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个人简介

教育经历 2009.9 – 2012.6 北京师范大学,地图学与地理信息系统专业,博士 2010.9 – 2012.5 美国马里兰大学,地理系,联合培养博士 2006.9 – 2009.6 北京师范大学,地图学与地理信息系统专业,硕士 2002.9 – 2006.6 中南大学,测绘工程,学士 工作经历 2012.9-至今,北京师范大学 承担课程 《遥感数据的高级统计分析》,研究生专业方向课 《遥看土地》,本科生通识课 《地籍测量学》,本科生专业选修课 科研项目 国家自然科学基金重大项目“陆表智慧化定量遥感的理论与方法研究:基于遥感大数据的能量平衡参量智慧与反演”(42090012),专题主持,2021.1-2025.12 国家重点研发计划“山地生态系统全球变化关键参数立体观测与高分辨率产品研制:全球山地关键参数数据集产品综合分析与评价”(2020YFA0608700),专题主持,2020.12-2025.11 国家自然科学基金面上项目“提高全球陆表与海面净辐射遥感估算精度的关键科学问题研究”(41971291),主持,2020-2023 国家重点研发计划“全球气候数据集生成及气候变化关键过程和要素监测:全球净辐射遥感反演算法研究”(2016YFA0600101),专题主持,2016-2021 国家973计划“全球陆表能量和水分交换过程及其与全球变化相互作用的卫星观测与模拟研究:全球陆表净辐射反演算法研究与产品生成”(2015CB953701),专题主持,2017-2019 (已结题) 国家自然科学青年基金“基于遥感与其他多源数据的地表净辐射定量反演建模研究”(41401381),主持,2015-2017 (已结题) 国家863计划项目“全球生态系统与表面能量平衡特征参量生成与应用”(2013AA122801),专题主持,2013-2016 (已结题)

研究领域

定量遥感:遥感反演辐射能量平衡参量 遥感应用:遥感高级产品在土地利用/覆盖变化对气候影响研究中的应用,遥感产品的时间序列分析

近期论文

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第一作者或者通讯作者SCI论文 Liang, H., B. Jiang, et al. (2022). "A global long-term ocean surface daily/0.05° net radiation product from 1983–2020." Scientific Data 9(1): 337. Xu, J. L., S. Liang, B. Jiang, et al. (2022). "A global long-term (1981-2019) daily land surface radiation budget product from AVHRR satellite data using a residual convolutional neural network." Earth System Science Data 14(5): 2315-2341. Li, S., B. Jiang, et al. (2022). "Estimation of the All-Wave All-Sky Land Surface Daily Net Radiation at Mid-Low Latitudes from MODIS Data Based on ERA5 Constraints." Remote Sensing 14(1): 33. Peng, J., B. Jiang, et al. (2021). "A New Empirical Estimation Scheme for Daily Net Radiation at the Ocean Surface." Remote Sensing 13(20): 4170. Chen, H. K., B. Jiang, et al. (2021). "Evaluation of the J-OFURO3 Sea Surface Net Radiation and Inconsistency Correction." Remote Sensing 13(2403): 1-16. Xu, J., B. Jiang, et al. (2021). "Generating a High-Resolution Time-Series Ocean Surface Net Radiation Product by Downscaling J-OFURO3." IEEE transactions on geoscience and remote sensing 59(4): 2794-2809. Wang, Y., B. Jiang, et al. (2019). "Surface Shortwave Net Radiation Estimation from Landsat TM/ETM+ Data Using Four Machine Learning Algorithms." Remote Sensing 11(23): 2847. Jiang, B., S. Liang, et al. (2018). "Validation of the Surface Daytime Net Radiation Product From Version 4.0 GLASS Product Suite." IEEE Geoscience and Remote Sensing Letters 16(4): 509-513. Jiang, B., S. L. Liang, et al. (2016). "GLASS daytime all-wave net radiation product: algorithm development and preliminary validation." Remote Sensing 8(222): 17. Jia, A. L., B. Jiang, et al. (2016). "Validation and Spatiotemporal Analysis of CERES surface net radiation product." Remote Sensing 8(90): 19. Jiang, B., Y. Zhang, et al. (2015). "Empirical estimation of daytime net radiation from shortwave radiation and the other ancillary information " Agric. For. Meteorol. 211: 23-36. Jiang, B., S. L. Liang, et al. (2015). "Observational evidence for impacts of the vegetation changes in the three-north region in China on local surface climate using Granger Causality test." Journal of Geophysical Research - Biogeosciences 120(1): 1-12. Jiang, B., Y. Zhang, et al. (2014). "Surface Daytime Net Radiation Estimation using Artificial Neural Networks." Remote Sensing 6: 11031-11050. 著作章节 Jiang, B. and S. Liang (2019). Forest Cover Changes: mapping and climatic impact assessment. New Advanced Remote Sensing. Liang, S. (eds), Elsevier Press Jiang, B. and S. Liang (2017). Land Surface Net Radiation. Comprehensive Remote Sensing. S. Liang. Oxford, UK, Elsevier. 5: Earth's Energy Budget: 304-331. Zhu, X., Jiang, B., and S. Liang (2012). Land-cover and Land-use Changes. Advanced Remote Sensing: Terrestrial Information Extraction and Applications. Liang, S., Li. X., and Wang, J.. Oxford, UK, Elsevier. 703-764 江波,梁顺林 (2019). 森林覆盖变化:制图及其气候影响(定量遥感:理念与算法/梁顺林,王锦地等著,北京:科学出版社,待版) 江波,梁顺林,贾奥林,地表净辐射估算及其时空变化分析(全球变化遥感产品的生产与应用/梁顺林,张杰,陈利军等著,北京:科学出版社,2017.3)

学术兼职

担任《遥感科学与技术》青年编委;担任Remote Sensing of Environment, JGR-Atmosphere,IEEE GRSL,International Journal of Climatology,PLOS ONE,International Journal of Digital Earth, International Journal of Remote Sensing, IEEE JSTAR等多期刊审稿

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