黄春林

 

通讯地址:(730000) 兰州市东岗西路322

中国科学院寒区旱区环境与工程研究所

遥感与地理信息科学研究室

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    话: 0931-4967975

一、个人资料

性别

出生年月

1979年1月

籍贯

宁夏

民族

专业

遥感与地理信息系统

研究兴趣

多源遥感数据同化方法及陆面数据同化系统集成;水文遥感;陆面过程模拟
二、学习与工作经历
  • 1997年9月—2001年7月:兰州大学获水文地质与工程地质专业学士学位;
  • 2002年9月—2008年3月:中国科学院寒区旱区环境与工程研究所获地图学与地理信息系统专业博士学位,导师李新研究员;
  • 2007年1月-2007年6月:美国佛罗里达州立大学地质系进行短期合作交流。在胡小农教授资助和指导下,开展地下水数据同化方法的研究。
  • 2008年4月-2008年12月:中国科学院寒区旱区环境与工程研究所遥感与地理信息科学研究室工作, 助理研究员,从事陆面数据同化研究工作。
  • 2009年1月-2010年12月:美国加州大学洛杉矶分校土木工程学院水文与水资源系进行博士后研究工作,在Steven Margulis指导下开展积雪过程模拟与积雪数据同化方法的研究工作。
  • 2011年4月-至今 中国科学院寒区旱区环境与工程研究所遥感与地理信息科学研究室工作, 研究员(百人计划),博导,从事多源遥感数据同化研究工作。
三、科研项目
  • 国家自然科学基金面上基金项目“基于多源遥感数据的黑河流域高分辨率土壤水分同化研究”(91325106),2014-2016;
  • 国家自然科学基金面上基金项目“积雪的观测、模拟和多尺度遥感数据同化方法研究”(41271358),2013-2016;
  • 中国科学院百人计划项目“寒旱区地表水文关键要素的多源遥感数据同化研究”,2011-2014;
  • 中科院生态与环境科技创新基地重要方向项目“地表关键参数遥感反演与数据同化系统研究”的第四课题“多源数据同化系统的集成与运行”,(KZCX2-YW-Q10-2), 2009-2011;(已结题)
  • 国家自然科学基金青年基金项目“基于数据同化方法的蒸散发遥感估算及时间尺度扩展研究”(40801126),2009-2011;(已结题)
四、发表论文

