Jiangui Liu

Image Jiangui Liu
Physical Scientist

Conduct studies in quantitative remote sensing of land surface properties and vegetation productivity, agricultural land use and land management and their impact on agroecosystem sustainability and climate change

Current research and/or projects

Sustainability Metrics

Agricultural Climate Solutions  

Woody biomass

Research and/or project statements

Verify agricultural beneficial management practices, and develop tools for operational report of national scale agri-environmental indicators;

Monitor agricultural land vegetation health, functioning and productivity under interactions of land-use/land-management and climate change;

Study on cropland albedo change and impact to climate change;

Develop methods for mapping woody biomass and modeling carbon trend

 

Education and awards

Ph.D.: Chinese Academy of Sciences, 1999

M.Sc.: Lanzhou Institute of Physics, 1993

B.E.:    Tsinghua Univeristy, 1990

Key publications

  1. Budong Qian, Qi Jing, Guillaume Jégo, Gilles Bélanger, Ward Smith, Andy VanderZaag, Jiali Shang, Jiangui Liu, Brian Grant, Marianne Crépeau.2023. Warmer future climate in Canada – implications for plant hardiness and winter survival of perennial forage crops. Canadian Geophysical Union 2023 Annual Meeting, May 07-10, 2023, Banff, Alberta, Canada

    2023 - View publication details

  2. Liu, J., Worth, D.E., Desjardins, R.L., Haak, D., McConkey, B., Cerkowniak, D. (2021). Influence of two management practices in the Canadian Prairies on radiative forcing. Science of the Total Environment, [online] 765 http://dx.doi.org/10.1016/j.scitotenv.2020.142701

    2021 - View publication details

  3. Jing, Q., McConkey, B., Qian, B., Smith, W., Grant, B., Shang, J., Liu, J., Bindraban, P., Luce, M.S. (2021). Assessing water management effects on spring wheat yield in the Canadian Prairies using DSSAT wheat models. Agricultural Water Management, [online] 244 http://dx.doi.org/10.1016/j.agwat.2020.106591

    2021 - View publication details

  4. Liu, J., Huffman, T., Green, M., Joosse, P., Martin, T. (2020). Changes in land use and management by farm type and the impact on soil cover in Canada, 1991–2011. Ecological Indicators, [online] 116 http://dx.doi.org/10.1016/j.ecolind.2020.106531

    2020 - View publication details

  5. Croft, H., Arabian, J., Chen, J.M., Shang, J., Liu, J. (2020). Mapping within-field leaf chlorophyll content in agricultural crops for nitrogen management using Landsat-8 imagery. Precision Agriculture, [online] 21(4), 856-880. http://dx.doi.org/10.1007/s11119-019-09698-y

    2020 - View publication details

  6. Jiao, Q., Liu, L., Liu, J., Zhang, H., Zhang, B. (2020). Atmospherically resistant vegetation water indices using the 970-nm water absorption feature. Journal of Applied Remote Sensing, [online] 14(3), http://dx.doi.org/10.1117/1.JRS.14.034504

    2020 - View publication details

  7. Meng, X., Bao, Y., Liu, J., Liu, H., Zhang, X., Zhang, Y., Wang, P., Tang, H., Kong, F. (2020). Regional soil organic carbon prediction model based on a discrete wavelet analysis of hyperspectral satellite data. International Journal of Applied Earth Observation and Geoinformation, [online] 89 http://dx.doi.org/10.1016/j.jag.2020.102111

    2020 - View publication details

  8. Shang, J., Liu, J., Poncos, V., Geng, X., Qian, B., Chen, Q., Dong, T., Macdonald, D., Martin, T., Kovacs, J., Walters, D. (2020). Detection of crop seeding and harvest through analysis of time-series Sentinel-1 interferometric SAR data. Remote Sensing, [online] 12(10), http://dx.doi.org/10.3390/rs12101551

    2020 - View publication details

  9. Liu, J., Huffman, T., Qian, B., Shang, J., Li, Q., Dong, T., Davidson, A., Jing, Q. (2020). Crop Yield Estimation in the Canadian Prairies Using Terra/MODIS-Derived Crop Metrics. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, [online] 13 2685-2697. http://dx.doi.org/10.1109/JSTARS.2020.2984158

