雷洋              


中国科学院国家空间科学中心项目研究员            

国家青年人才项目获得者            

IEEE高级会员            

《IEEE Transactions on Geoscience and Remote Sensing》"雷达遥感"领域副主编

                               

电子邮件: leiyang@nssc.ac.cn
通信地址: 北京市怀柔区杨雁路京密北二街 空间中心A座819
邮政编码: 101499

研究领域

雷洋研究员及其团队专注于电磁散射机理模型、雷达信号处理、遥感参数反演算法,在微波雷达环境遥感领域,特别是新体制(干涉、极化、层析)合成孔径雷达遥感森林、积雪、极地冰盖、行星次表面层等领域有多年的积累和深入研究。首次实现了星载干涉雷达(InSAR)快速大规模测量森林高度和定量遥感森林变化与干扰(增长、退化以及选择性砍伐)。提出了积雪的InSAR电磁散射机理模型并用层析(TomoSAR)与干涉反演积雪参数。提出了高效的冰川流速测量方法,和针对雷达探测地外行星的大规模电磁散射仿真算法。主持、参加多个国际项目并涉及NISAREuropa Clipper等国际卫星任务以及ITS_LIVE等国际科研项目,开发的遥感自动化软件被国际科研单位广泛使用。回国后作为项目首席科学家主持与土壤、植被、冰雪自然散射体三维观测相关的国家重点研发计划。



研究兴趣

  • 合成孔径雷达 (SAR), 干涉 SAR (InSAR), 极化干涉 SAR (PolInSAR) 和 层析 SAR (TomoSAR) 数据处理及遥感应用;

  • 基于物理模型的参数定量反演算法开发,应用于雷达遥感陆表体散射目标(随机复杂介质)参数的观测量(如森林、积雪、冰川、行星次表面层)

  • 雷达遥感理论和仿真(电磁散射模型和仿真算法),应用于地球和行星遥感

  • 自动化雷达遥感软件开发

  • 大规模遥感算法/产品的验证,利用多种不同载荷的遥感数据(包括星载—机载雷达、激光雷达、被动光学相机、地面站观测数据等)



研究内容

  • 星载InSAR快速大规模测量森林高度(生物量)和定量遥感森林变化与干扰

  • 积雪的InSAR/TomoSAR电磁散射机理模型及参数反演

  • SAR/InSAR遥感冰冻圈要素如冰川流速和冰盖厚度及内部分布

  • 雷达探测行星次表层的大规模电磁散射仿真及内部参数反演


招生信息

   
招生专业
080904-电磁场与微波技术
招生方向
雷达环境遥感

教育背景

2010-09--2016-02   美国马萨诸塞大学阿默斯特分校(UMass Amherst)   工学博士
2008-09--2010-05   美国马萨诸塞大学阿默斯特分校(UMass Amherst)   工学硕士
2004-09--2008-07   北京航空航天大学   工学学士

工作经历

   
工作简历
2021-12~现在, 中国科学院国家空间科学中心, 项目研究员
2019-02~2021-11,美国加州理工学院地质与行星科学部, 副研究科学家
2018-04~2019-02,美国加州理工学院地质与行星科学部, 博士后
2016-04~2018-04,美国宇航局(NASA)喷气推进实验室(JPL), NASA荣誉博士后
社会兼职
2022-08-16-今,美国电气电子工程师协会(IEEE), 高级会员(Senior Member)
2022-06-01-今,IEEE Transactions on Geoscience and Remote Sensing, 领域副主编(Topical Associate Editor)

