姓名：马春锋 | 性别：男 | |
职称：副研究员，硕士生导师 | 学历/学位：研究生/理学博士 | |
职务：无 | ||
通讯地址：甘肃省兰州市城关区东岗西路320号 | ||
1. 个人简介
马春锋，中国科学院大学博士，阿卜杜拉国王科技大学博士后，中国科学院西北生态环境资源研究院副研究员，国科大硕士生导师，IEEE 高级会员，《遥感技术与应用》青年编委。主持完成国家自然科学基金青年项目、中国科学院“西部之光”青年人才项目、北京市水科院科技创新项目等。目前正在主持国家自然科学基金面上项目和中国科学院“西部之光”西部青年学者项目，参与基金委重点项目、中科院B类先导项目和甘肃省重点基金项目。长期从事微波遥感建模、地表参数反演和精准农业监测研究，主要学术成果包括：1）系统研究了土壤水分微波遥感的不确定性：①较早地将全局敏感性分析算法引入微波散射/辐射模型的参数敏感性分析之中，评估了由参数敏感性引起的模型不确定性，②系统探讨了引起微波散射模型不确定性的地表参数尺度效应问题；③率先发展了主、被动微波遥感及其联合的贝叶斯概率反演方法，量化了反演的不确定性；2）发展了基于真实热惯量方法的黑河流域土壤水分反演方法，获取了全流域的土壤热惯量和土壤水分空间分布；3）发展了基于高分辨率多源遥感（SAR与光学结合）的农田过程和参数监测方法；4）率先在中国西北寒区和旱区开展多尺度SMAP土壤水分产品评估。在IEEE TGRS等高质量期刊发表学术论文40余篇，参编专著章节2章，参与起草国家标准1项。2019年获《遥感技术与应用》优秀审稿人。
2. 研究方向
土壤水分遥感反演；微波遥感的不确定性量化；高分辨率农业遥感；
3. 工作履历
2023/02-现在，中国科学院西北生态环境资源研究院，副研究员，从事遥感地表参数估计与农业水安全研究；
2016/07-2023/1，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；
2018/07-2021/02，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；
2017/08-2017/10，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；
2007/07-2009/09，河南地矿局地球物理勘查队，助理工程师，从事固体矿产勘查；
4. 教育经历
2012/09-2016/07，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）；
2014/11-2014/12，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；
2009/09-2012/07，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）；
2003/09-2007/07，中国地质大学（武汉），工学学士，地球信息科学与技术；
5. 科研项目
1. 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”，项目负责人，2023/01-2026/12；
2. 中科院“西部之光”西部青年学者项目“寒旱区生态水文参数主被动微波遥感协同反演方法及应用”，项目负责人，2025/01-2027/12；
3. 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”，项目负责人，2018/01-2020/12；
4. 中科院“西部之光”青年人才项目“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”，项目负责人，2018/01-2020/12；
5. 北京市水科院科技创新项目”全市生态环境要素反演与专题产品生产”课题“北京市逐月10米分辨率土壤水分反演模型与产品生产” ，课题负责人，2022/01-2022/12;
6. 青海省重大科技专项“基于土壤污染多因素综合分析技术的湟水流域土壤污染物管控体系研究”课题“湟水河流域高分辨率土壤湿度指数数据研制”，课题负责人，2021/10-2022/12；
7. 中国科学院中国科学院基础与交叉前沿科研先导专项（B类先导专项）项目1课题1“冻土地下冰电磁极化原理与高精度识别技术”，课题联系人，2024.07-2029.06。
8. 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”，项目骨干，2016/07-2021/12 ；
9. 中欧“龙计划”合作项目4 期水文与冰冻圈项目ID32439,项目秘书，2016/07-2020/07 ；
10. 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
6. 学术兼职
《遥感技术与应用》青年编委；
IEEE 高级会员；
7. 奖励荣誉
2019年 《遥感技术与应用》优秀审稿人
8. 学术成果（论文、专著、专利等）
学术主页
Publons: https://publons.com/researcher/1372921/chunfeng-ma/
Researchgate: https://www.researchgate.net/profile/Chunfeng_Ma
Google Scholar: https://scholar.google.com/citations?hl=en&user=n5YrhfAAAAAJ
Peer-reviewed journal papers
1. Wang, W., Ma, C#., Wang, X., Feng, J., Dong, L., Kang, J., Jin, R., Li, X.. A soil moisture experiment for validating high-resolution satellite products and monitoring ihhigation at agricultural field scale. Agricultural Water Management 304, 109071, 2024
2. 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.
