研究领域：

  卫星定量遥感机理与方法

  Review editor for Frontiers in Remote Sensing, https://loop.frontiersin.org/people/1928124/overview 

文章发表：

1. 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 Transanctions on Geoscience and Remote Sensing. 2024, 62, 1-15.  https://doi.org/10.1109/TGRS.2024.3490758 

2. 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.

3. 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, 2024, 309, 114209. https://doi.org/10.1016/j.rse.2024.114209.

4. 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, 130814. https://doi.org/10.1016/j.jhydrol.2024.130814

5. 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. https://doi.org/10.1016/j.jag.2024.103703

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 (IF:13.5), 2023, 299, 113857. https://doi.org/10.1016/j.rse.2023.113857.

7. 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 Syst. Sci. Data (IF: 11.4), 2022, 14, 2613–2637, https://doi.org/10.5194/essd-14-2613-2022.
8. 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 (IF: 13.5), 2021, 264: 112626.
9. 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: 11.8), 2018, 144: 469-482.
10. Peilin Song; Xiaomei Zheng, et al. Estimating reed loss caused by Locusta migratoria manilensis using UAV-based hyperspectral data, Science of the Total Environment (IF: 10.7), 2020, 719: 137519.
11. Peilin Song; Yongqiang Zhang*; Jing Tian. Improving surface soil moisture estimates in humid regions by an enhanced remote sensing technique. Geophysical Research Letters (IF: 5.5), 2021, 48(5).
12. 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 (IF:8.1), 2019, 57(10): 7643-7657.
13. 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 (IF: 6.5), 2019, 275: 146-158.
14. 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 (IF:5.3), 2021, 13(17):3522.
15. Xuanze Zhang*, Peilin Song. Estimating Urban Evapotranspiration at 10m Resolution Using Vegetation Information from Sentinel-2: A Case Study for the Beijing Sponge City, Remote Sensing (IF:5.3),2021, 13(11):2048.
16. Longhao Wang, Yongqiang Zhang*, Ning Ma, Peilin Song, Jing Tian, Xuanze Zhang, Zhenwu Xu.  Diverse responses of canopy conductance to heatwaves. Agricultural and Forest Meteorology (IF: 6.5), 2023,335: 109453.

专利授权： 

   1. 一种基于被动微波数据的地表土壤水分反演方法. CN 108982548 B. 2020. 2. 宋沛林，黄敬峰

科学数据发布：

     宋沛林, 张永强，姚盼盼，赵天杰. (2021). 中国1千米分辨率逐日全天候地表土壤水分数据集（2003-2022）. 国家青藏高原科学数据中心, DOI: 10.11888/Hydro.tpdc.271762. CSTR: 18406.11.Hydro.tpdc.271762. 2024年度全国十大最具价值共享开放遥感数据集成果奖。