Publications
For the lastest publication list, please refer to my google scholar page
2022
[13] Hong, F., Zhan, W., Göttsche, F. M., Liu, Z., Dong, P., Fu, H., Hunag, F., Zhang, X. (2022). A global dataset of spatiotemporally seamless daily mean land surface temperatures: generation, validation, and analysis. Earth System Science Data, 14(7), 3091-3113. [pdf] [link]
[12] Liu, Z., Zhan, W., Lai, J., Bechtel, B., Lee, X., Hong, F., Li, L., Huang, F., Li, J. (2022). Taxonomy of seasonal and diurnal clear-sky climatology of surface urban heat island dynamics across global cities. ISPRS Journal of Photogrammetry and Remote Sensing, 187, 14-33. [pdf] [link]
2021
[11] Du, H., Zhan, W., Liu, Z., Li, J., Li, L., Lai, J., Miao, S., Huang, F., Wang, C., Wang, C., Fu, H., Jiang L.,** Hong, F.*, Jiang, S. (2021). Simultaneous investigation of surface and canopy urban heat islands over global cities. *ISPRS Journal of Photogrammetry and Remote Sensing, 181, 67-83. [pdf] [link]
[10] Lai, J., Zhan, W., Quan, J., Liu, Z., Li, L., Huang, F., Hong, F., Liao, W. (2021). Reconciling debates on the controls on surface urban heat island intensity: Effects of scale and sampling. Geophysical Research Letters, 48(19), 2021GL094485. [pdf] [link]
[9] Hong, F., Zhan, W., Göttsche, F.-M., Lai, J., Liu, Z., Hu, L., Fu, P., Huang, F., Li, J., Li, H., & Wu, H. (2021). A simple yet robust framework to estimate accurate daily mean land surface temperature from thermal observations of tandem polar orbiters. Remote Sensing of Environment, 264, 112612. [pdf] [link]
[8] Jiang, L., Zhan, W., Hu, L., Huang, F., Hong, F., Liu, Z., Lai, J., Wang, C. (2021). Assessment of different kernel-driven models for daytime urban thermal radiation directionality simulation. Remote Sensing of Environment, 263, 112562. [pdf] [link]
[7] Li, J., Zhan, W., Hong, F., Lai, J., Dong, P., Liu, Z., Wang, C., Huang, F., Li, L., Wang, C., Fu, Y. (2021). Similarities and disparities in urban local heat islands responsive to regular-, stable-, and counter-urbanization: A case study of Guangzhou, China. Building and Environment, 199, 107935. [pdf] [link]
2020
[6] Wang, C., Zhan, W., Liu, Z., Li, J., Li, L., Fu, P., Huang, F., Lai, J., Chen, J., Hong, F., Jiang, S. (2020). Satellite-based mapping of the Universal Thermal Climate Index over the Yangtze River Delta urban agglomeration. Journal of Cleaner Production, 277, 123830. [pdf] [link]
[5] Jiang, S., Zhan, W., Yang, J., Liu, Z., Huang, F., Lai, J., Li, J., Hong, F., Huang, Y., Chen, J., Lee, X. (2020). Urban heat island studies based on local climate zones: A systematic overview. Acta Geographica Sinica, 75(9), 1860-1878. In Chinese. [pdf] [link]
2019
[4] Liu, Z., Zhan, W., Lai, J., Hong, F., Quan, J., Bechtel, B., Huang, F., Zou, Z. (2019). Balancing prediction accuracy and generalization ability: A hybrid framework for modelling the annual dynamics of satellite-derived land surface temperatures. ISPRS Journal of Photogrammetry and Remote Sensing, 151, 189-206. [pdf] [link]
2018
[3] Hong, F., Zhan, W., Göttsche, F.M., Liu, Z., Zhou, J., Huang, F., Lai, J., Li, M. (2018). Comprehensive assessment of four-parameter diurnal land surface temperature cycle models under clear-sky. ISPRS Journal of Photogrammetry and Remote Sensing, 142, 190-204. [pdf] [link]
[2] Zou, Z., Zhan, W., Liu, Z., Bechtel, B., Gao, L., Hong, F., Huang, F., Lai, J. (2018). Enhanced modeling of annual temperature cycles with temporally discrete remotely sensed thermal observations. Remote Sensing, 10(4), 650. [pdf] [link]
[1] Lai, J., Zhan, W., Huang, F., Voogt, J., Bechtel, B., Allen, M., Peng, S., Hong, F., Liu, Y., Du, P. (2018). Identification of typical diurnal patterns for clear-sky climatology of surface urban heat islands. Remote Sensing of Environment, 217, 203-220. [pdf] [link]