1. SCI论

  1. Chen, W. J, Huang, C. L., Shen, H. F., Li, X., 2015, Comparison of ensemble-based state and parameter estimation methods for soil moisture data assimilation, Advances in Water Resources, http://dx.doi.org/10.1016/j.advwatres.2015.08.003
  2. Chu, N., Huang C. L., Li, X., Du, P. J., 2015, Simultaneous estimation of surface soil moisture and soil properties with a dual ensemble Kalman smoother, Science China: Earth Sciences, 58: 1–13, doi: 10.1007/s11430-015-5175-6
  3. Huang, G. H., Huang, C. L., Li, Z. Q., Chen, H., 2015, Development and Validation of a Robust Algorithm for Retrieving Aerosol Optical Depth Over Land From MODIS Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(3), 1152-1166
  4. Bi, Y. B., Xie, H. J., Huang, C. L., Ke, C. Q., 2015, Snow Cover Variations and Controlling Factors at Upper Heihe River Basin, Northwestern China, Remote Sensing, 7, 6741-6762
  5. Xie, H. J., Huang, C. L., Liang, T. G., 2014, Special Section Guest Editorial: Progress in Snow Remote Sensing, Journal of Applied Remote Sensing, 8, 084601
  6. Wang, J., Li, H. X., Hao, X. H., Huang, X. D., Hou, J. L., Che, T., Dai, L. Y., Liang, T. G., Huang, C. L., Li, H. Y., Tang, Z. G., Wang, Z. Y., 2014, Remote sensing for snow hydrology in China: challenges and perspectives, Journal of Applied Remote Sensing, 8, 084687
  7. Li H. Y., Tang Z. G., Wan J., Che T., Pan X. D., Huang C. L., Wang X. F., Hao X. H., Su S. B., 2014, Synthesis method for simulating snow distribution utilizing remotely sensed data for the Tibetan Plateau, Journal of Applied Remote Sensing, 8, 084696
  8. 王杰,黄春林,王建,曹永攀, 2014, 一种基于光谱库的雪粒径及形状参数反演新方法. 光谱学与光谱分析,(Accepted)
  9. Hou, J. L., Huang, C. L., 2014, Improving mountainous snow cover fraction mapping via artificial neural networks combined with MODIS and ancillary topographic data, IEEE Transactions on Geoscience & Remote Sensing, 52, 5601-5611
  10. Lei, F. N., Huang, C. L., Shen, H. F., Li, X., 2014, Improving the estimation of hydrological states in SWAT model via ensemble Kalman smoother: synthetic experiments for the Heihe Basin in Northwest China, Advances in Water Resources, 67, 32-45
  11. Che, T., Li, X., Jin, R., Huang, C. L., 2014, Assimilating passive microwave remote sensing data into a land surface model to improve the estimation of snow depth, Remote Sensing of Environment, 143, 54-63.
  12. Bateni, S. M., Huang, C. L., Margulis, S. A., Podest, E., McDonald, K., 2013,Feasibility of Characterizing Snowpack and the Freeze-Thaw State of Underlying Soil Using Multifrequency Active/Passive Microwave Data, IEEE Transactions on Geoscience & Remote Sensing, 51(7), 4085-4102
  13. Ge, Y. C., Li, X., Huang, C. L., Nan, Z. T., 2013, A Decision Support System for irrigation water allocation along the middle reaches of the Heihe River Basin, Northwest China, Environmental Modelling & Software, 47, 182-192
  14. 郝晓华,王杰, 王建,张璞,黄春林, 2013. 北疆地区不同雪粒径光谱特征观测及反演研究. 光谱学与分析,33(1),190-195
  15. Huang, C. L., Margulis S. , Musselman K., Durand M., 2012. Assessment of grain-size model and stratigraphy representation impacts on snow radiance assimilation: Forward Modeling Evaluation, IEEETransactions on Geoscience & Remote Sensing,50(11), 4551-4564
  16. Zhu G. F., Li X., Su Y. H., Lu L., Huang C. L., Seasonal fluctuations and temperature dependence in photosynthetic parameters and stomatal conductance at the leaf scale of Populus euphratica Oliv. Tree Physiology, 31(2), 178-195
  17. Zhu G. F., Li X., Su Y. H., Huang C. L., Parameterization of the coupling CO2 and H2O gas exchange model at the leaf scale of Populus euphratica tree. Hydrol. Earth. Syst. Sci., 14, 419-431
  18. Zhu G. F., Su Y. H., Huang C. L., Feng Q., Liu Z. G., 2010. Hydrogeochemical processes in the groundwater environment of Heihe River Basin, northern China. Environmental Earth Sciences, 60(1), 139-153
  19. Gu, J., Li, X., Huang, C. L., Okin, G. S., 2009, A simplified data assimilation method for reconstructing time-series MODIS NDVI data. Advances in Space Research, 44(4), 501-509.
  20. Huang, C. L., Hu, B. X., Li, X., and Ye, M., 2009, Using ensemble Kalman filter to simulate groundwater flow and solute transport in heterogeneous media with unknown contamination sources. Stochastic Environmental Research and Risk Assessment. 23, 155–1167
  21. Huang, C. L., Li, X., and Lu, L., 2008, Retrieving soil temperature profile by assimilating MODIS LST products with ensemble Kalman filter. Remote Sensing of Environment, 112(4), 1320-1336.
  22. Huang, C. L., Li, X., Lu, L., Gu, J., 2008, Experiments of one-dimensional soil moisture assimilation system based on ensemble Kalman filter, Remote Sensing of Environment, 112(3), 888-900
  23. Li, X., Huang, C. L., Che, T., Jin, R., Wang, S. G., Wang, J. M., Gao, F., Zhang, S. W., Qiu, C. J., and Wang, C. H., 2007, Development of a Chinese land data assimilation system: Its progress and prospects. Progress in Natural Science, 17(8), 881-892.