出版信息

   
期刊论文
(1) Processing methodology for the ITS_LIVE Sentinel-1 ice velocity products, Earth System Science Data, 2022, 通讯作者
(2) Dry Snow Parameter Retrieval With Ground-Based Single-Pass Synthetic Aperture Radar Interferometry, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 通讯作者
(3) Validation of a Pseudospectral Time-Domain (PSTD) Planetary Radar Sounding Simulator With SHARAD Radar Sounding Data, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 通讯作者
(4) Estimating Forest Stand Height in Savannakhet, Lao PDR Using InSAR and Backscatter Methods with L-Band SAR Data, REMOTE SENSING, 2021, 第 5 作者
(5) Automated estimation of forest height and underlying topography over a Brazilian tropical forest with single-baseline single-polarization TanDEM-X SAR interferometry, REMOTE SENSING OF ENVIRONMENT, 2021, 通讯作者
(6) Autonomous Repeat Image Feature Tracking (autoRIFT) and Its Application for Tracking Ice Displacement, REMOTE SENSING, 2021, 通讯作者
(7) A 2-D Pseudospectral Time-Domain (PSTD) Simulator for Large-Scale Electromagnetic Scattering and Radar Sounding Applications, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 通讯作者
(8) Generation of Large-Scale Moderate-Resolution Forest Height Mosaic With Spaceborne Repeat-Pass SAR Interferometry and Lidar, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 通讯作者
(9) Quantification of selective logging in tropical forest with spaceborne SAR interferometry, REMOTE SENSING OF ENVIRONMENT, 2018, 通讯作者
(10) Detection of Forest Disturbance With Spaceborne Repeat-Pass SAR Interferometry, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 通讯作者
(11) Tropical-Forest Structure and Biomass Dynamics from TanDEM-X Radar Interferometry, FORESTS, 2017, 第 2 作者
(12) A physical scattering model of repeat-pass InSAR correlation for vegetation, WAVES IN RANDOM AND COMPLEX MEDIA, 2017, 第 1 作者
(13) A dense medium electromagnetic scattering model for the InSAR correlation of snow, RADIO SCIENCE, 2016, 第 1 作者
(14) An Automatic Mosaicking Algorithm for the Generation of a Large-Scale Forest Height Map Using Spaceborne Repeat-Pass InSAR Correlation Magnitude, REMOTE SENSING, 2015, 第 1 作者
(15) Estimation of Forest Height Using Spaceborne Repeat-Pass L-Band InSAR Correlation Magnitude over the US State of Maine, REMOTE SENSING, 2014, 第 1 作者
会议论文

  1. Y. Lei, P. Siqueira, “Refined forest stand height inversion approach using spaceborne repeat-pass L-band SAR interferometry and GEDI lidar data,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, 2022.
  2. Y. Lei, A. Gardner, and P. Agram, “A fast dense feature tracking routine with its application in cryosphere remote sensing using Sentinel-1 and Landsat-8 data,” IGARSS, Hawaii, 2020.
  3. Y. Lei, M. Haynes, D. Arumugam, and C. Elachi, “A pseudospectral time-domain simulator for large-scale half-space electromagnetic scattering and radar sounding applications,” IGARSS, Hawaii, 2020.
  4. Y. Lei, R. Robert, and F. Goncalves, “Tropical forest height and underlying topography from TanDEM-X SAR Interferometry,” IGARSS, Hawaii, 2020.
  5. X. Xu, C. Baldi, J.W. De Bleser, Y. Lei (lead for SAR data processing and snow inversion algorithms), S. Yueh, and D. Esteban-Fernandez, “Multi-frequency Tomography Radar Observations of Snow Stratigraphy at Fraser during SnowEx,” IGARSS, Valencia, 2018.
  6. Y. Lei, R. Treuhaft, R. Lucas, P. Siqueira, M. Keller, M. Schmidt, “Large-scale fine-resolution products of forest disturbance using new approaches from spaceborne SAR interferometry,” IGARSS, Fort Worth, 2017.
  7. Y. Lei, P. Siqueira, Nathan Torbick, D. Chowdhury, W. Salas, R. Treuhaft, “Large-scale fine-resolution product of forest height using a new approach from spaceborne repeat-pass SAR interferometry and lidar,” IGARSS, Fort Worth, 2017(session chair).
  8. Y. Lei, P. Siqueira, D. Chowdhury, Nathan Torbick, “Generation of large-scale forest height mosaic and forest disturbance map through the combination of spaceborne repeat-pass InSAR coherence and airborne lidar,” IGARSS, Beijing, 2016.
  9. Y. Lei, P. Siqueira, “A dense-medium InSAR correlation model with its application to the problem of snow characteristics retrieval,” IGARSS, Milan, 2015.
  10. Y. Lei, P. Siqueira, “An automatic mosaicking algorithm for generating a large-scale forest stand height map using spaceborne repeat-pass InSAR coherence,” IGARSS, Quebec, 2014.
  11. Y. Lei, P. Siqueira, D. Clewley, and R. Lucas, “Observation of vegetation vertical structure and distribution using L-band InSAR over the Injune region in Australia,” IGARSS, Munich, 2012.
  12. Y. Lei, R. Mettu, “A confidence measure for model fitting with X-ray crystallography data,” ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics, Washington DC, 2013.
  13. Y. Lei, X. Xu, “Spectrum-Division Analysis of Precursor Fields Propagating in Dispersive Media”, IET International Radar Conference, Guilin, China, April, 2009.


