主要一作/通訊作者論著(zhù)：
[1] Zhao, Y.*, Bonello, P., & Liu, D*. (2023). Mapping the Environmental Risk of Beech Leaf Disease in the Northeastern United States, Plant Disease. doi: 10.1094/PDIS-12-22-2908-RE.
[2] Zhang, H., Luo, M.*, Zhao, Y.*, Lin, L., Ge, E., Yang, Y., ... & Wang, X. (2023). HiTIC-Monthly: a monthly high spatial resolution (1 km) human thermal index collection over China during 2003–2020, Earth System Science Data, 15(1), 359–381.
[3] Zhao, Y.*, & Zhu, Z. (2022). ASI: An Artificial Surface Index for Landsat 8 Imagery, International Journal of Applied Earth Observation and Geoinformation, 107, 102703.
[4] Zhao, Y., & Liu, D*. (2022). A robust and adaptive spatial-spectral fusion model for PlanetScope and Sentinel-2 imagery. GIScience & Remote Sensing, 59(1), 520-546.
[5] Zhao, Y., Huang, B.*, Liu, D., & He, Q. (2021). A sparse representation-based fusion model for improving daily MODIS C6.1 aerosol products on a 3 km grid. International Journal of Remote Sensing, 2021, 42(3), 1077-1095.
[6] Hao, T., Zhao, Y.*, Luo, M.*, He, Q., Han, Y., & Zeng, Z. (2021). Estimating PM2.5 from multisource data: A comparison of different machine learning models in the Pearl River Delta of China. Urban Climate, 35, 100740.
[7] Wu, S., Wang, P., Tong, X., Tian, H., Zhao, Y.*, & Luo, M*. (2021). Urbanization-driven increases in summertime compound heat extremes across China. Science of The Total Environment, 799, 149166.
[8] Wu, S., Chan, T., Zhang, W., Ning G., Wang, P., Tong, X., ..., Zhao, Y.*, & Luo, M*. (2021). Increasing compound heat and precipitation extremes elevated by urbanization in South China. Frontiers in Earth Science, 9, 636777.
[9] Zhao, Y., Liu, D.*, & Wei, X. (2020). Monitoring cyanobacterial harmful algal blooms at high spatiotemporal resolution by fusing Landsat and MODIS imagery. Environmental Advances, 2020, 2, 100008.
[10] Zhao Y., Huang B.*, & Song, H. (2018). A robust adaptive spatial and temporal image fusion model for complex land surface changes. Remote Sensing of Environment, 2018, 208, 42-62.
[11] Zhao, Y.*, & Huang B. (2017). A Hybrid Image Fusion Model for Generating High Spatial-Temporal-Spectral Resolution Data Using OLI-MODIS-Hyperion Satellite Imagery. World Academy of Science, Engineering and Technology, International Journal of Geological and Environmental Engineering, 11(9), 843-848.
[12] 趙涌泉, 單小軍, & 唐娉*. (2014). 低空間分辨率多源遙感數據的空間一致性分析和相對幾何校正. 遙感技術(shù)與應用, 29(1): 155–163.
主要合作論著(zhù)：
[1] Li, T.*, Zhu, Z., Wang, Z., Roman, M. O., Kalb, V. L., & Zhao, Y. (2022). Continuous monitoring of nighttime light changes based on daily NASA's Black Marble product suite. Remote Sensing of Environment, 282, 113269.
[2] Lin, L., Gao T.*, Luo, M.*, Ge, E., Yang, Y., Liu, Z., Zhao, Y., & Ning, G. (2020). Contribution of urbanization to the changes in extreme climate events in urban agglomerations across China. Science of The Total Environment, 2020, 744, 140264.
[3] 李大成*, 韓啟金, & 趙涌泉. (2018). 一種單時(shí)相高分辨率遙感影像時(shí)空融合算法. 計算機工程與應用, 54(5): 191–199.
[4] 黃波*, & 趙涌泉. (2017). 多源衛星遙感影像時(shí)空融合研究的現狀及展望. 測繪學(xué)報, 46(10)：1492–1499.
代碼分享：
https://github.com/RichardPix
