徐晗泽宇，男，讲师，硕士生导师，2023年毕业于南京师范大学（地图学与地理信息系统专业）、获理学博士学位。主要研究领域为遥感数字图像处理与农业遥感应用。以第一/通讯作者身份在International Journal of Applied Earth Observation and Geoinformation、IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing、IEEE Geoscience and Remote Sensing Letters等领域内SCI期刊发表论文7篇、合作发表15篇；以第一/通讯作者身份发表在《地球信息科学学报》等CSCD期刊论文2篇、合作发表3篇。主持扬州市“绿扬金凤计划”高层次创新创业人才引进项目、扬州大学科研启动基金项目。担任IEEE Geoscience and Remote Sensing Letters、GIScience & Remote Sensing、Geo-spatial Information Science等期刊审稿人。入选“2024中国知网高被引学者 TOP5%”。

研究方向

遥感数字图像处理与农业遥感应用

https://www.researchgate.net/profile/Hanzeyu-Xu

开设课程

农业遥感原理与应用（作物栽培学与耕作学研究生专业基础课）；

人工智能与机器视觉（智慧农业本科学科基础课）

硕士研究生招生专业

090101 农学；090112T 智慧农业；0705地理学（070501 地理科学、070504地理信息科学）；081202 遥感科学与技术；080901 计算机科学与技术等相关专业

主要工作及教育经历

2024.05 - ，扬州大学智慧农业研究院

2018.09 - 2023.12，南京师范大学地理科学学院，地图学与地理信息系统，理学博士

2021.11 - 2022.12，Department of Geological and Atmospheric Sciences，Iowa State University，Geographical Research，联合培养博士

项目经历

1. 扬州市“绿扬金凤计划”高层次创新创业人才引进项目, 2025-2027, 主持, 在研.

2. 江苏省研究生科研创新计划项目(KYCX20_1179): 赣南地区柑橘果园扩张变化过程的遥感监测研究;2020-2021; 主持.

3. 国家自然科学基金面上项目(42271342): 顾及物方空间特征的卫星视频非刚体运动目标信息提取研;参与.

4. 海岸带地理环境监测国家测绘地理信息局重点实验室（深圳大学）开放基金项目(SZU201092019003)：快速城市化背景下粤港澳湾区果园开垦遥感监测研究; 2020-2021; 参与.

5. 地区科学基金项目(41867012):基于多源遥感信息和SWAT模型的柑橘果园扩展土壤侵蚀效应研究——以寻乌水流域为例; 2019-2022; 参与.

6. 地区科学基金项目(41861041): 退果还林工程景观弹性评估及对不同利益相关者成本效益影响; 2019-2022; 参与.

7. 国家科技支撑计划(2015BAH50F00): 文化遗产景观地旅游综合服务平台关键技术研究与示范; 参与.

学术论文

英文出版物 (h-index: 8)：

（第一作者/通讯作者发表）

1. Guo, Y., Zhan, M., Xu, H.*, Li, X., Fang, J., Zhou, X., Lin, D., & Chen, W*. (2025). MRSEILA: A modified remote sensing ecological index using local adaptability for enhancing ecological environment quality assessment. Ecological Informatics, 90, 103238. doi:https://doi.org/10.1016/j.ecoinf.2025.103238

2. Xu, H., Zhou, Y.*, Wei, Y., Liu, C.*, Li, X., & Chen, W. (2023). A Relative Radiometric Normalization Method for Enhancing Radiometric Consistency of Landsat Time-Series Imageries. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 5797-5812. doi:10.1109/JSTARS.2023.3288973 (SCI; WOS JCR: 1, IF: 5.5)

3. Xu, H., Zhou, Y.*, Wei, Y.*, Guo, H., & Li, X. (2023). A Multirule-Based Relative Radiometric Normalization for Multisensor Satellite Images. IEEE Geoscience and Remote Sensing Letters, 20, 5002105. doi:10.1109/LGRS.2023.3298505 (SCI; WOS JCR: 1; IF: 4.8)

4. Xu, H., Qi, S., Li, X., Gao, C., Wei, Y., & Liu, C. (2021). Monitoring three-decade dynamics of citrus planting in Southeastern China using dense Landsat records. International Journal of Applied Earth Observation and Geoinformation, 103(2021), 102518. doi:https://doi.org/10.1016/j.jag.2021.102518

5. Xu, H., Wei, Y.*, Li, X., Zhao, Y., & Cheng, Q. (2021). A novel automatic method on pseudo-invariant features extraction for enhancing the relative radiometric normalization of high-resolution images. International journal of remote sensing, 42(16), 6155-6186. doi:10.1080/01431161.2021.1934912 (SCI; WOS JCR: 2, IF: 3.4; citation: 18)

6. Xu, H., Wei, Y.*, Liu, C., Li, X., & Fang, H. (2019). A Scheme for the Long-Term Monitoring of Impervious−Relevant Land Disturbances Using High Frequency Landsat Archives and the Google Earth Engine. Remote Sensing, 11(16), 1891. doi:10.3390/rs11161891 (SCI; WOS JCR: 1, IF: 5; citation: 50)

7. Xu, H., Qi, S., Gong, P., Liu, C.*, & Wang, J. (2018). Long-term monitoring of citrus orchard dynamics using time-series Landsat data: a case study in southern China. International journal of remote sensing, 39(22), 8271-8292. doi:10.1080/01431161.2018.1483088

(合作发表)

1. Liu, C., Zhang, Q., Huang, H., Xu, H., & Cheng, X. (2025). Identifying where and when urban renewal occurs: a continuous change detection-based framework using two decades’ worth of Landsat data. International Journal of Digital Earth, 18(1), 2510573. doi:10.1080/17538947.2025.2510573

