杨磊库（1980.04-，陕西咸阳人），教授/博士，博士生导师，中国环境科学学会环境信息系统与遥感专业委员会第二届委员会委员。长期聚焦于卫星气溶胶定量反演机理和风云卫星气溶胶产品算法研究，感兴趣领域包括：风云卫星定量应用、地表BRDF与地-气辐射传输建模、遥感空气质量监测。

主讲《遥感原理与应用》、《定量遥感》、《大气遥感》、《高级遥感技术》、《遥感图像分析》等课程。目前已指导硕/博士研究生33名，其中1人获河南省“优秀硕士学位论文”，5人获河南理工大学“优秀硕士学位论文”，2人获河南理工大学“全日制硕士专业学位研究生优秀实践成果”。

电子邮箱：yanglk@hpu.edu.cn

1. 工作与学习经历

2005.07～今：河南理工大学，测绘与国土信息工程学院，遥感科学与技术系，教师

2010.09～2013.06：北京师范大学，地理学与遥感科学学院，地图学与地理信息系统专业，博士；中国科学院遥感与数字地球研究所，客座博士

2002.09～2005.07：中国矿业大学，环境与测绘学院，摄影测量与遥感专业，硕士

1998.09～2002.07：河南理工大学，测量工程专业，学士

2. 教研获奖

[1] 2019.5：河南省优秀硕士学位论文指导教师

[2] 2019.7 / 2023.9：河南理工大学优秀教师

[3] 2020.5：新一代风云气象卫星科学算法创新大赛 一等奖

3. 目前从事科研工作简介

[1] 开发了基于国产风云三号卫星MERSI传感器的海洋与陆地气溶胶反演算法，被中国气象局国家卫星气象中心采纳用于业务化气溶胶产品生产，并通过风云卫星遥感数据服务网（https://satellite.nsmc.org.cn/PortalSite/Data/Satellite.aspx）公开发布，产品结果验证达到国际同类型产品精度要求。

[2] 以NASA MODIS陆地气溶胶产品暗目标算法为平台，发展并构建了基于非朗伯前向模型的气溶胶反演新算法，AOD验证精度显著提高，并使得Ångstrom指数反演结果更有意义和验证性。

4. 科研项目

[1] 国家自然科学基金（面上项目），风云三号MERSI近红外波段高亮地表气溶胶反演研究（项目编号：42471424），2025.01至2028.12，主持

[2] 国家自然科学基金（面上项目），风云三号D星MERSI-II高分辨率陆地气溶胶反演研究（项目编号：41975036），2020.01至2023.12，主持

[3] 国家自然科学基金（青年项目），基于非朗伯前向模型的MODIS陆地上空气溶胶遥感反演研究（项目编号：41401403），2015.01至2017.12，主持

[4] 中国气象局风云卫星应用先行计划（三期）项目（FY-AAP），FY-3 MERSI高分辨率气溶胶与地表同步反演研究，2024.01至2025.12，主持

[5] 国家自然科学基金（面上项目），协同高分五号DPC多维观测的陆地上空气溶胶反演研究（项目编号：42075132），2020.01至2023.12，参与/第2

[6] 国家自然科学基金（与英国皇家学会合作交流项目），面向空气质量评估的MERSI-II卫星影像分类与高分辨率气溶胶反演（项目编号：42011530174），2020.04至2022.03，参与/第2

[7] 河南省科技攻关项目，中国中东部城市上空气溶胶遥感反演与时空分布研究（项目编号：162102310089），2016.01至2019.12，主持

[8] 国家自然科学基金（青年项目），基于地表-大气逐次解耦的陆地上空气溶胶偏振反演研究（项目编号：41601392），2017.01至2019.12，参与/第2

[9] 国家自然科学基金（青年项目），基于半监督随机森林的城市地表覆盖主被动遥感数据协同分类研究（项目编号：41601450），2017.01至2019.12，参与/第4

5. 代表性论文

[1] Xin Pei, Leiku Yang(*), Weiqian Ji, Shuang Chen, Xiaoqian Cheng, Xiaofeng Lu, Hongtao Wang. Applying the Dark Target Aerosol Algorithm to MERSI-II: Retrieval and Validation of Aerosol Optical Depth over the Ocean, Advances in Atmospheric Sciences, 2024, 41(12), 2446-2463