3. 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.
4. 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.
5. Ma CF*, Johnhansen K, McCabe MF. Monitoring Ihhigation Events and Crop Dynamics Using Sentinel-1 and Sentinel-2 Time Series. Remote Sensing, vol. 14, no. 5, pp. 1-21, 2022.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. Li, X., Liu, F., Ma, C., Hou, J., Zheng, D., Ma, H., Bai, Y., Han, X., Vereecken, H., Yang, K. Land data assimilation: Harmonizing theory and data in land surface process studies. Reviews of Geophysics 62, e2022RG000801, 2024.
15. 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.
16. 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
17. 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.
18. Du, S., Duan, P., Zhao, T., Wang, Z., Niu, S., Ma, C., Zou, D., Yao, P., Guo, P., Fan, D. An improved change detection method for high-resolution soil moisture mapping in permafrost regions. GIScience & Remote Sensing 61, 2310898, 2024.
19. Ge, Y., Han, F., Wu, F., Zhao, Y., Li, H., Tian, Y., Zheng, Y., Luan, W., Zhang, L., Cai, X. Sustainable decision making based on systems integration and decision support system promoting endorheic basin sustainability. Decision Support Systems 179, 114169, 2024.
20. Liu, F., Nie, X., Wu, A., Zhao, Z., Ma, C., Ning, L., Zhu, Y., Wang, L., Guo, X., Li, X.Data assimilation method for improving the global spatiotemporal predictions of epidemic dynamics yielded by an ensemble Kalman filter and Metropolis–Hastings sampling. Nonlinear Dynamics 111, 15573-15589, 2023.
21. Wang, Y., Leng, P., Ma, J., Manfreda, S., Ma, C., Song, Q., Shang, G.-F., Zhang, X., Li, Z.-L. Generation of root zone soil moisture from the integration of an all-weather satellite surface soil moisture estimates and an analytical model: A preliminary result in China. Journal of Hydrology 644, 132098, 2024.
22. Zeng, J., Peng, J., Zhao, W., Ma, C., Ma, H. Microwave Remote Sensing of Soil Moisture. MDPI, p. 4243, 2023.
23. Zhu, Y., Liu, F., Bai, Y., Zhao, Z., Ma, C., Wu, A., Ning, L., Nie, X. Effectiveness analysis of multiple epidemic prevention measures in the context of COVID-19 using the SVIRD model and ensemble Kalman filter. Heliyon, 9, 2023.
24. Zhang YR, Shang GF, Leng P, Ma CF, Ma JW, Zhang X, Li ZL. Estimation of quasi-full spatial coverage soil moisture with fine resolution in China from the combined use of ERA5-Land reanalysis and TRIMS land surface temperature product. Agricultural Water Management, vol. 275, pp. 107990, 2023
25. Zhao ZB, Jin R, Kang J, Ma CF, Wang WZ. Using of Remote Sensing-Based Auxiliary Variables for Soil Moisture Scaling and Mapping. Remote Sensing, vol. 14, no. 14, pp. 3373, 2022.
26. Wang B, Li X, Zhu GF, Huang CL, Ma CF, Tan MB, Zhong JT. Evaluating the Impact of Dynamic Changes in Grasslands on the Critical Ecosystem Service Value of Yanchi County in China from 2000 to 2015. Sustainability, vol. 14, no. 19, pp. 11762, 2022.
27. Wang B, Li X, C, Ma CF, Zhu GF, Luan WF, Zhong JT, Tan MB, Fu J. Uncertainty analysis of ecosystem services and implications for environmental management – An experiment in the Heihe River Basin, China. Science of The Total Environment, vol. 821, pp. 153481, 2022.
