l  基本信息

姓名： 时洪涛

政治面貌: 中共党员

职称：讲师（硕导）

研究方向：高分辨率微波遥感土壤湿度反演；极化SAR散射建模与农业、水文遥感监测应用。

学术兼职：RSE、TGRS、JSTARS、Journal of Hydrology、Water Research, RS、雷达学报等10余个期刊审稿人，交叉科学学报责任主编、IEEE Member, 中国农学会会员，地球大数据科学工程数据质量审稿人

编程语言：精通Python/Matlab/IDL/C#多种计算机语言

Email: hongtao.shi@cumt.edu.cn

ResearchGate: https://www.researchgate.net/profile/Hongtao-Shi

l  教育与学历

l  工作经历

➢  2021.07-至今  中国矿业大学环境与测绘学院讲师

l  期刊论文

2019 至今

[1] Qian J, Yang J, Sun W, Zhao L, Shi L, Shi H, Liao L, Dang C and Dou Q. 2025. Evaluation and Improvement of Spatiotemporal Estimation and Transferability of Multi-Layer and Profile Soil Moisture in the Qinghai Lake and Heihe River Basins Using Multi-Strategy Constraints. Geoderma, 455 (February): 117222. [DOI:10.1016/j.geoderma.2025.117222]

[2] Wu Q, Shi H*, Dong X and Zhao L. 2024. Cross and Col-Pol Phase Difference Related to Crop tructures in the Quad-Pol SAR Data and Its Potential for Crop Monitoring. In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 4895–98. IEEE. [DOI:10.1109/IGARSS53475.2024.10642891]

[3] Shi H, Zhao J, Liu W, Lang F, Qian J, Zhao L and Huang Y. 2024. Potential of Model-Based Polarimetric Decomposition Extended with Multi-Frequency and Multi-Incidence PolSAR Observations. Remote Sensing Letters, 15 (12): 1282–94. [DOI:10.1080/2150704X.2024.2433746]

[4] Shi H, Zhao J, Liu W, Lang F, Qian J, Zhao L and Huang Y. 2024. Potential of Model-Based Polarimetric Decomposition Extended with Multi-Frequency and Multi-Incidence PolSAR Observations. Remote Sensing Letters, 15 (12): 1282–94. [DOI:10.1080/2150704X.2024.2433746]

[5] Zhao J, Zhang M, Zhou Z, Wang Z, Lang F, Shi H and Zheng N. 2024. CFFormer: A Cross-Fusion Transformer Framework for the Semantic Segmentation of Multi-Source Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 63:1–17. [DOI:10.1109/TGRS.2024.3507274]

[6] Shi, H., Qin, K., Lang, F., Zhao, L., Sun, Y., Zhao, J., and Qin, J.: Soil Moisture Estimation over Crop Fields Combined with Fully Polarimetric SAR and Passive Microwave Products Data, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-7837, https://doi.org/10.5194/egusphere-egu23-7837, 2023.

[7] Shi, H., Zhao, L., Yang, J., Lopez-Sanchez, J.M., Zhao, J., Sun, W., Shi, L., Li, P., 2021. Soil moisture retrieval over agricultural fields from L-band multi-incidence and multitemporal PolSAR observations using polarimetric decomposition techniques. Remote Sensing of Environment. 261, 112485. https://doi.org/10.1016/j.rse.2021.112485

[8] Shi, H., Lopez-Sanchez, J.M., Yang, J., Li, P., Zhao, L., Zhao, J., 2021. Contribution of Polarimetry and Multi-Incidence to Soil Moisture Estimation Over Agricultural Fields Based on Time Series of L -Band SAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14, 300–313. https://doi.org/10.1109/JSTARS.2020.3036732

[9] Shi, H., Yang, J., Li, P., Zhao, L., Liu, Z., Zhao, J., Liu, W., 2019. Soil moisture estimation using two-component decomposition and a hybrid X-Bragg/Fresnel scattering model. Journal of Hydrology. 574, 646–659. https://doi.org/10.1016/j.jhydrol.2019.04.049

[4] Shi, H., Yang, J., Zhao, L., Shi, L., Li, P., Zhao, J., Liu, W., Wang, L., 2019. Soil Moisture Retrieval Using a Modified Decomposition Method and Multi-Incidence Polarimetric SAR Data, in: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE. 6957–6960. https://doi.org/10.1109/IGARSS.2019.8899225

