导师风采
段四波
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  • 研究员
  • 导师类别:硕士生导师
  • 性别: 男
  • 学历:博士研究生
  • 学位:博士

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  • 所属院系:资源区划所
  • 所属专业:
  • 邮箱 : duansibo@caas.cn
  • 工作电话 : 010-82105050

个人简介

Personal Profile

段四波,博士,中国农业科学院农业资源与农业区划研究所研究员、国家自然科学基金“农业遥感机理与方法”创新研究群体项目骨干、国家高层次人才计划青年人才入选者、中国农科院农科英才领军人才入选者、中国遥感应用协会农业农村遥感分会常务理事、中国遥感应用协会黄土高原遥感分会常务理事、中国遥感应用协会定量遥感专业委员会委员、国际数字地球学会中国国际委员会数字山地专业委员会委员、IEEE高级会员、中国地理学会会员。研究方向为热红外定量遥感。主持国家自然科学基金项目、国家重点研发计划子课题、高分辨率对地观测系统重大专项课题等项目。曾获中科院院长特别奖、中科院优秀博士学位论文、省部级奖励3项。


  • 研究方向Research Directions
农业定量遥感
2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行整体布局设计。 整体布局设计。
科研项目

国家自然科学基金面上项目,基于GF-5卫星数据的高精度城市地表温度热红外遥感反演方法研究,42171362,2022/01-2025/12,项目负责人

国家自然科学基金创新研究群体项目,农业遥感机理与方法,41921001,2020/01-2024/12,课题负责人

国家自然科学基金面上项目,热红外与被动微波遥感地表温度融合方法研究,41871275,2019/01-2022/12,项目负责人

国家重点研发计划子课题,局地大气辐射传输建模技术,2018YFB050480404,2018/05-2022/04,子课题负责人

国家自然科学基金青年项目,静止气象卫星数据时间和光谱信息耦合的热红外地表温度反演研究,41501406,2016/01-2018/12,项目负责人

高分辨率对地观测系统重大专项课题,基于GF-5数据的地表温度与水体温度反演技术,11-Y20A32-9001-15/17-4,2015/11-2017/10,课题负责人

中国博士后科学基金面上项目,结合时间和光谱信息的静止气象卫星地表温度反演研究,2015M570179,2015/06-2016/06,项目负责人


研究成果

Si-Bo Duan,Zhao-Liang Li*, Wei Zhao, Penghai Wu, Cheng Huang, Xiao-Jing Han, Maofang Gao,Pei Leng, and Guofei Shang. (2021). Validation of Landsat land surfacetemperature product in the conterminous United States using in situmeasurements from SURFRAD, ARM, and NDBC sites. International Journal ofDigital Earth, 14(5): 640-660.

Si-Bo Duan,Zhao-Liang Li*, Caixia Gao, Wei Zhao, Hua Wu, Yonggang Qian, Pei Leng, andMaofang Gao. (2020). Influence of adjacency effect on high-spatial-resolutionthermal infrared imagery: Implication for radiative transfer simulation andland surface temperature retrieval. Remote Sensing of Environment, 245, 111852.

Si-Bo Duan,Xiao-Jing Han, Cheng Huang, Zhao-Liang Li*, Hua Wu, Yonggang Qian, Maofang Gao,and Pei Leng. (2020). Land surface temperature retrieval from passive microwavesatellite observations: State-of-the-art and future directions. Remote Sensing,12, 2573.

Si-Bo Duan,Zhao-Liang Li*, Hua Li, Frank-M. Göttsche, Hua Wu, Wei Zhao, Pei Leng, XiaZhang, and César Coll. (2019). Validation of Collection 6 MODIS land surfacetemperature product using in situ measurements. Remote Sensing of Environment,225, 16-29.

Si-Bo Duan,Zhao-Liang Li*, Chenguang Wang, Shuting Zhang, Bo-Hui Tang, Pei Leng, andMao-Fang Gao. (2019). Land-surface temperature retrieval from Landsat 8 singlechannel thermal infrared data in combination with NCEP reanalysis data andASTER GED product, International Journal of Remote Sensing, 40(5-6), 1763-1778.

