学历：博士
职称：教授
电话：**
邮箱：zhqxiao@bnu.edu.cn
研究方向与招生
??遥感参数反演、遥感图像信息提取
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教育经历
1999/09 – 2004/06，中南大学，信息物理工程学院，博士
1995/09 – 1999/06，中南工业大学，资源环境与建筑工程学院，学士
工作经历
2018/07至今，北京师范大学，地理科学学部，教授
2011/09 – 2018/06，北京师范大学，地理学与遥感科学学院，副教授
2006/09 – 2011/08，北京师范大学，地理学与遥感科学学院，讲师
2004/09 – 2006/09，北京师范大学，地理学与遥感科学学院，博士后
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承担课程
本科生课程：
遥感与地理信息系统前沿讲座
研究生课程：
遥感数据反演与同化
科研项目
国家自然科学基金面上项目：集成时间序列多源遥感数据的叶面积指数反演方法研究
国家 973 项目“复杂地表遥感信息动态分析与建模”第三课题：遥感信息动态特征分析与时间尺度扩展
国家 863 重点项目：全球陆表特征参量产品集生成系统研发与产品生成
国家自然科学基金青年基金项目：耦合陆面过程模型的多尺度遥感数据地表参数动态反演研究
国家科技支撑计划课题：面向环境监测的多源遥感数据协同反演与同化技术及软件研发研究
著作论文
Shi, H.,Xiao, Z., Zhan, X. Ma H., Tian X. Evaluation of ten aerosol optical depthdatasets over AERONET sites. Atmospheric Research, 220, 75-80, 2019.
Han Ma,Shunlin Liang, Zhiqiang Xiao, Dongdong Wang. Simultaneous Estimation ofMultiple Land Surface Parameters from VIIRS Optical-Thermal data. IEEE Geoscienceand Remote Sensing Letters, 2018,.15(1), 156-160.
MengjiaWang,Rui Sun, Zhiqiang Xiao. Estimation of Forest Canopy Height and AbovegroundBiomass from Spaceborne LiDAR and Landsat Imageries in Maryland. Remote Sens. 2018, 10, 344
Yu, T.; Sun,R.; Xiao, Z.; Zhang, Q.; Liu, G.; Cui, T.; Wang, J. Estimation of GlobalVegetation Productivity from Global LAnd Surface Satellite Data. Remote Sens. 2018, 10,327.
Tao Yu, RuiSun, Zhiqiang Xiao, Qiang Zhang, Juanmin Wang and Gang Liu. Generation ofHigh Resolution Vegetation Productivity from a Downscaling Method, RemoteSens. 2018, 10(11), 1748; doi:10.3390/rs**
Xiao,Z.,Liang,S., Sun, R. Evaluation of Three Long Time Series for Global Fraction ofAbsorbed Photosynthetically Active Radiation (FAPAR) Products. IEEETransactions on Geoscience and Remote Sensing. 2018, 56(9): 5509-5524
DuanyangLiu, Linqing Yang, Kun Jia, Shunlin Liang, Zhiqiang Xiao, Xiangqin Wei, YunjunYao, Mu Xia and Yuwei Li. Global Fractional Vegetation Cover EstimationAlgorithm for VIIRS Reflectance Data Based on Machine Learning Methods. RemoteSens. 2018, 10(10), 1648.
Han Ma, Qiang Liu, ShunlinLiang, Zhiqiang Xiao. Simultaneous Estimation of Leaf Area Index, Fraction ofAbsorbed Photosynthetically Active Radiation, and Surface Albedo FromMultiple-Satellite Data. IEEETransactions on Geoscience and Remote Sensing, 2017, 55(8), 4334-4354.
Shi Hanyu, Xiao Zhiqiang, LiangShunlin, Ma Han. (2017). A Method for Consistent Estimation of Multiple
Ma Han, Liang Shunlin, Xiao Zhiqiang,Shi Hanyu. (2017). Simultaneous inversion of multiple land surface parametersfrom MODIS optical–thermal observations. ISPRSJournal of Photogrammetry and Remote Sensing, 128, 240-254.
