研究队伍
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简历：
工作经历
中国科学院西北生态环境资源研究院，副研究员，从事遥感地表参数反演与农业监测 2023/02-现在 沙特阿卜杜拉国王科技大学，博士后研究员，从事高分辨率农业遥感监测 2018/07-2021/02 中国科学院西北生态环境资源研究院，助理研究员，从事微波遥感地表参数建模与反演 2016/07-2023/01 瑞士苏黎世联邦理工学院，项目访问学者，开展水资源建模与管理合作研究 2017/08-2017/10 河南地矿局地球物理勘查队，地球物理工程师，从事固体矿产勘查 2007/07-2009/09 教育经历 中国科学院大学，理学博士，地图学与地理信息系统专业（土壤水分微波遥感） 2012/09-2016/07 中国科学院研究生院，理学硕士 地图学与地理信息系统专业（土壤水分反演与模拟） 2009/09-2012/07 中国地质大学（武汉），工学学士，地球信息科学与技术 2003/09-2007/07 瑞士苏黎世联邦理工学院，访问博士生，极化雷达遥感及其应用 2014/11-2014/12本科生
研究领域：
地图学与地理信息系统（遥感科学与技术）
职称：
副研究员
职务：获奖及荣誉：
IEEE Senior Member，《遥感技术与应用》优秀审稿人（2019）
代表论著：
1. Ma CF, Li X*, Wang SG, Wang ZY, Che T, Jin R, Wang WZ. Quantifying Uncertainties in Passive Microwave Remote Sensing of Soil Moisture via a Bayesian Probabilistic Inversion Method. IEEE Transactions on Geoscience and Remote Sensing, vol. 60,1-19, 2022 (SCI, JCR Q1, Top, IF=8.125).
2. Ma CF, Li, X*, Zhao ZB, Liu F, Zhang K, Wu AD, Nie XW. Understanding the dynamics of pandemic models to support predictions of COVID-19 transmission: Parameter sensitivity analysis of the SIR-type model. IEEE Journal of Biomedical and Health Informatics, vol.26, no.6, pp.2458-2468, 2022 (SCI, JCR Q1, Top, IF=7.021). 3. Ma CF*, Johnhansen K, McCabe MF. Combining Sentinel-2 data with an optical-trapezoid approach to infer within-field soil moisture variability and monitor agricultural production stages. Agricultural Water Management, vol.274, pp.107942, 2022 (SCI, JCR Q1, Top, IF=6.611). 4. Ma CF*, Johnhansen K, McCabe MF. Monitoring Irrigation Events and Crop Dynamics Using Sentinel-1 and Sentinel-2 Time Series. Remote Sensing, vol. 14, no. 5, pp. 1-21, 2022 (SCI, JCR Q1, IF=5.349). 5. Ma CF*, Wang SG, Zhao ZB, Ma HQ. Global Sensitivity Analysis of a Water Cloud Model toward Soil Moisture Retrieval over Vegetated Agricultural Fields. Remote Sensing, vol. 13, no. 19, pp. 1-19, 2021 (SCI, JCR Q1, IF=5.349). 6. Ma CF*, Li X, McCabe M F. Retrieval of High-Resolution Soil Moisture through Combination of Sentinel-1 and Sentinel-2 Data. Remote Sensing, vol. 12, no. 14, pp. 2303, 2020 (SCI, JCR Q1, IF=5.349). 7. Ma CF, Li X*, Chen K-S. The Discrepancy Between Backscattering Model Simulations and Radar Observations Caused By Scaling Issues: An Uncertainty Analysis. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 6, pp 3-94-3207, 2019 (SCI, JCR Q1, Top, IF=8.125). 8. Ma CF, Li X*, Notarnicola C, Wang SG, Wang WZ. Uncertainty Quantification of Soil Moisture Estimations Based on a Bayesian Probabilistic Inversion. IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 6, pp 3-94-3207, 2017 (SCI, JCR Q1, Top, IF=8.125). 9. Ma CF, Li X*, Wang J, Wang C, Duan QY, Wang WZ. A Comprehensive Evaluation of Microwave Emissivity and Brightness Temperature Sensitivities to Soil Parameters Using Qualitative and Quantitative Sensitivity Analyses. IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 2, pp. 1025-1038, 2017 (SCI, Q1, Top, IF=8.125). 10. Ma CF, Li X*, Wei L, Wang WZ. Multi-Scale Validation of SMAP Soil Moisture Products Over Cold and Arid Regions in Northwestern China Using Distributed Ground Observation Data. Remote Sensing, vol. 9, 327, doi:10.3390/rs9040327, 2017 (SCI, JCR Q1, IF=5.349). 11. Ma CF, Li X*, Wang SG. A Global Sensitivity Analysis of Soil Parameters Associated with Backscattering Using the Advanced Integral Equation Model. IEEE Transactions on Geoscience and Remote Sensing, vol. 53, pp. 5613-5623, 2015 (SCI, JCR Q1, Top, IF=8.125). 12. Ma CF, Wang WZ*, Han XJ, Li X. Soil Moisture Retrieval in the Heihe River Basin Based on the Real Thermal Inertia Method. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, pp. 1460-1467, 2013 (SCI, JCR Q1, IF=4.715). 13. Ma HQ, Ma CF*, Li X, Yuan WP, Liu ZJ, Zhu GF. Sensitivity and Uncertainty Analyses of Flux-based Ecosystem Model towards Improvement of Forest GPP Simulation. Sustainability, 12, 2584, 2020 (SCI, JCR Q1, IF=3.889). 14. Luan WF, Lu L, Li X, Ma CF*. Integrating Extended Fourier Amplitude Sensitivity Test and Set Pair Analysis for Sustainable Development Evaluation from the View of Uncertainty Analysis. Sustainability, doi:10.3390/su10072435, 10, 7, 2435, 2018 (SCI, JCR Q1, IF=3.889). 15. Luan WF, Lu L, Li X, Ma CF*. Weight Determination of Sustainable Development Indicators Using a Global Sensitivity Analysis Method. Sustainability, doi: 10.3390/su9020303, 9, 303, 2017 (SCI, JCR Q1, IF=3.889).
承担科研项目情况：
国家自然科学基金面上项目“模型与数据协同驱动的土壤水分主被动微波遥感联合反演方法研究”，主持 2023/01-2026/12
国家自然科学基金青年项目“主被动微波遥感联合的土壤水分概率反演方法研究”，主持 2018/01-2020/12 中科院“西部之光”人才项目“主被动微波遥感联合反演土壤水分中粗糙度参数化方法研究”，主持 2018/01-2020/12 北京市水科院全市生态环境要素反演与专题产品生产项目“高分辨率土壤水分反演”专题， 主持 2022/01-2022/12 青海省重大科技专项课题“湟水河流域高分辨率土壤湿度指数数据研制”，主持 2021/10-2022/12 中国科学院前沿科学重点研究项目“全球水循环关键参数反演理论及方法研究”，骨干 2016/07-2021/12 中科院A 类战略性先导专项“泛第三极环境变化与绿色丝绸之路建设”联合攻关课题3，课题秘书 2018.01-2022/12 高分辨率对地观测重大专项“高分共性产品真实性检验关键技术研究与标准规范编制”，骨干 2019/06-2022/12 国家自然科学基金重点项目“深度学习融合遥感大数据的陆地水文数据同化理论、方法与集成技术”，骨干 2022/01-2026/12
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