General

Title: Prof. Dr.

Name: Li Wang

Email: wangli@aircas.ac.cn; wangli@radi.ac.cn

Affiliation: State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China


LI WANG received the Ph.D. degree from the Institute of Remote Sensing Applications, Chinese Academy of Sciences(CAS),in 2008. He is currently a Proposer with the Aerospace Information Research Institute, CAS. He has authored or co-authored more than 100 peer-reviewed papers. His research interest includes the fields of Terrestrial Ecosystem Carbon Cycle, Land Use and Land-cover Change, with a focus on remote sensing technologies and their application in eco-environment change (mapping and monitoring). 


Research Areas

Terrestrial Ecosystem Carbon Cycle, Land Use and Land-cover Change


Research Grants

1.National Key Research and Development Project under grant number 2021YFE0117900 :Carbon Disturbance in Global Terrestrial Ecosystem -- Observation and Assessment

2. The Strategic Priority Research Program of the Chinese Academy of Sciences under Grant XDA19030404 : Natural Disaster Monitoring and Risk Assessment in The Belt and Road Area, 

3. National Natural Science Foundation of China under Grant 41871347: Comparative Research on Vegetation Dynamics and Its Influencing Mechanisms in Typical Rocky Desertification Regions of Different Karst Geomorphologic Types
4. National Key Research and Development Project under grant number 2016YFC0502501 : The Regional Pattern of Eco-geological Environment Differentiation in Fault Basin


Publications

1.       Zhang, Y., Fu, M., Wang, L.*, Yang, H., Tang, F., & Xiong, Y. (2022). Continuous Change Detection and Classification – Spectral Trajectory Breakpoint Recognition for Forest Monitoring. Land11(3), 334.

2.       Tang F, Wang L*, Guo Y, Fu M, Huang N, Duan W, Luo M, Zhang J. Li W. & Song W. (2022). Spatio-temporal variation and coupling coordination relationship between urbanisation and habitat quality in the Grand Canal, China. Land Use Policy, 117: 106119.

3.       Wei, C., Fu, M., Wang, L.*, Yang, H., Tang, F., & Xiong, Y. (2022). The Research Development of

4.       Hedonic Price Model-Based Real Estate Appraisal in the Era of Big Data. Land11(3), 334.

5.       Yang, H., Fu, M., Wang, L.*, & Tang, F. (2021). Mixed Land Use Evaluation and Its Impact on Housing Prices in Beijing Based on Multi-Source Big Data. Land10(10), 1103.

6.       Tang F, Fu M, Wang L*, Song W, Yu J, Wu Y (2021) Dynamic evolution and scenario simulation of habitat quality under the impact of land-use change in the Huaihe River Economic Belt, China. PLoS ONE 16(4): e0249566. https://doi.org/10.1371/journal.pone.0249566

7.       Huang, N., Wang L.*, Song, X.-P., Black, T. A., Jassal, R. S., Myneni, R. B., Wu, C., Wang , L., Song, W., Ji, D., Yu, S., & Niu, Z. (2020). Spatial and temporal variations in global soil respiration and their relationships with climate and land cover. Science Advances 6, eabb8508.

8.       Ding, Q., Wang, L.*, Fu, M., & Huang, N. (2020). An integrated system for rapid assessment of ecological quality based on remote sensing data. Environmental Science and Pollution Research International.

9.       Tang, F., Fu, M., Wang, L.*, & Zhang, P. (2020). Land-use change in Changli County, China: Predicting its spatio-temporal evolution in habitat quality. Ecological Indicators117, 106719.

10.    Wang, L., Pei, J., Geng, J., & Niu, Z. (2019). Tracking the Spatial–Temporal Evolution of Carbon Emissions in China from 1999 to 2015: A Land Use Perspective. Sustainability11(17), 4531.

11.    Wang, L., Duan, W., Yu, B., Ying, Q., Yang, H., & Lei, Y. (2019). Exploring the Response Mechanism of Remote Sensing Images in Monitoring Fixed Assets Investment Project in Terms of Building Detection. IEEE Access7, 167919-167929.

12.    Pei, J., Wang, L.*, Wang, X., Niu, Z., Kelly, M., Song, X. P., ... & Xu, S. (2019). Time Series of Landsat Imagery Shows Vegetation Recovery in Two Fragile Karst Watersheds in Southwest China from 1988 to 2016. Remote Sensing11(17), 2044.

13.    Wu, Y., Zhai, H., Li, M., Cui, F., Wang, L.*, & Patil, N. (2019). Learning image convolutional representations and complete tags jointly. Neural Computing and Applications31(7), 2593-2604.

14.    Zhou, Y., Chen, Y., Gao, R., Feng, J., Zhao, P., & Wang, L.* (2019). SAR target recognition via joint sparse representation of monogenic components with 2D canonical correlation analysis. IEEE Access7, 25815-25826.