Tongtong Wang, Zhiqiang Xiao,Zhigang Liu. Performance Evaluation of Machine Learning Methods for Leaf AreaIndex Retrieval from Time-Series MODIS Reflectance Data. Sensors, 2017, 17(1),81.
Liang, S., Xiao, Z., Shi, H.,& Ma, H. (2017). A data assimilation approach for simultaneously estimatinga suite of land surface variables from satellite data. 2017 IEEE InternationalGeoscience and Remote Sensing Symposium (IGARSS), Fort Worth
Zhou Hongmin, Wang Jindi,Liang Shunlin, Xiao Zhiqiang. Extended Data-Based Mechanistic Method for ImprovingLeaf Area Index Time Series Estimation with Satellite Data. Remote Sensing,2017, 9, 533.
Yao Yunjun, Liang Shunlin, LiXianglan, Chen Jiquan, Liu Shaomin, Jia Kun, Zhang Xiaotong, Xiao Zhiqiang,Fisher J.B., Mu Qiaozhen, Pan Ming, Liu Meng, Cheng Jie, Jiang Bo, Xie Xianhong,Grünwald Thomas, Bernhofer Christian, Roupsard Olivier. (2017). Improvingglobal terrestrial evapotranspiration estimation using support vector machineby integrating three process-based algorithms. Agricultural and Forest Meteorology, 242, 55-74
Zhiqiang Xiao, Shunlin Liang,Bo Jiang. Evaluation of four long time-series global leaf area index products. Agriculturaland Forest Meteorology, 246,218–230, 2017.
Xiao Zhiqiang, Liang Shunlin,Tian Xiaodan, Jia Kun, YaoYunjun, Jiang Bo. Reconstruction of Long-Term Temporally Continuous NDVI andSurface eflectance From AVHRR Data. IEEE Journal of Selected Topics in AppliedEarth Observations and Remote Sensing, 2017, 10(12), 5551-5568.
Jian Wang, Jindi Wang, HongminZhou and Zhiqiang Xiao. Detecting Forest Disturbance in Northeast China from GLASS LAI Time Series Data Using a Dynamic Model. RemoteSensing, 2017, 9, 1293
刘刚，孙睿，肖志强，崔天翔．2001–2014年中国植被净初级生产力时空变化及其与气象因素的关系．生态学报，2017，37(15): 4936–4945.
Xiao Zhiqiang, Liang Shunlin.A data assimilation based approach for estimating land surface variables. InM.M. Crawford (Ed.), Remote Sensing Vol. 2 Remote sensing data processing andanalysis methodology, Oxford, UK: Elsevier, 2017.
Xiao, Z.; Jiang, L.; Zhu, Z.;Wang, J.; Du, J. Spatially and Temporally Complete Satellite Soil Moisture DataBased on a Data Assimilation Method. Remote Sensing, 2016, 8, 49
Jingyi Jiang, Zhiqiang Xiao,Jindi Wang and Jinling Song. Multiscale Estimation of Leaf Area Index fromSatellite Observations Based on an Ensemble Multiscale Filter. Remote Sensing, 2016, 8, 229.
Jiang, B.; Liang, S.; Ma, H.; Zhang, X.; Xiao, Z.;Zhao, X.; Jia, K.; Yao, Y.; Jia, A. GLASS Daytime All-Wave Net RadiationProduct: Algorithm Development and Preliminary Validation. Remote Sens.2016, 8, 222.
Xiao, Z.; Wang, T.; Liang, S.; Sun, R. Estimatingthe Fractional Vegetation Cover from GLASS Leaf Area Index Product. Remote Sens. 2016, 8, 337.
Xiao, Z.; Liang, S.; Wang, T.; Jiang, B. Retrievalof Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically ActiveRadiation (FAPAR) from VIIRS Time-Series Data. Remote Sensing, 2016, 8, 351.
Liao L, Song J, Wang J, Xiao Z, Wang J. Bayesian Method for BuildingFrequent Landsat-Like NDVI Datasets by Integrating MODIS and Landsat NDVI.Remote Sensing. 2016; 8(6):452.
ZhiqiangXiao, Shunlin Liang, Jindi Wang, Yang Xiang, Xiang Zhao, Jinling Song. LongTime-Series Global Land Surface Satellite (GLASS) Leaf Area Index ProductDerived from MODIS and AVHRR Data, IEEE Transactions on Geoscience andRemote Sensing, 2016, 54(9), 5301-5318.