Si-Bo Duan,Zhao-Liang Li*, Hua Wu, Pei Leng, Maofang Gao, and Chenguang Wang. (2018).Radiance-based validation of land surface temperature products derived fromCollection 6 MODIS thermal infrared data. International Journal of AppliedEarth Observation and Geoinformation, 70, 84-92.

Si-Bo Duan,Zhao-Liang Li*, and Pei Leng. (2017). A framework for the retrieval ofall-weather land surface temperature at a high spatial resolution frompolar-orbiting thermal infrared and passive microwave data. Remote Sensing ofEnvironment, 195, 107-117.

Si-Bo Duan,Zhao-Liang Li*, Jie Cheng, and Pei Leng. (2017). Cross-satellite comparison ofoperational land surface temperature products derived from MODIS and ASTER dataover bare soil surfaces. ISPRS Journal of Photogrammetry and Remote Sensing,126, 1-10.

Si-Bo Duan,and Zhao-Liang Li*. (2016). Spatial downscaling of MODIS land surfacetemperatures using geographically weighted regression Case study in northernChina. IEEE Transactions on Geoscience and Remote Sensing, 54, 6458-6469.

Si-Bo Duan,and Zhao-Liang Li*. (2015). Intercomparison of operational land surfacetemperature products derived from MSG-SEVIRI and Terra Aqua-MODIS data. IEEEJournal of Selected Topics in Applied Earth Observations and Remote Sensing, 8,4163-4170.

Si-Bo Duan, Zhao-Liang Li*,Bo-Hui Tang, Hua Wu, Ronglin Tang, and Yuyun Bi. (2015). Atmospheric correction of high-spatial-resolutionsatellite images with adjacency effects: Application to EO-1 ALI data.International Journal of Remote Sensing, 36, 5061-5074.

Si-Bo Duan, Zhao-Liang Li*, Bo-HuiTang, Hua Wu, and Ronglin Tang. (2014). Direct estimation of land-surface diurnal temperaturecycle model parameters from MSG-SEVIRI brightness temperatures under clear skyconditions. Remote Sensing of Environment, 150, 34-43.

Si-Bo Duan, Zhao-Liang Li*, Bo-HuiTang, Hua Wu, Ronglin Tang,Yuyun Bi, and Guoqing Zhou. (2014). Estimation of diurnal cycle of land surfacetemperature at high temporal and spatial resolution from clear-sky MODIS data.Remote Sensing, 6, 3247-3262.

Si-Bo Duan,Zhao-Liang Li*, Hua Wu, Bo-Hui Tang, Lingling Ma,Enyu Zhao, and Chuanrong Li. (2014). Inversion of the PROSAIL model to estimateleaf area index of maize, potato, and sunflower fields from unmanned aerialvehicle hyperspectral data. International Journal of Applied Earth Observationand Geoinformation, 26, 12-20.

Si-Bo Duan,Zhao-Liang Li*, Bo-Hui Tang, Hua Wu, and Ronglin Tang.(2014). Generation of a time-consistent land surface temperature product fromMODIS data. Remote Sensing of Environment, 140, 339-349.

Si-Bo Duan,Zhao-Liang Li*, Bo-Hui Tang, Hua Wu, Lingling Ma,Enyu Zhao, and Chuanrong Li. (2013). Land surface reflectance retrieval fromhyperspectral data collected by an unmanned aerial vehicle over the Baotou testsite. PLoS ONE, 8, e66972.

Si-Bo Duan,Zhao-Liang Li*, Hua Wu, Bo-Hui Tang, Xiaoguang Jiang,and Guoqing Zhou. (2013). Modeling of day-to-day temporal progression ofclear-sky land surface temperature. IEEE Geoscience and Remote Sensing Letters,10, 1050-1054.

Si-Bo Duan,Zhao-Liang Li*, Ning Wang, Hua Wu, and Bo-Hui Tang.(2012). Evaluation of six land-surface diurnal temperature cycle models usingclear-sky in situ and satellite data. Remote Sensing of Environment, 124,15-25.

