| Department of Geographical Sciences

Ding, A., S. Liang, H. Ma, T. He, (2022), Extension of the Hapke model to the spectral domain to characterize soil physical properties, Remote Sensing of Environment, 269, 112843

Read more about Ding, A., S. Liang, H. Ma, T. He, (2022), Extension of the Hapke model to the spectral domain to characterize soil physical properties, Remote Sensing of Environment, 269, 112843

Guo, T., He, T., Liang, S., Roujean, J.-L., Zhou, Y., & Huang, X. (2022). Multi-decadal analysis of high-resolution albedo changes induced by urbanization over contrasted Chinese cities based on Landsat data. Remote Sensing of Environment, 269, 112832

Read more about Guo, T., He, T., Liang, S., Roujean, J.-L., Zhou, Y., & Huang, X. (2022). Multi-decadal analysis of high-resolution albedo changes induced by urbanization over contrasted Chinese cities based on Landsat data. Remote Sensing of Environment, 269, 112832

Zhan, C., & Liang, S. (2022). Improved estimation of the global top-of-atmosphere albedo from AVHRR data. Remote Sensing of Environment, 269, 112836

Read more about Zhan, C., & Liang, S. (2022). Improved estimation of the global top-of-atmosphere albedo from AVHRR data. Remote Sensing of Environment, 269, 112836

Ma, H., Liang, S., Zhu, Z., & He, T. (2022). Developing a Land continuous Variable Estimator to generate daily land products from Landsat data. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-11. doi:10.1109/TGRS.2021.3121272

Read more about Ma, H., Liang, S., Zhu, Z., & He, T. (2022). Developing a Land continuous Variable Estimator to generate daily land products from Landsat data. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-11. doi:10.1109/TGRS.2021.3121272

X. Gao, S. Liang, D. Wang, Y. Li, B. He, A. Jia. (2022). Exploration of a novel geoengineering solution: lighting up tropical forests at night, Earth System Dynamics, https://doi.org/10.5194/esd-13-219-2022

Read more about X. Gao, S. Liang, D. Wang, Y. Li, B. He, A. Jia. (2022). Exploration of a novel geoengineering solution: lighting up tropical forests at night, Earth System Dynamics, https://doi.org/10.5194/esd-13-219-2022

Li, Zhili

Zhili

Li

Zhili Li

Geospatial Information Science and Remote Sensing

Area of Interest

Spatial data science

Email

lizhili@umd.edu

Personal Website

Degrees Held

Remote Sensing of Resources and Environment, China University of Geosciences, Wuhan - M.Eng.

Surveying and Mapping Engineering, China University of Geosciences, Wuhan - B.E.

Read more about Li, Zhili

Student Status

PhD Advanced to Candidacy

Faculty Advisors

Shumilo L, Lavreniuk M, Skakun S, Kussul N. Is Soil Bonitet an Adequate Indicator for Agricultural Land Appraisal in Ukraine? Sustainability. 2021; 13(21):12096. https://doi.org/10.3390/su132112096

Read more about Shumilo L, Lavreniuk M, Skakun S, Kussul N. Is Soil Bonitet an Adequate Indicator for Agricultural Land Appraisal in Ukraine? Sustainability. 2021; 13(21):12096. https://doi.org/10.3390/su132112096

Chen, Y., Liang, S., Ma, H., Li, B., He, T., & Wang, Q. (2021). An all-sky 1 km daily surface air temperature product over mainland China for 2003–2019 from MODIS and ancillary data. Earth Syst. Sci. Data, 13, 4241-4261

Read more about Chen, Y., Liang, S., Ma, H., Li, B., He, T., & Wang, Q. (2021). An all-sky 1 km daily surface air temperature product over mainland China for 2003–2019 from MODIS and ancillary data. Earth Syst. Sci. Data, 13, 4241-4261

Li, B., Liang, S., Liu, X., Ma, H., Chen, Y., Liang, T., & He, T. (2021). Estimation of all-sky 1 km land surface temperature over the conterminous United States. Remote Sensing of Environment, 266, 112707.

Read more about Li, B., Liang, S., Liu, X., Ma, H., Chen, Y., Liang, T., & He, T. (2021). Estimation of all-sky 1 km land surface temperature over the conterminous United States. Remote Sensing of Environment, 266, 112707.

B. Franch, E. Vermote, S. Skakun, A. Santamaria-Artigas, N. Kalecinski, J.-C. Roger, I. Becker-Reshef, B. Barker, C. Justice, J.A. Sobrino, The ARYA crop yield forecasting algorithm: Application to the main wheat exporting countries.

Read more about B. Franch, E. Vermote, S. Skakun, A. Santamaria-Artigas, N. Kalecinski, J.-C. Roger, I. Becker-Reshef, B. Barker, C. Justice, J.A. Sobrino, The ARYA crop yield forecasting algorithm: Application to the main wheat exporting countries.