[10] Shi, H., Juan M. Lopez-Sanchez, Yang J. Alpha Approximation Method Extended With Multi-incidence PolSAR Observations and Polarimetric Decomposition Approach For Soil Moisture Estimation Over Agricultural Area. 10th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry (PolInSAR 2021), ESA. (Oral presentation)

[11] Shi, H., Qin, K., Lang, F., Zhao, L., Sun, Y., Zhao, J., and Qin, J.: Soil Moisture Estimation over Crop Fields Combined with Fully Polarimetric SAR and Passive Microwave Products Data, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-7837, https://doi.org/10.5194/egusphere-egu23-7837, 2023.

[12] Bian, C., Shi, H., Wu, S., Zhang, K., Wei, M., Zhao, Y., Sun, Y., Zhuang, H., Zhang, X., Chen, S., 2022. Prediction of Field-Scale Wheat Yield Using Machine Learning Method and Multi-Spectral UAV Data. Remote Sens. 14, 1474. https://doi.org/10.3390/rs14061474

       [13] Zhang, L., Meng, Q., Zeng, J., Wei, X., Shi, H., 2021. Evaluation of Gaofen-3 C-Band SAR for Soil Moisture Retrieval Using Different Polarimetric Decomposition Models. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 5707-5719. https://doi.org/10.1109/JSTARS.2021.3083287

[14] Dou, Q., Xie, Q., Peng, X., Lai, K., Wang, J., Lopez-Sanchez, J.M., Shang, J., Shi, H., Fu, H., Zhu, J., 2022. Soil Moisture Retrieval Over Crop Fields Based on Two-Component Polarimetric Decomposition: A Comparison of Generalized Volume Scattering Models. J. Hydrol. 615, 128696. https://doi.org/10.1016/j.jhydrol.2022.128696

[15] Liu, J., Zhang, K., Wu, S., Shi, H., Zhao, Y., Sun, Y., Zhuang, H., Fu, E., 2022. An Investigation of a Multidimensional CNN Combined with an Attention Mechanism Model to Resolve Small-Sample Problems in Hyperspectral Image Classification. Remote Sens. 14. https://doi.org/10.3390/rs14030785

[16] Tang, Z., Sun, Y., Wan, G., Zhang, K., Shi, H., Zhao, Y., Chen, S., Zhang, X., 2022. Winter Wheat Lodging Area Extraction Using Deep Learning with GaoFen-2 Satellite Imagery. Remote Sens. 14, 1–22. https://doi.org/10.3390/rs14194887

[17] Liu, J., Zhang, K., Wu, S., Shi, H., Zhao, Y., Sun, Y., Zhuang, H., Fu, E., 2022. An Investigation of a Multidimensional CNN Combined with an Attention Mechanism Model to Resolve Small-Sample Problems in Hyperspectral Image Classification. Remote Sens. 14. https://doi.org/10.3390/rs14030785

[18]郎丰铠,何苏颖,邱奥深,等.高砾石地表全极化SAR土壤水分反演方法[J].测绘学报,2024,53(11):2189-2200.

[19]陈国良, 时洪涛*, 汪云甲等.矿山地质环境“天-空-地-人”协同监测与多要素智能感知[J].金属矿山,2023(01):9-16.DOI:10.19614/j.cnki.jsks.202301002.

2015~2018

[1] Liu, W., Yang, J., Zhao, J., Shi, H., Yang, L., 2018. An Unsupervised Change Detection Method Using Time-Series of PolSAR Images from Radarsat-2 and GaoFen-3. Sensors 18, 559. https://doi.org/10.3390/s18020559 (JCR一区，2021年IF=3.576)

[2] Liu, W., Yang, J., Li, P., Han, Y., Zhao, J., Shi, H., 2018. A novel object-based supervised classification method with active learning and random forest for PolSAR imagery. Remote Sensing. 10. https://doi.org/10.3390/rs10071092 (JCR一区，2021年IF=4.848)

[3] 时洪涛, 宋冬梅, 单新建等. MODIS_LST与AMSR-E_BT的相关性及地表温度反演. 地球信息科学学报，2016, 18(4): 564-574. (CSCD中文核心)

[4] 宋冬梅, 陈伟民, 时洪涛等. 地震热红外异常信息提取与预测系统. 2016. (软件著作权)