科研活动

   
在研项目
( 1 ) 合成孔径雷达陆表环境遥感, 负责人, 国家任务, 2022-01--2024-12
( 2 ) Generation of large-scale forest height/biomass and change/disturbance products by leveraging JAXA’s ALOS-2/ALOS-4 InSAR data in fusion with MOLI lidar data, Japan Aerospace Exploration Agency (JAXA) 3rd Research Announcement on the Earth Observations, PI, 负责人, 其他任务, 2022-02--2025-01
( 3 ) Monitoring large-scale forest change and disturbance with TanDEM-X SAR interferometry, German Aerospace Center (DLR) TerraSAR-X/TanDEM-X CoSSC Data Proposal, PI, 负责人, 其他任务, 2021-10--2024-09
( 4 ) 面向国产卫星的土壤—植被—冰雪三维遥感机理建模与定量反演技术, 负责人, 国家任务, 2023-01--2026-12
特邀报告

  1. Y. Lei, “Large-scale forest height and disturbance mapping through spaceborne SAR interferometry (InSAR): on the fusion of NISAR and GEDI along with TanDEM-X/L,” NASA/JPL Carbon Club, Radar Forum and Postdoc Seminar Series (presented at three events), Pasadena, 2018.
  2. Y. Lei, R. Treuhaft, P. Siqueira, N. Torbick, R. Lucas, M. Keller, M. Schmidt, M. Ducey, W. Salas, “Generation of large-scale forest height and disturbance maps through the fusion of NISAR and GEDI along with TanDEM-X/L,” AGU Fall Meeting, New Orleans, 2017.
  3. C. Baldi, J.W. De Bleser, K. Elder, D. Esteban-Fernandez, B. Starr, X. Xu, Y. Lei (presenting author and lead for SAR data processing and snow inversion algorithms) and S. Yueh, “Preliminary Results from Fielding an In Situ Three-Frequency Tomographic Radar on Snowpack,” NASA SnowEx Workshop, Longmont, Colorado, 2017.
  4. Y. Lei, “Automated generation of large-scale high-resolution forest height and disturbance maps for NISAR-like missions,” NASA/JPL NISAR Science Definition Team Meeting, Pasadena, 2017.
  5. Y. Lei, R. Treuhaft, P. Siqueira, R. Lucas, M. Keller, M. Schmidt, M. Neumann, F. Goncalves, “Detection of forest disturbance using spaceborne single-pass and repeat-pass SAR interferometry,” ESA PolInSAR meeting, Rome, Italy, 2017.
  6. Y. Lei, “Electromagnetic scattering models of InSAR correlation for vegetation and snow,” NASA/JPL Radar Forum, Pasadena, 2015.
  7. P. Siqueira, Y. Lei (presenting author), “Repeat-pass InSAR processing for Vegetation Height Calculation: Theory and a validated example,” AGU Fall Meeting, San Francisco, 2014.