[2] Leiku Yang(*), Weiqian Ji(*), Xin Pei, Yidan Si, Huan Liu, Shuang Chen, Chen Zhang, Xiaoqian Cheng, Xiaofeng Lu & Hongtao Wang. Global evaluation of Fengyun-3 MERSI dark target aerosol retrievals over land. International Journal of Digital Earth, 2024, 17(1), 1-24

[3] Weiqian Ji, Leiku Yang(*), Xinyao Tian, Muhammad Bilal, Xin Pei, Yu Zheng, Xiaofeng Lu, Xiaoqian Cheng. Long-term validation and error analysis of DB and MAIAC aerosol products over bright surface of China. Atmospheric Research, 2024, 297: 107106

[4] Yidan Si, Lin Chen, Yuanyuan Wang, Na Xu, Xingying Zhang, Leiku Yang, Xiuqing Hu, Shuaiyi Shi. An Improved Aerosol Retrieval Algorithm Based on Nonlinear Surface Model from FY-3D/MERSI-II Remote Sensing Data. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-17

[5] Xin Pei, Leiku Yang(*), Weiqian Ji, Xiaoqian Cheng, Xiaofeng Lu. Global validation and comparison of MODIS DT and POLDER-3 GRASP aerosol products over ocean. Atmospheric Research, 2023, 281: 106480

[6] Yidan Si, Lin Chen, Zhaojun Zheng, Leiku Yang, Fu Wang, Na Xu, and Xingying Zhang. A Novel Algorithm of Haze Identification Based on FY3D/MERSI-II Remote Sensing Data. Remote Sensing. 2023, 15(2): 438

[7] Xin Su, Lunche Wang, Mengdan Cao, Leiku Yang, Ming Zhang, Wenmin Qin, Qian Cao, Yikun Yang, Lei Li. Fengyun 4A Land Aerosol Retrieval: Algorithm Development, Validation, and Comparison With Other Datasets. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-16

[8] 周为伟, 胡秀清, 杨磊库. 基于Himawari-8卫星成像仪的深对流云BRDF特性建模. 光学学报, 2023, 43(12): 1228007

[9] Ye Feng, Leiku Yang, Pengfei Zhan, Shuangxiao Luo, Tan Chen, Kai Liu & Chunqiao Song. Synthesis of the ICESat/ICESat-2 and CryoSat-2 observations to reconstruct time series of lake level. International Journal of Digital Earth, 2023 16 (1), 183-209

[10] 杨磊库,胡秀清,王涵,何兴伟,刘培,徐娜,杨忠东,张鹏. 风云三号D星MERSI-II陆地气溶胶反演定量能力评估. 遥感学报, 2022, 26（5）: 923-940, 入选《遥感学报》2023年度优秀论文

[11] Leiku Yang(*), Xinyao Tian, Chao Liu, Weiqian Ji, Yu Zheng, Huan Liu, Xiaofeng Lu, and Huizheng Che. Evaluation and Comparison of MODIS C6 and C6.1 Deep Blue Aerosol Products in Arid and Semi-Arid Areas of Northwestern China. Remote Sensing, 2022; 14(8):1935

[12] Yingxi R. Shi (*), Robert C. Levy, Leiku Yang (*), Lorraine A. Remer, Shana Mattoo, and Oleg Dubovik, A Dark Target research aerosol algorithm for MODIS observations over eastern China: increasing coverage while maintaining accuracy at high aerosol loading. Atmospheric Measurement Techniques, 2021, 5(14), 3449–3468

[13] 朱吉彪，胡秀清，杨磊库 (*)，徐寒列，徐娜，张鹏. FY-3C/VIRR中红外图像太阳光污染订正. 遥感学报，2021，25（3）：803-815

[14] 陶炳成，胡秀清，杨磊库，张璐，陈林，徐娜，王玲，吴瑞强，张督锋，张鹏. 无人机平台的沙漠场地BRDF特征观测方法及建模.遥感学报，2021, 25（9）: 1964-1977

[15] Chao Liu, Leiku Yang (*), Huizheng Che (*), Xiangao Xia, Hujia Zhao, Hong Wang, etc., Aerosol Optical Properties over an Urban Site in Central China Determined Using Ground-based Sun Photometer Measurements, Aerosol and Air Quality Research. 2019, 19: 620~638