2. Wang, Y., Wang, J., Li, J., Wang, J., Xu, H., Liu, T., & Wang, J. (2025). Estimating Maize Leaf Water Content Using Machine Learning with Diverse Multispectral Image Features. Plants, 14(6), 14060973. doi:10.3390/plants14060973

3. Chen, J., Wang, J., Wang, J., Wang, Z., Zhao, L., Yan, Y., Li, J., Xu, H., Sun, C., & Liu, T. (2025). Investigating the Impact of Sowing Date on Wheat Leaf Morphology Through Image Analysis. Agriculture, 15(7), 15070770. doi:10.3390/agriculture15070770

4. Zhang, S., Xu, H., Liu, A., Qi, S., Hu, B., Huang, M., & Luo, J. (2024). Mapping of secondary forest age in China using stacked generalization and Landsat time series. Scientific Data, 11(1), 302. doi:10.1038/s41597-024-03133-2

5. Liu, C., Huang, H., Zhang, Q., Feng, X., Hou, X., Liu, C., Xu, H., & Cheng, X. (2024). Fine-resolution mapping and assessment of artificial surfaces in the northern hemisphere permafrost environments. International Journal of Digital Earth, 17(1), 2302579. doi:10.1080/17538947.2024.2302579

6. He, Y., Wu, X., Pan, W., Chen, H., Zhou, S., Lei, S., Gong, X., Xu, H., & Sheng, Y. (2024). LOD2-Level+ Low-Rise Building Model Extraction Method for Oblique Photography Data Using U-NET and a Multi-Decision RANSAC Segmentation Algorithm. Remote Sensing, 16(13). doi:10.3390/rs16132404

7. Guo, H., Ye, D., Xu, H., & Bruzzone, L. (2024). OBSUM: An object-based spatial unmixing model for spatiotemporal fusion of remote sensing images. Remote Sensing of Environment, 304, 114046. doi:https://doi.org/10.1016/j.rse.2024.114046

8. Zhang, S., Yu, J., Xu, H., Qi, S., Luo, J., Huang, S., Liao, K., & Huang, M. (2023). Mapping the Age of Subtropical Secondary Forest Using Dense Landsat Time Series Data: An Ensemble Model. Remote Sensing, 15(8), 2067. Retrieved from  doi:10.3390/rs15082067

9. Liu, C., Huang, H., Zhang, Q., Chen, X., Xu, X., Xu, H., & Cheng, X. (2022). Arctic’s man-made impervious surfaces expanded by over two-thirds in the 21st century. Science Bulletin, 67(14), 1425-1429. doi:https://doi.org/10.1016/j.scib.2022.06.001

10. Guo, H., Xu, H., Wei, Y., Shen, Y., & Rui, X. (2022). Outlier removal and feature point pairs optimization for piecewise linear transformation in the co-registration of very high-resolution optical remote sensing imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 193, 299-313. doi:https://doi.org/10.1016/j.isprsjprs.2022.09.008

11. Guo, H., Xu, H., Wei, Y., & Shen, Y. (2022). Point Pairs Optimization for Piecewise Linear Transformation of Multimodal Remote Sensing Images by the Similarity of Log-Gabor Features. IEEE Geoscience and Remote Sensing Letters, 19, 1-5. doi:10.1109/LGRS.2022.3207592

12. Xie, Z., Zhou, B.-B., Xu, H., Zhang, L., & Wang, J. (2021). An Agent-Based Sustainability Perspective on Payment for Ecosystem Services: Analytical Framework and Empirical Application. Sustainability, 13(1), 0253. doi:10.3390/su13010253

13. Xie, X., Fang, B., Xu, H., He, S., & Li, X. (2021). Study on the coordinated relationship between Urban Land use efficiency and ecosystem health in China. Land Use Policy, 102, 105235. doi:https://doi.org/10.1016/j.landusepol.2020.105235

14. Gao, C., Xu, M., Xu, H., & Zhou, W. (2021). Retrieving Photometric Properties and Soil Moisture Content of Tidal Flats Using Bidirectional Spectral Reflectance. Remote Sensing, 13(7), 1402. doi:10.3390/rs13071402

15. Liu, C., Zhang, Q., Luo, H., Qi, S., Tao, S., Xu, H., & Yao, Y. (2019). An efficient approach to capture continuous impervious surface dynamics using spatial-temporal rules and dense Landsat time series stacks. Remote Sensing of Environment, 229(2019), 114-132. doi:https://doi.org/10.1016/j.rse.2019.04.025

中文出版物：

1. 施海霞, 韦玉春, 徐晗泽宇*, 周爽, & 程琪. (2021). 高分遥感图像相对辐射校正中的伪不变地物自动提取和优化选择. 地球信息科学学报, 23(05), 903-917. 

2. 徐晗泽宇, 刘冲, 王军邦, & 齐述华. (2018). Google Earth Engine平台支持下的赣南柑橘果园遥感提取研究. 地球信息科学学报, 20(03), 396-404. 

3. 吴小影, 杨山, 尹上岗, & 徐晗泽宇. (2021). 快速城镇化背景下长三角城镇建设用地群态化特征及演变模式. 地理研究, 40(07), 1917-1934. 

4. 吴小影, 杨山, 尹上岗, & 徐晗泽宇. (2021). 基于GTWR模型的长三角地区城市建设用地时空动态特征及其驱动机理. 长江流域资源与环境, 30(11), 2594-2606. 

5. 张涛, 方宏, 韦玉春, 胡祺, & 徐晗泽宇. (2020). 顾及空间自相关性的高分遥感影像中建设用地的变化检测. 自然资源学报, 35(04), 963-976.