28. Liu F, Zhao ZB, Ma CF, Nie XW, Wu AD, Li X. Return to normal pre-COVID-19 life is delayed by inequitable vaccine allocation and SARS-CoV-2 variants. Epidemiology and Infection, vol. 150, pp. e46, 2022(SCI, IF=4.434).
29. Wang WZ, Dong LL, Ma CF, Wei L, Xu FN, Feng JJ. Experimental Investigation of Ground Radiation on Dielectric and Brightness Temperature of Soil Moisture and Soil Salinity. Sensors, 20, 2806, 2020.
30. Wang LL, Li X, Ma CF, Bai YL. Improving the prediction accuracy of monthly streamflow using a data-driven model based on a double-processing strategy. Journal of Hydrology, vol. 573, pp. 733-745, 2019.
31. Sun SB, Che T, Li HY, Wang TJ, Ma CF, Liu B, Wu YT Song ZL. Water and carbon dioxide exchange of an alpine meadow ecosystem in the northeastern Tibetan Plateau is energy-limited. Agricultural and Forest Meteorology, vol. 275, pp. 283-295, 2019.
32. Kang J, Jin R, Li X, Ma CF, Qin J, Zhang Y. High Spatio-temporal Resolution Mapping of Soil Moisture by Integrating Wireless Sensor Network Observations and MODIS Apparent Thermal Inertia in the Babao River Basin, China. Remote Sensing of Environment, vol. 191, pp. 232-245, 2017.
33. Zhao ZB, Li X, Liu F, Jin R, Ma CF, Huang B, Wu AD, Nie XW. Stringent Nonpharmaceutical Interventions Are Crucial for Curbing COVID-19 Transmission in the Course of Vaccination: A Case Study of South and Southeast Asian Countries. Healthcare, vol. 9, no. 10, pp. 1-18, 2021.
34. Zhao ZB, Li X, Liu F, Zhu GF, Ma CF, Wang LX. Prediction of the COVID-19 spread in African countries and implications for prevention and control: A case study in South Africa, Egypt, Algeria, Nigeria, Senegal and Kenya. Science of The Total Environment. Science of The Total Environment. vol. 729, pp. 1-10, 2020.
35. Menenti M, Li X, Jia L, Yang K, Pellicciotti F, Mancini M, Shi JC, Escorihuela MJ, Zheng CL, Chen QT, Lu J, Zhou J., Hu GC, Ren ST, Zhang J, Liu Q, Qiu Y, Huang CL, Zhou J, Han XJ, Pan XD, Li HY, Wu Y, Ding BH, Yang W, Buri, P, McCarthy MJ, Miles ES, Shaw TE, Ma CF, Zhou YZ, Corbari C, Li R, Zhao TJ, Stefan V, Gao Q, Zhang J, Xie Q, Wang N, Sun Y, Mo X, Jia J, Jouberton AP, Kneib M, Fugger S, Paciolla N, & Paolini G. Multi-Source Hydrological Data Products to Monitor High Asian River Basins and Regional Water Security. Remote Sensing, 13, 5122, 2021.
36. Menenti M, Jia L, Mancini M, Li X, Pellicciotti F, Yang K, Shi JC, Escorihuela MJ, Corbari,C, Ren ST, Ma CF, Zheng CL, Liu L, Shaw T, Ding BH, Yang W. High elevation energy and water balance: the roles of surface albedo and temperature. Journal of Geodesy and Geoinformation Science, vol. 3, no. 4, pp. 70, 2020.
37. Zhu YJ, Liu F, Bai YL, Zhao ZB, Ma CF, Wu AD, Ning LJ, Nie XW. Effectiveness analysis of multiple epidemic prevention measures in the context of COVID-19 using the SVIRD model and ensemble Kalman filter. Heliyon 9, 2023.
38. 马瀚青,张琨,马春锋,吴小丹,王琛,郑艺,朱高峰,袁文平,李新.参数敏感性分析在遥感及生态水文模型中的研究进展.遥感学报,26(2):286-298, 2022.
