核心方向：        

        主要从事多源微波与光学遥感协同反演研究，聚焦陆面土壤水分等关键水文参数的高时空分辨率遥感反演理论、算法与应用。围绕卫星遥感观测在空间分辨率、时间连续性和全天候覆盖等方面的关键瓶颈，开展多源遥感融合、陆面微波遥感机理及国产风云卫星遥感算法研究，形成了从机理模型、反演算法到数据产品和业务应用的系统化研究方向。

主要贡献：

        围绕全球陆面土壤温湿度高分辨率遥感反演，构建了多源微波与光学遥感协同反演方法体系，研制了兼具 1 km 空间分辨率、逐日时间分辨率和全天候覆盖能力 的长时序土壤水分遥感数据集，为全球水文、生态及气候变化研究提供了重要数据支撑。相关数据集获评国家对地观测科学数据中心 2024 年“十大最具价值共享开放遥感数据集”。

        面向国产风云卫星陆面定量遥感业务需求，持续开展土壤水分遥感反演算法工程化研究，推动1 km分辨率遥感土壤水分产品反演算法通过中国气象局天气预报科技成果转化认证，并在中央气象台农业墒情监测业务中实现应用，为国产气象卫星陆面遥感产品业务化提供了关键技术支撑。

1.  “基于多源极轨和静止卫星数据融合的逐小时全天候地表土壤水分估算方法（42371330）”，国家自然科学基金面上项目，2024-2027，主持人

2. “基于被动微波降尺度的中国千米级分辨率逐日卫星土壤水分产品估算方法研究 （42001304）”，国家自然科学青年基金C类，2021-2023年，主持人

3.  “基于FY-3卫星的水文参数精细化反演与干旱监测预警（FY-APP-2024,0401）”,中国气象局风云卫星先行计划三期项目（12进1），2024-2026，主持人

4.  “新一代水资源卫星关键产品反演技术”，上海航天科技创新基金，2025-2026，主持人

5.  “融合卫星土壤水分信息的高分辨率遥感蒸散发估算方法研究”，中国博士后面上项目，2021-2022，主持人

6.  “中国1km分辨率逐日全天候地表土壤水分遥感数据集算法”，中国气象局天气预报科技成果转化项目，2024-2025，主持人

7.  “基于主/被动微波及光学遥感协同降尺度技术的高时空分辨率全覆盖土壤水分估算方法(OFSLRSS202117) ”，遥感科学国家重点实验室开放基金，2021-2023年，主持人

1. Mengran Wang, Peilin Song*, Jiangyao Zheng, Tianjie Zhao, Haigen Zhao, Jingfeng Huang. A Multi-temporal-scale Framework for Estimating Sub-Daily Soil Moisture by Fusing AMSR2 and SMAP Datasets. IEEE Transactions on Geoscience and Remote Sensing, 2026, 64, 5301320.

2. Peilin Song, Xiaojun Li*, Tianjie Zhao, Shengda Niu, Yanlong Sun and Liang He, Quantification and Correction of SMAP Soil Moisture Retrieval Biases Induced by Subpixel Moisture and Texture Heterogeneity over China, IEEE Transactions on Geoscience and Remote Sensing, 2026, 64, 5300816.

3. Peilin Song*, Mengran Wang, Lixin Dong, Tianjie Zhao, Haigen Zhao*, Jingfeng Huang, Panpan Yao, Jingyao Zheng, Yongqiang Zhang. An Innovative Framework for Hourly Satellite Soil Moisture Retrieval via Integrated Spatiotemporal Downscaling Techniques. IEEE Transactions on Geoscience and Remote Sensing. 2025, 63, 4422716.

4. Peilin Song, Tianjie Zhao*, Jiancheng Shi, Yongqiang Zhang, Jingyao Zheng. A Novel Downscaling Approach based on Multi-Frequency Microwave Radiometry toward Finer Scale Global Soil Moisture Mapping, IEEE Transactions on Geoscience and Remote Sensing. 2024, 62, 1-15. 