2. EI期刊论文

  1. 王宏伟,黄春林,侯金亮,李晓英,2014,基于同化算法融合多源数据估算雪深,武汉大学学报(信息科学版)(已录用)(EI)
  2. 褚楠, 黄春林, 杜培军,2015, 基于集合卡尔曼平滑算法的土壤水分同化研究,水科学进展,26(2),243-249
  3. 黄春林, 李 艳, 卢 玲, 顾 娟,  2014,考虑干旱水分胁迫的地表通量遥感估算, 水科学进展, 25(2), 181-188
  4. 黄春林,李新, 2006, 土壤水分同化系统的敏感性实验研究.水科学进展, 17(4):457-465.

3. 核心期刊论文

  1. 闻熠,黄春林,卢玲,顾娟,2014,基于ASTER数据黑河中游植被含水量反演研究,遥感技术与应用.(已录用)
  2. 陈玮婧,黄春林,沈焕锋, 基于Lorenz模型的状态与参数同时估计方法对比研究. 遥感技术与应用. 30 (4): 684-693
  3. 侯金亮,黄春林,王宏伟, 基于克里金空间插值的MODIS积雪覆盖率产品去云方法研究. 遥感技术与应用. 29(6),1001-1008
  4. 李艳,黄春林,卢玲,基于EFAST方法的SEBS模型参数全局敏感性分析. 遥感技术与应用. 29(5):719-726
  5. 李艳,黄春林,卢玲,顾娟, 蒸散发遥感估算方法的研究进展. 兰州大学学报(自然科学版). 50(6),765-772
  6. 王宏伟,黄春林,郝晓华,等, 北疆地区积雪时空变化的影响因素分析. 冰川冻土,2014, 36(3), 508-516.
  7. 王宏伟,黄春林,侯金亮, 一种融合遥感和地面观测资料的雪深空间插值方法. 遥感技术与应用. 29(6),993-1000
  8. 顾娟, 李新, 黄春林, 张喜凤,金鑫, 2013. 2002-2010年中国陆域植被净初级生产力模拟.兰州大学学报(自然科学版). 49(2): 203-213.
  9. 摆玉龙, 高海沙,柴乾隆,黄春林, 2013. 基于Lorenz-96模型的顺序数据同化方法比较研究. 遥感技术与应用, 28(2), 276-282
  10. 张添,黄春林,沈焕锋, 土壤水分对土壤参数的敏感性及其参数优化方法研究,地球科学进展,27(6),678-685
  11. 张添,黄春林,沈焕锋, 地表通量对模型参数的不确定性和敏感性分析,遥感技术与应用,26(5),569-576
  12. 李星敏,卢玲,李新,杨文峰,黄春林,王钊,2010, 黑河流域日蒸散发遥感估算研究. 高原气象, 29(1),109-114
  13. 顾娟,李新,黄春林,2010, 基于时序MODIS NDVI的黑河流域土地覆盖分类研究. 地球科学进展,25(3), 317-326
  14. 马明国,刘强,阎广建,陈尔学,肖青,苏培玺,胡泽勇,李新,牛铮,王维真,钱金波,宋怡,丁松爽,辛晓洲,任华忠,黄春林,晋锐,车涛,楚荣忠,2009, 黑河流域遥感-地面观测同步试验:森林水文和中游干旱区水文试验.地球科学进展, 24(7),681-695
  15. 李星敏,卢玲,杨文峰,黄春林,2009, 遥感技术在区域农田蒸散研究中的应用. 西北农林科技大学学报,37(8),161-170
  16. 陈正华,麻清源,王建,祁元,李净,黄春林,马明国,杨国靖,2008, 利用CASA模型估算黑河流域净第一性生产力.自然资源学报, 23(2), 263-273
  17. 李新,黄春林,车涛,晋锐,王书功,王介民,高峰,张述文,邱崇践,王澄海,2007, 中国陆面数据同化系统研究的进展与前瞻.自然科学进展,17 (2),163-173.
  18. 卢玲,李新,黄春林,Veroustraete,2007, 中国西部陆地植被水分利用效率的时空特征初探.冰川冻土,29(5), 777-784.
  19. 黄春林,李新,2007, UKF滤波算法在数据同化中的应用. 热带气象学报, 23(6),617-622
  20. 黄春林,李新,2006, 基于集合卡尔曼滤波的土壤水分同化实验.高原气象,25(4),665-671.
  21. 黄春林,李新,卢玲,2006, 基于模拟退火算法的植被参数遥感反演. 遥感技术与应用,21(4),271-276
  22. 顾娟,李新,黄春林, 2006, NDVI时间序列数据集重建方法述评. 遥感技术与应用, 21(4),391-395
  23. 王建,祁元,陈正华,马明国,李净,黄春林, 基于遥感技术的生态系统服务价值动态评估模型研究.冰川冻土,28(5),739-747
  24. 李新, 黄春林. 2004, 数据同化——一种集成多源地理空间数据的新思路. 科技导报,12:13-16.
  25. 黄春林, 李新. 2004, 陆面数据同化系统的研究综述.遥感技术与应用, 19(5): 424-430.
  26. 黄春林,李新. 2002, 比较三种不同的因特网空间数据发布方法. 地理学报, 57:44-51.
  27. 黄春林,李新. 2001, HDF-EOS数据格式在处理空间数 据中的应用. 遥感技术与应用, 16(4):252-259.

