learning for 10 m resolution canopy height retrieval.
Temporal Dynamics Monitoring — Spatiotemporal modeling using Sentinel-2 time series (NDVI trajectories, phenological metrics) for inter-annual forest change detection.
LiDAR Accuracy in Complex Terrain — Evaluating GEDI/ICESat-2 retrieval accuracy in karst landforms; optimizing slope filtering and terrain correction.
Carbon Stock Estimation — Converting canopy height to aboveground biomass (AGB) for regional carbon budget assessment.
Spatiotemporal Deep Learning — 3D CNN, ConvLSTM, Temporal Attention for remote sensing time-series modeling.
Multi-Source Remote Sensing Fusion — Complementary use of GEDI and ICESat-2 for extended temporal coverage.

Publications

Xi, H., Wang, Q., Xiao, Y., Guo, Z., Tong, X., & Atkinson, P. M. (2026). Widespread biophysical cooling effects due to post-fire greening. International Journal of Applied Earth Observation and Geoinformation.

Xiao, Y., Wang, Q.*, Xi, H., & Tong, X. (2025). A 30 m canopy height map in China created by fusion of multiple relative height metrics. IEEE Transactions on Geoscience and Remote Sensing, 63, 1–16.

Xiao, Y., Wang, Q.*, & Zhang, H. K. (2024). Global Natural and Planted Forests Mapping at Fine Spatial Resolution of 30 m. Journal of Remote Sensing, 4, 0204.

Xi, H., Xiao, Y.*, & Chen, H. (2024). Estimating the spatiotemporal pattern of river dissolved organic carbon based on multisource remote sensing data. 5th International Conference on Geology, Mapping, and Remote Sensing (ICGMRS), 132232I.

Xiao, Y., Wang, Q.*, Tong, X., et al. (2023). Thirty-meter map of young forest age in China. Earth System Science Data, 15(8), 3365–3386.

Wu, W.#, Miao, Z.*#, Xiao, Y.#, et al. (2020). New scheme for impervious surface area mapping from SAR images with auxiliary user-generated content. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 5954–5970.

Miao, Z., Xiao, Y.*, Shi, W., et al. (2019). Integration of Satellite Images and Open Data for Impervious Surface Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(4), 1120–1133.

Miao, Z., Xiao, Y., Shi, W., et al. (2019). Synergy of Satellite Image and Volunteered Geographic Information to Change Analysis of Impervious Surface. 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), IEEE, 1–5.

Please visit my Google Scholar for the complete publication list.

Contact

Email: yuelong_x@126.com

Address: School of Forestry, Guangxi University, Nanning 530004, Guangxi, China

GitHub: github.com/YuelongX1