5. Peilin Song, Xiangzhuo Liu, Ling Sun, Xiaochun Zhai, Jiao Wang, Liang He, Yuanyuan Wang, Yongqiang Zhang*, Guicai Li*: Soil moisture estimation based on FY-3E backscattering data for enhanced daily coverage to SMAP observations in the dawn-dusk orbit. Remote Sensing of Environment（IF：11.4）, 2024, 309, 114209. 

6. Peilin Song*, Tianjie Zhao*, Yongqiang Zhang, and Qingying He: Conversion of satellite passive microwave signals to land surface “skin” temperature for extremely dry deserts. Remote Sensing of Environment, 2023, 299, 113857.

7. Peilin Song; Yongqiang Zhang*. An improved non-linear inter-calibration method on different radiometers for enhancing coverage of daily LST estimates in low latitudes. Remote Sensing of Environment, 2021, 264: 112626.

8. Peilin Song; Lamin R Mansaray; Jingfeng Huang*; Wenjiang Huang. Mapping paddy rice agriculture over China using AMSR-E time series data, ISPRS Journal of Photogrammetry and Remote Sensing （IF:12.2）, 2018, 144: 469-482.

9. Peilin Song; Jingfeng Huang*, et al. An Improved Soil Moisture Retrieval Algorithm Based on the Land Parameter Retrieval Model for Water-Land Mixed Pixels Using AMSR-E Data, IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(10): 7643-7657.

10. Peilin Song, Mengran Wang, Ronghan Xu*, Lin Chen, Jie Liao, Shengli Wu, Guicai Li, Xiuqing Hu. Global intraday land surface temperature estimation of enhanced coverage by fusion of passive microwave data between different polar orbits. International Journal of Applied Earth Observation and Geoinformation. 2025, 144, 104873.

11. Peilin Song*, Xiaojie Li*, Zonghan Ma, and Shengli Wu: Estimation of all-weather land surface temperature through correcting cloud-shadowing bias simulated by hourly cloud information. International Journal of Applied Earth Observations and Geoinformation. 2024, 128, 103703. 

12. Peilin Song, Yongqiang Zhang*., Jianping Guo*., Jiancheng Shi, Tianjie Zhao., and Bing Tong: A 1 km daily surface soil moisture dataset of enhanced coverage under all-weather conditions over China in 2003–2019, Earth System Science Data (IF:11.4), 2022, 14, 2613–2637.

13. Peilin Song; Yongqiang Zhang*; Jing Tian. Improving surface soil moisture estimates in humid regions by an enhanced remote sensing technique. Geophysical Research Letters, 2021, 48(5).

14. Peilin Song; Jingfeng Huang*; Lamin R.Mansaray. An improved surface soil moisture downscaling approach over cloudy areas based on geographically weighted regression, Agricultural and Forest Meteorology, 2019, 275: 146-158.

15. Peilin Song*, Jingfeng Huang.  Repositioning satellite soil moisture for agricultural drought monitoring: Misconceptions, bottlenecks, and future directions. The Innovation Geoscience. 2026, 4(1):100194.

16. Peilin Song; Xiaomei Zheng, et al. Estimating reed loss caused by Locusta migratoria manilensis using UAV-based hyperspectral data, Science of the Total Environment, 2020, 719: 137519.

17. Thomas Dowling, Peilin Song*, et al. An Improved Cloud Gap-Filling Method for Longwave Infrared Land Surface Temperatures through Introducing Passive Microwave Techniques, Remote Sensing, 2021, 13(17):3522.

18. Chao Zhang, Kangyu Zhang, Peilin Song*. Assessing satellite-derived wind speeds: insights from buoy measurements and analysis of deviation factors, International Journal of Remote Sensing, 2024, 45(12), 4095–4119.

19. Jiao Wang, Yongqiang Zhang*, Peilin Song*, and Jing Tian: Estimating sub-daily resolution soil moisture using Fengyun satellite data and machine learning. Journal of Hydrology, 2024, 632 (7), 130814.