    2020 - View publication details

  10. Dong, T., Shang, J., Liu, J., Qian, B., Jing, Q., Ma, B., Huffman, T., Geng, X., Sow, A., Shi, Y., Canisius, F., Jiao, X., Kovacs, J.M., Walters, D., Cable, J., Wilson, J. (2019). Using RapidEye imagery to identify within-field variability of crop growth and yield in Ontario, Canada. Precision Agriculture, [online] 20(6), 1231-1250. http://dx.doi.org/10.1007/s11119-019-09646-w

    2019 - View publication details

  11. Dong, T., Shang, J., Chen, J.M., Liu, J., Qian, B., Ma, B., Morrison, M.J., Zhang, C., Liu, Y., Shi, Y., Pan, H., Zhou, G. (2019). Assessment of portable chlorophyll meters for measuring crop leaf chlorophyll concentration. Remote Sensing, [online] 11(22), http://dx.doi.org/10.3390/rs11222706

    2019 - View publication details

  12. Zhang, C., Liu, J., Dong, T., Shang, J., Tang, M., Zhao, L., Cai, H. (2019). Evaluation of the simple algorithm for yield estimate model in winter wheat simulation under different irrigation scenarios. Agronomy Journal, [online] 111(6), 2970-2980. http://dx.doi.org/10.2134/agronj2019.04.0305

    2019 - View publication details

  13. Liu, J., Shang, J., Qian, B., Huffman, T., Zhang, Y., Dong, T., Jing, Q., Martin, T. (2019). Crop yield estimation using time-series MODIS data and the effects of cropland masks in Ontario, Canada. Remote Sensing, [online] 11(20), http://dx.doi.org/10.3390/rs11202419

    2019 - View publication details

  14. Dong, T., Shang, J., Qian, B., Liu, J., Chen, J.M., Jing, Q., McConkey, B., Huffman, T., Daneshfar, B., Champagne, C., Davidson, A., MacDonald, D. (2019). Field-scale crop seeding date estimation from MODIS data and growing degree days in Manitoba, Canada. Remote Sensing, [online] 11(15), http://dx.doi.org/10.3390/rs11151760

    2019 - View publication details

  15. Cheng, Z., Meng, J., Shang, J., Liu, J., Qiao, Y., Qian, B., Jing, Q., Dong, T. (2019). Improving Soil Available Nutrient Estimation by Integrating Modified WOFOST Model and Time-Series Earth Observations. IEEE Transactions on Geoscience and Remote Sensing, [online] 57(5), 2896-2908. http://dx.doi.org/10.1109/TGRS.2018.2878382

    2019 - View publication details

  16. Wang, L., Zhang, G., Wang, Z., Liu, J., Shang, J., Liang, L. (2019). Bibliometric analysis of remote sensing research trend in crop growth monitoring: A case study in China. Remote Sensing, [online] 11(7), http://dx.doi.org/10.3390/rs11070809

    2019 - View publication details

  17. Dong, T., Liu, J., Shang, J., Qian, B., Ma, B., Kovacs, J.M., Walters, D., Jiao, X., Geng, X., Shi, Y. (2019). Assessment of red-edge vegetation indices for crop leaf area index estimation. Remote Sensing of Environment, [online] 222 133-143. http://dx.doi.org/10.1016/j.rse.2018.12.032

    2019 - View publication details

  18. Liao, C., Wang, J., Dong, T., Shang, J., Liu, J., Song, Y. (2019). Using spatio-temporal fusion of Landsat-8 and MODIS data to derive phenology, biomass and yield estimates for corn and soybean. Science of the Total Environment, [online] 650 1707-1721. http://dx.doi.org/10.1016/j.scitotenv.2018.09.308

    2019 - View publication details

  19. Zhang, C., Liu, J., Dong, T., Pattey, E., Shang, J., Tang, M., Cai, H., Saddique, Q. (2019). Coupling hyperspectral remote sensing data with a crop model to study winter wheat water demand. Remote Sensing, [online] 11(14), http://dx.doi.org/10.3390/rs11141684

    2019 - View publication details

  20. Qian, B., Jing, Q., Zhang, X., Shang, J., Liu, J., Wan, H., Dong, T., De Jong, R. (2019). Adapting estimation methods of daily solar radiation for crop modelling applications in Canada. Canadian Journal of Soil Science, [online] 99(4), 533-547. http://dx.doi.org/10.1139/cjss-2019-0018

    2019 - View publication details