获奖荣誉

  • 2021, 国家青年人才项目获得者, 国家自然科学基金委

  • 2021, NISAR Team Award, 美国宇航局(NASA/JPL), NISAR卫星任务对流层模型遴选组排第4位(共9人)

  • 2017, 优秀博士论文奖(Dissertation Award),马萨诸塞大学阿默斯特分校(UMass Amherst)电气与计算机工程(ECE)系,全系每年1位

  • 2016, NASA Postdoctoral Program (NPP), 美国宇航局(NASA), 世界范围申请总池录取率2%

  • 2013, 博士生展板比赛第二名,马萨诸塞大学阿默斯特分校(UMass Amherst)电气与计算机工程(ECE)系,全系第二名

  • 2012, NASA Earth and Space Science Fellowship (NESSF), 美国宇航局(NASA), 全美范围录取率18.8%

部分主持、参与过的项目


  • Multilayer Forward Model Using SnowEx and TomoSAR Datasets at X/Ku-band ,美国宇航局(NASA),NASA Terrestrial Hydrology Program (ROSES 2017 A.25) ,2018-2020 ,联合负责人(Co-I)

  • Generation of the Global Forest Height and Disturbance Maps through the Fusion of NISAR and GEDI: to Regain the Promise of DESDynI ,美国宇航局(NASA),NASA Postdoctoral Program (NPP) ,2016-2018 ,项目负责人(博士后)

  • Determination of Vegetation Vertical Structural Profile and Changes for DESDynI-like missions Utilizing InSAR and PolInSAR Techniques ,美国宇航局(NASA),NASA Earth and Space Science Fellowship (NESSF) ,2012-2015,项目负责人(博士生)


软件开发

  • 自动化重轨图像目标偏移跟踪 autonomous Repeat Image Feature Tracking (autoRIFT), 开源网址: https://github.com/nasa-jpl/autoRIFT

  • 雷达/光学图像到地图投影坐标的地理编码器 Geogrid (geocoding software for mapping between [pixel index, offset] in radar/optical image coordinates and [geolocation, velocity] in map coordinates), 开源网址: https://github.com/leiyangleon/Geogrid

  • 伪谱时域大规模电磁散射与雷达探测仿真器 Pseudospectral Time-domain (PSTD) large-scale electromagnetic scattering / radar sounding simulator, 开源网址: https://github.com/leiyangleon/PSTD

  • 快速大规模森林高度反演与拼接 Forest Stand Height (FSH) inversion and mosaicking software, 开源网址: https://github.com/leiyangleon/FSH

国际合作

雷洋研究员在国外学习、工作多年,在以上研究内容和科研项目上都有丰富的科研合作关系积累,方便开展国际合作和国际学术交流。20102016年于马萨诸塞大学阿默斯特分校 (UMass Amherst) 电气与计算机工程系 (ECE) 就读博士时,进到了该校的微波遥感实验室 Microwave Remote Sensing Laboratory (MIRSL),师从该实验室主任 Paul Siqueira 教授 【美国宇航局 NISAR 卫星任务24位科学专家组成员,并担任生态系统方向负责人】,与美国、欧洲做森林遥感应用的科研人员建立了合作关系 。该实验室是国际上在遥感和雷达领域享有盛誉、美国少有的几个拥有雷达研制与遥感应用实力的实验室,很多杰出校友在美国宇航局工作。20162018年于美国宇航局喷气推进实验室 (NASA/JPL) 做博士后时,师从 Robert Treuhaft 博士 【国际通用的极化干涉合成孔径雷达 (PolInSAR) 用于森林观测的电磁散射机理模型的奠基人】。2018-2021年于美国加州理工学院 (Caltech) 地质与行星科学部 (GPS) 做博士后并后来任职副研究科学家,师从 Charles Elachi 教授 【NASA/JPL 前主任,美国工程院院士,雷达遥感领域的奠基人,任期内主持了 NASA 23个深空探测计划,其中包括美国的三次火星登陆计划】。在 NASA/JPL 和 Caltech 工作期间,建立了大量的科研合作关系,其中包括 NISAR 卫星任务的算法研发组、冰川项目组、对流层干涉相位校正工作组、雷达森林遥感领域的科学家团队, Europa Clipper 卫星任务团队,以及层析雷达积雪遥感团队。同时与其他国家雷达遥感领域的同行也建立了合作关系,包括德国宇航局 (DLR) 的 TanDEM-X 卫星任务团队,意大利罗马大学的 SHARAD 火星雷达探测卫星任务团队,巴西亚马逊雨林的激光雷达团队等