[5] 宋冬梅, 时洪涛, 单新建等. 基于热异常信息与BP神经⽹络的中强地震预测试验. 地震地质, 2015(2):649-660. (EI检索)

l  项目

[1] 国家自然科学基金委员会, 青年基金项目, 42301412,被动微波观测约束下的多波段极化SAR农作物根区土壤湿度反演方法研究, 2024-01-01 至 2026-12-31, 30万元, 在研, 主持

[2] 新疆维吾尔自治区科学技术厅, 重点研发计划项目，露天煤矿安全高效智能化绿色开采技术研究（子课题5）, 2024-14072, 2023-12-27 至 2026-12-31, 20万元, 在研, 主持

[3] 中国科学院空天信息创新研究院, 中国西南地区土壤、植被产品真实性检验，2023-09-2024-12, 26万元, 结题, 主持

[4] 武汉大学测绘遥感信息国家重点实验室, 开放基金项目, 22R05, 星载C、L、P 波段SAR植被根区土壤湿度反演, 2023-01 至 2024-12, 5万元, 在研, 主持

[5] 中国矿业大学, 中央高校基本科研业务费专项青年科技基金, 2022QN1080, 星载多角度、多极化 SAR时序土壤湿度反演方法研究, 2022-01 至 2023-12, 6万元, 在研, 主持

[6] 自然资源部地理国情监测重点实验室, 实验室开放基金, 2022NGCM04, 植被覆盖区多模式 SAR 高分辨率土壤湿度反演, 2022-01 至 2023-12, 5万元, 在研, 主持

[8] 山东省教育厅, 山东省高校优秀青年创新团队, 2022KJ178, 黄河流域极端气象灾害及其对生态系统碳循环的影响研究, 2022-12 至 2025-12, 30万元, 在研, 参与

[9] 国家自然科学基金委员会, 联合基金项目, U22A20569, 高寒关键生态走廊滑坡机理与空天地协同智能监测预警方法, 2023-01-01 至 2026-12-31, 254万元, 在研, 参与

[10] 国家自然科学基金委员会, 面上项目, 42274054, 基于极化DSInSAR的地下煤火区地表形变监测及反演方法研究, 2023-01-01 至 2026-12-31, 56万元, 在研, 参与

[11] 国家自然科学基金委员会, 面上项目, 42274021, GNSS水汽多源融合信息挖掘及其在低空通航中的应用, 2023-01-01 至 2026-12-31, 56万元, 在研, 参与

[12] 国家自然科学基金委员会, 面上项目, 42071295, 基于SAR多维度观测的时序土壤含水量高精度反演,2021-01-01 至 2024-12-31, 56万元, 在研, 参与

[13] 国家自然科学基金委员会, 面上项目, 61971318, 利用灾后极化SAR影像的谷类作物倒伏监测和解译,2020-01-01 至 2023-12-31, 59万元, 在研, 参与

[14] 国家自然科学基金委员会, 面上项目, 41772350, 基于遥感重力场数据探讨热场对构造活动的响应能力 ——以青藏高原及周边区为例, 2018-01-01 至 2021-12-31, 64万元, 结题, 参与

l  奖励荣誉

[1] 时洪涛; 多模式极化SAR农作物区土壤含水量估计, 第二届雷达学报博士论坛，优秀报告奖,  2022.11

[2] 时洪涛(1/4); 多入射角、多时相极化SAR观测在农作物区土壤湿度反演中的应用与分析, 中国数字地球大会组委会, 最佳论文奖, 2021.09

[3] 时洪涛；2022江苏省“双创博士”世界名校类，JSSCBS20221511, 星载多波段 SAR 农作物覆盖地表土壤湿度剖面信息反演，2022.10

[4] 时洪涛（10/12），第四届全国高等学校GIS教学成果一等奖，面向“双创”能力提升的赛教融合地理信息人才培养模式，2023.07

[5] 时洪涛(1/4); 武汉大学研究生学术创新二等奖, 武汉大学, 学术创新奖, 2021

[6] Hongtao Shi；The Potential of Multi-frequency, -incidence, and -temporal Fully Polarimetric SAR Data in Surface Soil Moisture Inversion, The 2019 International Graduate Workshop on Geo-informatics (IGWG2019), Best Oral Presentation Award, 2019