1.    基本信息

2.    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助理研究员，《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1项，中国科学院“西部之光”青年人才项目1项。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20余篇，参编专著章节2章。2019年获《遥感技术与应用》优秀审稿人。

3.    研究方向

土壤水分遥感反演；微波遥感的不确定性量化；高分辨率农业遥感监测；

4.    工作履历

2016/07-现在，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；

5.    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；

6.    科研项目

1. 1.     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；

2. 2.     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；

3. 3.     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 ；

4. 4.     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 ；

5. 5.     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

7.    学术兼职

《遥感技术与应用》青年编委；

中国冰冻圈科学学会遥感与信息集成专业委员会秘书；

IEEE Lanzhou Chapter 筹备组秘书；

8.    奖励荣誉

2019年 《遥感技术与应用》优秀审稿人

9.    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. 1. 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.

2. 2. 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.

3. 3. 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.

4. 4. 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.

5. 5. 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.

6. 6. 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.

7. 7. 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.

8. 8. 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.

9. 9. 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.

10. 10. 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.

11. 11. 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.

12. 12. 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.

13. 13. 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.

14. 14. 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.

15. 15. 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.

16. 16. 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.

17. 17. 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.

18. 18. 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.

Conference papers

1. 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. 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. 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. 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. 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. 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 Chapter

1. 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. 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.