更新日期：2025.2

2018.09 - 2023.01 中国科学院大学, 地图学与地理信息系统, 理学博士

2014.09 - 2017.06 河南理工大学, 地图学与地理信息系统, 理学硕士

2010.09 - 2014.06 内江师范学院, 地理科学, 理学学士

2023.03 - 今      昆明理工大学, 国土资源工程学院, 专任教师

2021.08 - 2022.08 德国亥姆霍兹环境研究中心（UFZ）, 遥感系, 联合培养

2019.08 - 2021.08  中国科学院地理科学与资源研究所, 资源与环境信息系统国家重点实验室, 联合培养

2017.08 - 2018.08 中国科学院遥感与数字地球研究所, 遥感科学国家重点实验室, 客座实习

2015.08 - 2016.12  黄河水利委员会黄河水利科学研究院, 水利部黄土高原水土流失过程与控制重点实验室, 联合培养

[1] Dong Fan, Tianjie Zhao, Xiaoguang Jiang, Almudena García-García, Toni Schmidt, Luis Samaniego, Sabine Attinger, Hua Wu, Yazhen Jiang, Jiancheng Shi, Lei Fan, Bo-Hui Tang, Wolfgang Wagner, Wouter Dorigo, Alexander Gruber, Francesco Mattia, Anna Balenzano, Luca Brocca, Thomas Jagdhuber, Jean-Pierre Wigneron, Carsten Montzka&Jian Peng (2025). A Sentinel-1 SAR-based Global 1-km Resolution Soil Moisture Data Product: Algorithm and Preliminary Assessment. Remote Sensing of Environment, 318, 114579.

[2] Shaojie Du, Pan Duan, Tianjie Zhao, Zhen Wang, Shengda Niu, Chunfeng Ma, Defu Zou, Panpan Yao, Peng Guo&Dong Fan (2024). An Improved Change Detection Method for High-Resolution Soil Moisture Mapping in Permafrost Regions. GIScience & Remote Sensing, 61, 2310898.

[3] Dong Fan, Zhen Wang, Fuli Luo, Jiliu Hu, Junxuan Liu&Bo-Hui Tang (2024). Comparative Analysis of Two Angle Normalization Approaches for SAR Backscatter: Simulation and Satellite Observation-Based Evaluation in Soil Moisture Retrieval, IEEE International Geoscience and Remote Sensing Symposium IGARSS, 5067-5070.

[4] Xiujuan Li, Hua Wu, Li Ni, Jing Li, Xingxing Zhang, Dong Fan&Yuanliang Cheng (2024). A Practical Machine Learning Approach to Retrieve Land Surface Emissivity From Space Using Visible and Near-Infrared to Short-Wave Infrared Data. International Journal of Applied Earth Observation and Geoinformation, 134, 104170.

[5] Hang Xu, Bo-Hui Tang, Dong Wang, Menghua Li, Dong Fan&Xianguang Ma (2024). Retrieval of Particulate Organic Carbon Concentration in Erhai Lake Using Sentinel-3 Remote Sensing Data. International Journal of Remote Sensing, 45, 3717-3736.

[6] Kun Yang, Bo-Hui Tang, Wei Fu, Wei Zhou, Zhitao Fu&Dong Fan (2024). Estimation of Forest Canopy Fuel Moisture Content in Dali Prefecture by Combining Vegetation Indices and Canopy Radiative Transfer Models from MODIS Data. Forests, 15, 614.

[7] 陈创, 聂平静, 黄凤寸, 樊东, 向莉, 曾剑, 陈方伟&胡庚辛 (2024). 基于RSEI改进模型的生态环境质量评价及驱动机制研究—以湖南省桃江县为例. 水土保持通报, 44, 159-170.

[8] Yu Bai, Li Jia, Tianjie Zhao, Jiancheng Shi, Zhiqing Peng, Shaojie Du, Jingyao Zheng, Zhen Wang&Dong Fan (2023). A Soil Moisture Retrieval Method for Reducing Topographic Effect: A Case Study on the Qinghai-Tibetan Plateau with SMOS Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 4276-4286.

[9] Dong Fan, Tianjie Zhao, Xiaoguang Jiang, Huazhu Xue, Sitthisak Moukomla, Kittiwet Kuntiyawichai&Jiancheng Shi (2022). Soil Moisture Retrieval From Sentinel-1 Time-Series Data Over Croplands of Northeastern Thailand. IEEE Geoscience and Remote Sensing Letters, 19, 1-5.