Hanyu Shi, Zhiqiang Xiao,Shunlin Liang, Xiaotong Zhang. Consistent Estimation of Multiple Parameters fromMODIS Top of Atmosphere Reflectance Data Using a Coupled Soil-Canopy-AtmosphereRadiative Transfer Model. Remote Sensingof Evironment, 2016, 184, 40-57.
Zaichun Zhu, Shilong Piao,Ranga B.Myneni, Mengtian Huang, Zhenzhong Zeng, Josep G. Canadell, PhilippeCiais, Stephen Sitch, Pierre Friedlingstein, Almut Arneth, Chunxiang Cao, LeiCheng, Etsushi Kato, Charles Koven, Yue Li, Xu Lian, Yongwen Liu, Ronggao Liu,Jiafu Mao, Yaozhong Pan, Shushi Peng, Josep Pe?uelas, Benjamin Poulter, ThomasA. M. Pugh, Benjamin D. Stocker, Nicolas Viovy, XuhuiWang, YingpingWang, ZhiqiangXiao, Hui Yang, S?nke Zaehle and Ning Zeng. Greening of the Earth and itsdrivers. Nature Climate Change, 2016.
Zhiqiang Xiao, Shunlin Liang,Jindi Wang, Donghui Xie, Jinling Song, Rasmus Fensholt. A Framework forConsistent Estimation of Leaf Area Index, Fraction of AbsorbedPhotosynthetically Active Radiation, and Surface Albedo from MODIS Time-SeriesData. IEEE Transactions on Geoscience and Remote Sensing, 56(6),3178-3197, 2015.
Zhiqiang Xiao, Shunlin Liang,Tongtong Wang and Qiang Liu. Reconstruction of Satellite-Retrieved Land-SurfaceReflectance Based on Temporally-Continuous Vegetation Indices. Remote Sensing, 2015, 7, 9844-9864.
Xiao Z.Q., Liang S.L., Sun R.,Wang J.D., Jiang B., Estimating the fraction of absorbed photosyntheticallyactive radiation from the MODIS data based GLASS leaf area index product. Remote Sensing of Environment, 2015,171, 105–117.
Kun Jia, Shunlin Liang, SuhongLiu, Yuwei Li, Zhiqiang Xiao, Yunjun Yao, Bo Jiang, Xiang Zhao, Xiaoxia Wang,Shuai Xu, and Jiao Cui. Global Land Surface Fractional Vegetation CoverEstimation Using General Regression Neural Networks From MODIS SurfaceReflectance. IEEE Transactions on Geoscience and Remote Sensing, 2015,53(9), 4787–4796.
Li Tian, Jindi Wang, HongminZhou, and Zhiqiang Xiao. MODIS NBAR Time Series Modeling With Two StatisticalMethods and Application to Leaf Area Index Recursive Estimation. IEEE Journal of Selected Topics in Applied EarthObservations and Remote Sensing, 2015, 8(4), 1404-1412.
TongtongWang, Zhiqiang Xiao, Zhigang Liu. Comparison of machinelearning algotithms for leaf area index retrieval from time series MODIS data.IGARSS 2015, 1729-1732.
Zhen Wang, Liqiang Zhang, TianFang, P. Takis Mathiopoulos, Xiaohua Tong, Huamin Qu, Zhiqiang Xiao, Fang Li,Dong Chen. A Multiscale and HierarchicalFeature Extraction Method for Terrestrial Laser Scanning Point CloudClassification. IEEE Transactions onGeoscience and Remote Sensing, 2015, 53(5), 2409-2425.
Piao S,Yin G, Tan J, Cheng L, Huang M, Li Y, Liu R, Mao J, Myneni RB, Peng S, PoulterB, Shi X, Xiao Z, Zeng N, Zeng Z, Wang Y. Detection and attribution ofvegetation greening trend in China over the last 30 years. Global ChangeBiology, 21(4), pp. 1601-1609, 2015.