Chen Ru, Si-Bo Duan*, Xiao-GuangJiang*, Zhao-Liang Li, Yazhen Jiang, Huazhong Ren, Pei Leng, and Maofang Gao.(2022). Land surface temperature retrieval from Landsat 8 thermal infrared dataover urban areas considering geometry effect: Method and application. IEEETransactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.3088482.

Xiaolin Zhu, Si-Bo Duan*,Zhao-Liang Li, Wei Zhao, Hua Wu, Pei Leng, Maofang Gao, and Xiaoming Zhou*.(2021). Retrieval of land surface temperature with topographic effectcorrection from Landsat 8 thermal infrared data in mountainous areas. IEEETransactions on Geoscience and Remote Sensing, 59(8), 6674-6687-.

Yanru Yu, Si-Bo Duan*, Zhao-LiangLi, Sheng Chang*, Zefeng Xing, Pei Leng, and Maofang Gao. (2021). Interannualspatiotemporal variations of land surface temperature in China from 2003 to2018. IEEE Journal of Selected Topics in Applied Earth Observations and RemoteSensing, 14, 1783-1795.

Wei Zhao, Si-Bo Duan*. (2020).Reconstruction of daytime land surface temperatures under cloud-coveredconditions using integrated MODIS/Terra land products and MSG geostationarysatellite data. Remote Sensing of Environment, 247, 111931.

Jingjing Yang, Si-Bo Duan*, XiaoyuZhang, Penghai Wu, Cheng Huang, Pei Leng, and Maofang Gao. (2020). Evaluationof seven atmospheric profiles from reanalysis and satellite-derived products:Implication for single-channel land surface temperature retrieval. RemoteSensing, 12, 791.

Shuting Zhang, Si-Bo Duan*,Zhao-Liang Li, Cheng Huang, Hua Wu, Xiao-Jing Han, Pei Leng, and Maofang Gao.(2019). Improvement of split-window algorithm for land surface temperatureretrieval from Sentinel-3A SLSTR data over barren surfaces using ASTER GEDproduct. Remote Sensing, 11, 3025.

Cheng Huang, Si-Bo Duan*,Xiao-Guang Jiang, Xiao-Jing Han, Hua Wu, Maofang Gao, Pei Leng, and Zhao-LiangLi. (2019). Intercomparison of AMSR2- and MODIS-derived land surfacetemperature under clear-sky conditions. IEEE Journal of Selected Topics in Applied EarthObservations and Remote Sensing, 12(9), 3286-3294.

Wei Zhao*, Hua Wu, Gaofei Yin, andSi-Bo Duan*. (2019). Normalization of the temporal effect on the MODIS landsurface temperature product using random forest regression. ISPRS Journal of Photogrammetry and Remote Sensing,152, 109-118.

Wei Zhao*, Si-Bo Duan*, Ainong Li,and Gaofei Yin. (2019). A practical method for reducing terrain effect on landsurface temperature using random forest regression. Remote Sensing ofEnvironment, 221, 635-649.

Cheng Huang, Si-Bo Duan*, XiaoguangJiang*, Xiao-Jing Han, Pei Leng, Mao-Fang Gao, and Zhao-Liang Li. (2019). Aphysically based algorithm for retrieving land surface temperature under cloudyconditions from AMSR2 passive microwave measurements. International Journal ofRemote Sensing, 40(5-6), 1828-1843.

Xiao-Jing Han, Si-Bo Duan*, ChengHuang, and Zhao-Liang Li. (2019). Cloudy land surface temperature retrievalfrom three-channel microwave data. International Journal of Remote Sensing,40(5-6), 1793-1807.

Chenguang Wang, Si-Bo Duan*, XiaoyuZhang, Hua Wu, Mao-Fang Gao, and Pei Leng. (2019). An alternative split-windowalgorithm for retrieving land surface temperature from Visible Infrared ImagingRadiometer Suite data. International Journal of Remote Sensing, 40(5-6),1640-1654.

Hai-Qi Liu,Si-Bo Duan*, Kun Shao, Yuanyuan Chen, and Xiao-Jing Han. (2015). Combiningthermal inertia and a diurnal temperature difference cycle model to estimatethermal inertia from MSG-SEVIRI data. International Journal of Remote Sensing,36, 4808-4819.


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