39. 王树果, 马春锋*, 赵泽斌, 魏龙. 基于Sentinel-1及Landsat-8的黑河中游农田土壤水分估算.遥感技术与应用,35(1):13-22,2020.
40. 马春锋,王维真,吴月茹,欧阳斌,庄金鑫.基于MODIS数据的黑河流域土壤热惯量反演研究,遥感技术与应用,27(2):197-207,2012.
41. 马春锋,王维真,吴月茹,张智慧.采用BBH模型模拟计算黑河中上游农田和草地的土壤水分研究, 冰川冻土,27(6):1294-1301,2011.
42. 魏龙,王维真,吴月茹,马春锋.土壤水盐介电模型对比与分析.遥感技术与应用,32(6):1022-1030,2017.
43. 杜绍杰, 赵天杰, 施建成, 马春锋, 邹德富, 王振, 姚盼盼, 彭志晴, 郑景耀. Sentinel-1 和 Sentinel-2 协同反演地表土壤水分. 遥感技术与应用 37, 1404-1413, 2023.
Peer-Reviewed Conference Papers
1. Ma CF, Li X, Hajnsek I, Wang HJ. A Preliminary Analysis of Component Polarimetric Decomposition Towards Soil Moisture Inversion in Oasis of the Northwest Arid Regions of China. IEEE International Geoscience and Remote Sensing Symposium 2016 (IGARSS 2016), 5272-5275, 2016.
2. Ma CF, Han XJ and Wang WZ. Soil Moisture Retrieval Using Thermal Inertia Method in Heihe River Basin, China. IEEE International Geoscience and Remote Sensing Symposium 2012 (IGARSS 2012), 694-697, 2012.
3. Wei L, Wang WZ, Ma CF, Wu YR. Comparison and Analysis of Dielectric Models Towards Soil Moisture and Salinity Estimations. IEEE International Geoscience and Remote Sensing Symposium 2017 (IGARSS 2017), 3471-3474, 2017.
4. Li X, Wang SG, Ma CF, Pan XD, Hao XH, Jin R, Cao YP, Liu SM, Huang CL. Development and Validation of Remote Sensing Products of Hydrological Cycle to Close Water Balance at River Basin Scale. IEEE International Geoscience and Remote Sensing Symposium 2016 (IGARSS 2016), 3818-3821, 2016.
5. Wu YR, Wang WZ, Zhuang JX, Ma CF, Liu SH, Wu LZ. Extraction of Saline Land Based on Decision Tree Approach Using Landsat TM Data. IEEE International Geoscience and Remote Sensing Symposium 2013 (IGARSS 2013), 3762-3765, 2013.
6. Wang J, Guo N, Ma CF. The Dynamic Variation Characteristic of Gahai Lake Area Based on EOS-MODIS Data. IEEE International Geoscience and Remote Sensing Symposium 2012 (IGARSS 2012), 768-771, 2012.
Book Chapters
1. Li X, Vereecken H, Ma CF. "Observing Ecohydrological Processes: Progress, Challenges and Perspectives," Observation and Measurement of Ecohydrological Processes, Ecohydrology. Li X and Vereecken H, eds., Berlin, Heidelberg: Springer, 2019.
2. Li X, Cheng GD, Ma CF, Ge, YC, Zhang ZH. "Field Experimental Design for Watershed Observing System," Observation and Measurement of Ecohydrological Processes, Ecohydrology. Li X and Vereecken H, eds., Berlin, Heidelberg: Springer, 2019.
National standard specifications of China
晋锐, 亢健, 马春锋, 朱忠礼, 冉有华, 赵天杰, 武胜利, 李新, 刘照言.土壤水分遥感产品真实性检验, GB/T 40039-2021. [Rui Jin, Jian Kang, Chunfeng Ma, Zhongli Zhu, Youhua Ran, Tianjie Zhao, Shengli Wu, Xin Li, Zhaoyan Liu. Specifications for validation of soil moisture remote sensing products, GB/T 40039-2021.]