ZhiqiangXiao, Shunlin Liang, Jindi Wang, Ping Chen, Xuejun Yin, Liqiang Zhang, andJinling Song, Use of General Regression Neural Networks for Generating theGLASS Leaf Area Index Product from Time Series MODIS Surface Reflectance. IEEETransactions on Geoscience and Remote Sensing, vol.52, no.1, pp. 209-223 2014.
Jiang, J.,Xiao, Z., Wang, J., Song, J. Sequential Method with Incremental Analysis Updateto Retrieve Leaf Area Index from Time Series MODIS Reflectance Data. RemoteSensing, 2014, 6, 9194-9212.
Jiang, B.;Zhang, Y.; Liang, S.; Zhang, X.; Xiao, Z. Surface Daytime Net RadiationEstimation Using Artificial Neural Networks. Remote Sensing, 2014, 6,11031-11050.
李喜佳,肖志强,王锦地,瞿瑛,靳华安.2014.双集合卡尔曼滤波估算时间序列LAI.遥感学报,18(1):27-44
向阳, 肖志强, 梁顺林, 王锦地, 宋金玲. 2014. 利用MODIS地表反射率数据反演的GLASS叶面积指数产品验证. 遥感学报, 18(3): 573-596
Han Ma，Jinling SongJindi Wang,Zhiqiang Xiao,Zhuo Fu.Improvement of spatially continuous forest LAI retrieval by integration ofdiscrete airborne LiDAR and remote sensing multi-angle optical data, Agricultureand Forest Meteorology, Vol. 189-190, pp. 60-70,2014.
Qiang Liu, ShunlinLiang, Zhiqiang Xiao, Hongliang Fang, Retrieval of leaf area index usingtemporal, spectral, and angular information from multiple satellite data.Remote Sensing of Environment, Volume 145, 5 April 2014, Pages 25–37.
JingyiJiang, Zhiqiang Xiao. An Ensemble Multiscale Filter Approach for RetrievingLeaf Area Index From Multiple Satellite Data, IGARSS 2014, 776-779.
Guo, LB;Wang, JD; Xiao, ZQ; Zhou, HM; Song, JL. Data-based mechanistic modelling andvalidation for leaf area index estimation using multi-angular remote-sensingobservation time series. InternationalJournal of Remote Sensing, 2014, 35(13), 4655-4672.
Huazhu Xue,Jindi Wang, Zhiqiang Xiao, Ping Chen and Yan Liu, Combining MODIS and AMSR-Eobservations to improve MCD
梁顺林，张晓通，肖志强 等著. 全球陆表特征参量产品：算法、验证与分析, 高等教育出版社, 2014
Fang, H.,Jiang, C., Li, W., Wei, S., Baret, F., Chen, J.M., Garcia-Haro, J., Liang, S.,Liu, R., Myneni, R.B., Pinty, B., Xiao, Z., & Zhu, Z. (2013).Characterization and intercomparison of global moderate resolution leaf areaindex (LAI) products: Analysis of climatologies and theoretical uncertainties.Journal of Geophysical Reearch - Biogeoscience, DOI:10.1002/jgrg.20051.
ShunlinLiang, Xiang Zhao, Suhong Liu, Wenping Yuan, Xiao Cheng, Zhiqiang Xiao,Xiaotong Zhang, Qiang Liu, Jie Cheng, Hairong Tang, Yonghua Qu, Yancheng Bai,Ying Qu, Huazhong Ren, Kai Yu & John Townshend. (2013). A Long-term GlobalLAnd Surface Satellite (GLASS) Dataset for Environmental Studies, InternationalJournal of Digital Earth, DOI:10.1080/**.2013.805262.
Xiang Zhao,Shunlin Liang, Suhong Liu, Wenping Yuan, Zhiqiang Xiao, Qiang Liu, Jie Cheng,Xiaotong Zhang, Hairong Tang, Xin Zhang, Qiang Liu, Gongqi Zhou, Shuai Xu andKai Yu. (2013). The global land Surface satellite (GLASS) remote sensing dataprocessing system and products. Remote Sensing, 5, 2436-2450.
Libiao Guo,Jindi Wang, Zhiqiang Xiao, Hongmin Zhou. Land surface leaf area indexestimation based on time series multi-angular remote sensing data. IGARSS 2013.