15.    Pei, J., Niu, Z., Wang, L.*, Song, X. P., Huang, N., Geng, J., ... & Jiang, H. H. (2018). Spatial-temporal dynamics of carbon emissions and carbon sinks in economically developed areas of China: a case study of Guangdong Province. Scientific reports8(1), 1-15.

16.    Pei, J., Wang, L.*, Huang, N., Geng, J., Cao, J., & Niu, Z. (2018). Analysis of Landsat-8 OLI Imagery for Estimating Exposed Bedrock Fractions in Typical Karst Regions of Southwest China Using a Karst Bare-Rock Index. Remote Sensing10(9), 1321.

17.    Wu, Y., Li, M., Liu, L., Zhang, Y., Liu, L., & Wang, L.* (2017). Spatial-temporal allocation of regional land consolidation project based on landscape pattern and system dynamics. Cluster Computing20(4), 3147-3160.

18.    Wu, Y., Zhou, Y., Guo, Y., & Wang, L.* (2017). The energy emission computing of land consolidation from the dual perspectives clustering method. Cluster Computing20(2), 979-987.

19.    Wu, Y., Guo, Y., Liu, L., Huang, N., & Wang, L.* (2017). Trend analysis of variations in carbon stock using stock big data. Cluster Computing20(2), 989-1005.

20.    Huang, N., Wang, L.*, Guo, Y., & Niu, Z. (2017). Upscaling plot-scale soil respiration in winter wheat and summer maize rotation croplands in Julu County, North China. International journal of applied earth observation and geoinformation54, 169-178.

21.    Kang, J., Wang, L.*, Chen, F., & Niu, Z. (2017). Identifying tree crown areas in undulating eucalyptus plantations using JSEG multi-scale segmentation and unmanned aerial vehicle near-infrared imagery. International Journal of Remote Sensing38(8-10), 2296-2312.

22.    Huang, N., Wang, L.*, Hu, Y., Tian, H., & Niu, Z. (2016). Spatial Variation of Soil Respiration in a Cropland under Winter Wheat and Summer Maize Rotation in the North China Plain. PloS one11(12), e0168249.

23.    Hao, P., Wang, L.*, Zhan, Y., & Niu, Z. (2016). Using moderate-resolution temporal NDVI profiles for high-resolution crop mapping in years of absent ground reference data: a case study of bole and manas counties in Xinjiang, China. ISPRS International Journal of Geo-Information5(5), 67.

24.    Hao, P., Wang, L.*, Zhan, Y., Wang, C., Niu, Z., & Wu, M. (2016). Crop classification using crop knowledge of the previous-year: Case study in Southwest Kansas, USA. European Journal of Remote Sensing49(1), 1061-1077.

25.    Kang, J., Wang, L.*, Jia, K., Niu, Z., Shakir, M., Qiao, H., & Zhao, X. (2016). Identifying crown areas in an undulating area planted with eucalyptus using unmanned aerial vehicle near-infrared imagery. Remote Sensing Letters7(6), 561-570.

26.    Huang, N., Gu, L., Black, T. A., Wang, L.*, & Niu, Z. (2015). Remote sensingbased estimation of annual soil respiration at two contrasting forest sites. Journal of Geophysical Research: Biogeosciences, 120(11), 2306-2325.

27.    Hao, P., Wang, L.*, & Niu, Z. (2015). Comparison of hybrid classifiers for crop classification using normalized difference vegetation index time series: A case study for major crops in North Xinjiang, China. PloS one10(9), e0137748.

28.    Hao, P., Wang, L.*, & Niu, Z. (2015). Potential of multitemporal Gaofen-1 panchromatic/multispectral images for crop classification: case study in Xinjiang Uygur Autonomous Region, China. Journal of Applied Remote Sensing9(1), 096035.

29.    Xu, S., Wu, C., Wang, L.*, Gonsamo, A., Shen, Y., & Niu, Z. (2015). A new satellite-based monthly precipitation downscaling algorithm with non-stationary relationship between precipitation and land surface characteristics. Remote sensing of environment162, 119-140.

30.    Huang, N., Wang, L.*, Guo, Y., Hao, P., & Niu, Z. (2014). Modeling spatial patterns of soil respiration in maize fields from vegetation and soil property factors with the use of remote sensing and geographical information system. PloS one9(8), e105150.

31.    Hao, P., Wang, L.*, Niu, Z., Aablikim, A., Huang, N., Xu, S., & Chen, F. (2014). The potential of time series merged from Landsat-5 TM and HJ-1 CCD for crop classification: A case study for Bole and Manas Counties in Xinjiang, China. Remote Sensing6(8), 7610-7631.

32.    Wang, L.*, Niu, Z., Wu, C., Xie, R., & Huang, H. (2012). A robust multisource image automatic registration system based on the SIFT descriptor. International journal of remote sensing33(12), 3850-3869.