[16] Zhongdong Yang, Peng Zhang, Songyan Gu, Xiuqing Hu, Shihao Tang, Leiku Yang et al. Capability of Fengyun-3D satellite in earth system observation. Journal of Meteorological Research. 2019, 33(6): 1113–1130

[17] Huizheng Che (*), Leiku Yang (*), Chao Liu, Xiangao Xia, Yaqiang Wang, Hong Wang, Han Wang, Xiaofeng Lu, Xiaoye Zhang, Long-term validation of MODIS C6 and C6.1 Dark Target aerosol products over China using CARSNET and AERONET, Chemosphere. 2019, 236: 1-11

[18] Han Wang, Leiku Yang, Zhao, M., Du, W., Liu, P., & Sun, X., The normalized difference vegetation index and angular variation of surface spectral polarized reflectance relationships: Improvements on aerosol remote sensing over land. Earth and Space Science, 2019, 6: 982– 989

[19] Che, H., Xia, X., Zhao, H., Dubovik, O., Holben, B. N., Goloub, P., Cuevas-Agulló, E., Estelles, V., Wang, Y., Zhu, J., Qi, B., Gong, W., Yang, H., Zhang, R., Yang, Leiku, Chen, J., Wang, H., Zheng, Y., Gui, K., Zhang, X., and Zhang, X., Spatial distribution of aerosol microphysical and optical properties and direct radiative effect from the China Aerosol Remote Sensing Network, Atmos. Chem. Phys., 2019, 19: 11843–11864

[20] Xingfeng Chen, Zhengqiang Li, Shaoshuai Zhao, Leiku Yang (*), Yan Ma, Li Liu, Donghui Li, Lili Qie, and Jin Xing, Using the Gaofen-4 geostationary satellite to retrieve aerosols with high spatiotemporal resolution, Journal of Applied Remote Sensing 2018, 12(4): 042606

[21] Bangyu Ge, Zhengqiang Li, Li Liu, Leiku Yang, Xingfeng Chen, Weizhen Hou, Yang Zhang, Donghui Li, Li Li, Lili Qie, A Dark Target Method for Himawari-8/AHI Aerosol Retrieval: Application and Validation, IEEE Transactions on Geoscience and Remote Sensing, 2018, 57(1): 381-394

[22] Fanglin Shi, Jinyuan Xin(*), Leiku Yang(*), Zhiyuan Cong, Ruixia Liu, Yining Ma, Yuesi Wang, Xiaofeng Lu, Lei Zhao. The first validation of the precipitable water vapor of multisensor satellites over the typical regions in China, Remote Sensing of Environment. 2018, 206: 107~122

[23] 葛邦宇, 杨磊库(*), 陈兴峰, 李正强, 梅笑冬, 刘李, 基于暗目标法的Himawari-8静止卫星数据气溶胶反演研究, 遥感学报, 2018, 22(1) : 38~50, 入选《遥感学报》2019年度优秀论文

[24] 王涵, 杨磊库, 都伟冰, 刘培, 孙晓兵, 基于航空偏振遥感数据反演陆地上空气溶胶光学厚度, 光谱学与光谱分析, 2018, 38(4): 1~6

[25] Yu Zheng, Huizheng Che(*), Leiku Yang, Jing Cheng, Yaqiang Wang, Xiangao Xia. Optical and Radiative Properties of Aerosols during a Severe Haze Episode over the North China Plain in December 2016, Journal of Meteorological Research, 2017, 31(6): 1045~1061

[26] Leiku Yang, Yong Xue(*), Jie Guang, Hassan Kazemian, Jiahua Zhang, Chi Li. Improved Aerosol Optical Depth and Angstrom Exponent Retrieval Over Land From MODIS Based on the Non-Lambertian Forward Model , IEEE Geoscience and Remote Sensing Letters, 2014, 11(9): 1629~1633

[27] Leiku Yang, Yong Xue(*), Jie Guang, Chi Li, Xingwei He, Jing Dong, Tingting Hou. Uncertainty from Lambertian surface assumption in satellite aerosol retrieval. 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012, July 22, 2012 - July 27, 2012, Munich, Germany, 2012

[28] Leiku Yang(*), Yong Xue, Jie Guang, Chi Li, Xingwei He. Satellite aerosol retrieval using dark target algorithm by coupling BRDF effect over AERONET site. Remote Sensing of the Atmosphere, Clouds, and Precipitation IV, October 29, 2012 -October 31, 2012, Kyoto, Japan, SPIE, 2012