[10] Letian Wei, Hua Wu, Xiaoguang Jiang, Caixia Gao, Yazhen Jiang, Dong Fan&Chen Ru (2022). Retrieval of Urban Surface Temperature by Considering the Sky View Factor: A Case Study of Beijing, China, IEEE International Symposium on Geoscience and Remote Sensing IGARSS, 6300-6303.

[11] Dong Fan, Xiaoguang Jiang, Hua Wu, Yazhen Jiang, Letian Wei, Caixia Gao&Jian Peng (2022). Comparative Analysis of Future Global Drought Risk Under Different Scenarios, IEEE International Symposium on Geoscience and Remote Sensing IGARSS, 7958-7961.

[12] Tianjie Zhao, Lu Hu, Jiancheng Shi, Haishen Lü, Shangnan Li, Dong Fan, Pingkai Wang, Deyuan Geng, Chuen Siang Kang&Ziqian Zhang (2020). Soil Moisture Retrievals Using L-band Radiometry From Variable Angular Ground-Based and Airborne Observations. Remote Sensing of Environment, 248, 111958.

[13] Dong Fan, Li Ni, Xiaoguang Jiang, Shifeng Fang, Hua Wu&Xiaoping Zhang (2020). Spatiotemporal Analysis of Vegetation Changes Along the Belt and Road Initiative Region From 1982 to 2015. IEEE Access, 8, 122579-122588.

[14] 胡路, 赵天杰, 施建成, 李尚楠, 樊东, 王平凯, 耿德源, 肖青, 崔倩&陈德清 (2020). 基于地基微波辐射观测的土壤水分反演算法评估. 遥感技术与应用, 35, 74-84.

[15] Dong Fan, Xiaoguang Jiang, Hua Wu, Changdi Xue, Guotao Dong, Caixia Gao, Xiaoping Zhang&Jiehai Cheng (2019). Temporal Downscaling of TRMM Precipitation Products Using AMSR2 Soil Moisture Data. IEEE International Symposium on Geoscience and Remote Sensing IGARSS 2019, 7733-7736.

[16] Changdi Xue, Lu Niu, Hua Wu, Xiaoguang Jiang&Dong Fan (2019). Drought Assessment in Belt and Road Area Based On Era5 Reanalyses. IEEE International Symposium on Geoscience and Remote Sensing IGARSS, 7737-7740.

[17] Dong Fan, Hua Wu, Guotao Dong, Xiaoguang Jiang&Huazhu Xue (2019). A Temporal Disaggregation Approach for TRMM Monthly Precipitation Products Using AMSR2 Soil Moisture Data. Remote Sensing, 11, 2962.

[18] 董国涛, 樊东, 杨胜天, 薛华柱, 周俊利, 党素珍&程春晓 (2018). GPM与TRMM降雨数据在黄河流域适用性分析. 水土保持研究, 25, 81-87.

[19] 周俊利, 薛华柱, 董国涛, 樊东, 刘启兴&贾培培 (2018). 基于AMSR2微波植被指数与地表温度的旱情分析. 水土保持研究, 25, 377-382.

[20] 周俊利, 薛华柱, 董国涛, 樊东, 郭欣伟&殷会娟 (2018). AMSR2微波植被指数在黄河流域的适用性对比与分析. 水土保持研究, 25, 378-384.

[21] 樊东, 薛华柱, 董国涛, 蒋晓辉, 张文鸽, 殷会娟&郭欣伟 (2017). 基于二次多项式回归模型的黑河流域TRMM数据降尺度研究. 水土保持研究, 24, 146-151.

[22] Dong Fan, Xiaotian Chen, Yaolin Li, Kai Du, Shufang Liu, Suzhen Dang, Peng Guo&Guotao Dong (2016). Spatio-Temporal Analysis of Vegetation Variation in the Jinghe River Basin. 4th International Conference on Sustainable Energy and Environmental Engineering (ICSEEE 2015).

[1] 顾及复杂地形和植被的山地土壤水分主动微波遥感反演方法研究, 国家自然科学基金青年科学基金项目, 2025.01-2027.12, 项目负责人

[2] 主被动微波土壤水分遥感建模方法, 云南省科学技术厅基础研究专项面上项目, 2024.03-2027.02, 项目负责人

[1] 云南省定量遥感重点实验室，学术委员会秘书

[2] 云南省山地灾害空天地一体化智慧监测国际联合实验室，学术委员会秘书

[3] 国际数字地球学会中国国家委员会第三届数字山地专委会，委员