Li Huan

Profile

I have an open mind and a great passion for scientific studies, firmly believing that Remote Sensing and GIScience has a strong power for us to understand the Earth and make the world better, cooperating with scientists in various fields. I am especially fascinated with geospatial big data analyses and applications in interdisciplinary fields, such as the cryosphere, global water cycle, climate change, and geographic information-related studies.

Research Interests

Cryosphere & Hydrosphere

• Sea-ice parameters retrieval

• Three pole research

• Global water bodies

Geographic Information Science

• Spatio-temporal big data analysis and visual exploration

• Data analysis by Google Earth Engine

• Air quality

Education

Wuhan University, LIESMARS, CHINA

2012–2016, Ph.D., Cartography and Geographic Information Engineering 

2010–2012, M.S., Geomatics Engineering

Wuhan University, School of Remote Sensing and Information Engineering, CHINA

2006–2010, B.S., Geographic Information System

Employment

Peking University, School of Earth and Space Sciences

2018.09-now, Post-doc position, Cryosphere and long-term change of global water bodies 

Tsinghua University, State Key Laboratory of Hydroscience and Engineering

2016.07-2018.07, Post-doc position, Data mining in Economy and Hydrology based on big data

Projects

China Post-doc Foundation, 2019.06-2020.9, Retrieving Antarctic sea-ice thickness and volume from ICESat and spatio-temporal variability analysis of them

National Natural Science Foundation of China, 2020.01-2022.12, Retrieving key parameters of circum-Antarctic sea ice with altimeter satellites and their spatio-temporal changes

Publications

1. Li, H., Wan, W.*, et al. (2022) , ‘Inspects and prospects of satellite remote sensing monitoring ability for land surface water in China’, Journal of Remote Sensing. (In Chinese, Accepted)

2. Geng, X., Li, H.*, et al. (2022), ‘Potential of ANN for Prolonging Remote Sensing-based Soil Moisture Products for Long-term Time Series Analysis’, IEEE Geoscience and Remote Sensing Letters. (Corresponding author)

3. Xu, Y., Li, H.*, et al. (2021), ‘Spatio-temporal changes of Antarctic sea ice based on ICESat/ICESat-2’, Geophysical Research Letters. e2021GL093425, doi: https://doi.org/10.1029/2021GL093425  (Corresponding author)

4. Li, H., et al. (2021). "A remote sensing-based area dataset for approximately 40 years that reveals the hydrological asynchrony of Lake Chad based on Google Earth Engine." Journal of Hydrology 603: 126934.

5. Li, H., Wan, W., Hong, Y., et al. (2019), "A Google Earth Engine-Enabled Software for Efficiently Generating High-Quality User-Ready Landsat Mosaic Images." Environmental Modelling & Software 112

6. Li, H., Xie, H., Kern, S., Wan, W., Ozsoy, B., Ackley, S., Hong, Y. (2018), "Spatio-temporal variability of Antarctic sea-ice thickness and volume obtained from ICESat data using an innovative algorithm." Remote Sensing of Environment 219: 44-61.

7. Fang, Y., Li, H.#, Wan, W., Zhu, S., Wang, Z., Hong, Y., et al. (2019). "Assessment of Water Storage Change in China’s Lakes and Reservoirs over the Last Three Decades." Remote Sensing 11(12): 1467. (Co-first author)

8. Li, H., Zeng, C., Wan, W., Hong, Y., et al. (2019), “A Remote Sensing-based Vacancy Area Index for Estimating Housing Vacancy and Ghost Cities in China,” IEEE Geoscience and Remote Sensing Symposium.

9. Li, H., Fan, H. and Mao, F. (2016). "A Visualization Approach to Air Pollution Data Exploration—A Case Study of Air Quality Index (PM2.5) in Beijing, China." Atmosphere 7(3): 35. 

10. Li, H., Fan, H., Li, J. and Chen, N. (2016). "Pull-Based Modeling and Algorithms for Real-Time Provision of High-Frequency Sensor Data from Sensor Observation Services." ISPRS International Journal of Geo-Information 5(4): 51. 

11. Li H., C. Zeng, W. Wan, Y. Cui, Y. Hong and W. Fan (2019). A Remote Sensing-based Vacancy Area Index for Estimating Housing Vacancy and Ghost Cities in China. IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, IEEE.

12. Li, H., Hong, Y., Zeng, C. (2018). “Can Crowdsourcing Support Remote Sensing Image Classification?”, The 26th International Conference on GeoInformatics, 2018. 

13. Fan, H., Li, H.* (2015). "An on-demand provision model for geospatial multisource information with active, self-adaption services, " in 2015 SPIE Ninth International Symposium on Multispectral Image Processing and Pattern Recognition: 98150B-98150B-8. 

14. Li, H., Fan, H., Wu, H.Y., Feng, H. and Li, P.P. (2014). "ReSDaP: A Real-Time Data Provision System Architecture for Sensor Webs," In 2014 Web and Wireless Geographical Information Systems, Springer: 85-99. 

15. Li, H., Fan, H. and Feng, H. (2012). "Real-time snow and rain rendering in 3D GIS environment," Journal of Image and Graphics: 1548-1553. (In Chinese)