ShunlinLiang; Xiaotong Zhang; Zhiqiang Xiao; Jie Cheng; Qiang Liu; Xiang Zhao, GlobalLAnd Surface Satellite (GLASS) Products: Algorithm, Validation and Analysis ，Springer, 2013/12
XiaoZhiqiang, Jindi Wang, Shunlin Liang, et al., Variational retrieval of leaf areaindex from MODIS time series data: Examples from the Heihe River Basin,North-west China, International Journal of Remote Sensing, 33(3): 730-745,2012.
XiaoZhiqiang, Liang Shunlin, Wang Jindi, and Jiang Bo, Real-time retrieval of Leaf Area Index from MODIS time series data, Remote Sensing of Environment, 115(1): 97-106, 2011.
Yuan Hua,Yongjiu Dai, Zhiqiang Xiao, Duoying Ji, Wei Shangguan, Reprocessing the MODISLeaf Area Index products for land surface and climate modelling, Remote Sensingof Environment, 115(5): 1171-1187, 2011.
靳华安, 王锦地, 肖志强, 李喜佳. 遥感反演时间序列叶面积指数的集合卡尔曼平滑算法, 光谱学与光谱分析,2011, 31(9) : 2485 – 2490. [Jin Huaan; Wang Jindi; Xiao Zhiqiang, Li Xijia. Use ofEnsemble Kalman Smoother Algorithm for the Time-Series Retrieval of Leaf AreaIndex from Remote Sensing Data. Spectroscopy and Spectral Analysis, 2011, 31(9) : 2485 – 2490. ]
Cai Wenwen, Song Jinling, Wang Jindi, Xiao Zhiqiang, High spatial-andtemporal-resolution NDVI produced by the assimilation of MODIS and HJ-1 data,Canadian Journal of Remote Sensing，Vol. 37, No. 6,pp. 612–627, 2011
柳钦火, 仲波, 吴纪桃, 肖志强, 王桥等著, 环境遥感定量反演与同化, 科学出版社,2011年10月, ISBN
Xijia Li,Zhiqiang Xiao, Jindi Wang, Jingling Song, Ying Qu, Simultaneous Estimation ofLAI and Dynamic Model Parameters Using Dual EnKF from Time Series MODIS Data,ICMT 2010, doi:10.1109/ICMULT.2010.**.
江波, 梁顺林, 王锦地, 肖志强. 运用动态谐波回归模型对MODIS叶面积指数时间序列产品的分析与预测, 遥感学报,2010年1期, 123-32.
Bo Jiang,Shunlin Liang, Jindi Wang, and Zhiqiang Xiao, Modeling MODIS LAI time seriesusing three statistical methods, Remote Sensing of Environment, 114(7):1432-1444, 2010.
杨玲, 张立强, 康志忠, 肖志强, 彭军还, 张兴明, 刘骝. 大规模矢量地图与多分辨率DEM快速叠加的方法, 中国科学, 2010, 40(6): 801 – 808.
Huaan Jin,Jindi Wang, Zhiqiang Xiao, et al. Leaf area index estimation from MODIS datausing the ensemble Kalman smoother method. IEEE International Geoscience andRemote Sensing Symposium, 2010.
XiaoZhiqiang, S. Liang, J. Wang, J. Song, and X. Wu, A temporally integratedinversion method for estimating leaf area index from MODIS data, IEEETransactions on Geoscience and Remote Sensing, 47(8): 2536-2545, 2009.
宋金玲, 王锦地, 帅艳民, 肖志强, 像元尺度林地冠层二向反射特性的模拟研究, 光谱学与光谱分析, 29(08), pp2141-2147,2009.
XiaoZhiqiang, J. Wang, S. Liang, Y. Qu, and H. Wan, Retrieval of canopy biophysicalvariables from remote sensing data using contextual information, Journal ofCentral South University of Technology, 15: 877-881, 2008.
主要工作
发展了集成时间序列遥感数据的参数反演方法，利用AVHRR和MODIS数据生成了叶面积指数（LAI）、光合有效辐射吸收比（FAPAR）等参数的长时间序列（1981年至今）的全球产品，并向全球免费发布。
FAPAR全球产品
其他
多分辨率卫星遥感（MUSES）产品，欢迎关注使用。
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