4. 会议论文

  1. Gu J., Huang, C. L., 2013, Influence of drought on Chinese terrestrial net primary production from 2002–2010, IEEE International GeoScience and Remote Sensing Symposium,Melbourne, July 21-26, 2013.
  2. Hou, J. L., Huang, C. L., 2013, An application of ANN for mountainous snow cover fraction mapping with MODIS and ancillary topographic data, IEEE International GeoScience and Remote Sensing Symposium,Melbourne, July 21-26, 2013.
  3. Huang, C. L., 2012, Assimilation of MODIS snow cover fraction for improving snow variables estimation in west China, Proc. SPIE 8531, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV, 853111 (October 19, 2012); doi:10.1117/12.974512 (EI)
  4. Gu, J., Li, X., Huang, C. L., 2012, Changes in satellite-derived vegetation growth trend in China from 2002 to 2010, SPIE 8531, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV, 85310W (October 23, 2012) doi: 10.1117/12.974313
  5. Margulis, S.A., Huang, C. L., Musselman K. N., Durand M. T., 2009, Examination of the implications of snow model complexity, stratigraphy and grain-size representation on SWE estimation via passive microwave radiance data assimilation, American Geophysical Union, Fall Annual Meeting (Invited).
  6. Gu, J., Li, X., Huang, C. L., Ho, Y. Y., 2008, ICA-based multi-temporal multi-spectral remote sensing images change detection. Proceedings of SPIE – The International Society for Optical Engineering, v 6960, Space Exploration Technologies, 2008, p 69600R.
  7. Gu, J., Li, X., Huang, C. L., 2008, Land Cover Classification in Heihe River Basin with Time Series – MODIS NDVI Data, Fourth International Conference on Fuzzy Systems and Knowledge Discovery, vol. 2, 477-481 (EI)
  8. Li, X. M., Lu, L., Li, X., Yang, W. F., Huang, C. L., Remote sensing retrieval of daily evapotranspiration over the Heihe river basin by integrating the Penman method. IEEE International GeoScience and Remote Sensing Symposium,Boston, Massachusetts, U.S.A, July 6-11, 2008.
  9. Huang, C. L., Li, X., and Gu, J., 2008. Estimation of regional soil moisture by assimilating multisensory passive microwave remote sensing observations based on ensemble Kalman filter. In: Proceedings of IGARSS’08, IEEE International GeoScience and Remote Sensing Symposium,Boston, Massachusetts, U.S.A, July 6-11, 2008.
  10. Huang, C. L., Li, X., Wang, J. M., Gu, J., 2008. Assimilation of Remote Sensing Data Products into Common Land Model for Evapotranspiration forecasting. Proceedings of the 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Shanghai, P. R. China, June 25-27, 2008, pp. 234-241.
  11. Gu, J. , Li, X., Huang, C. L., Spatio-Temporal Reconstruction of MODIS NDVI Data Sets Based on Data Assimilation Methods. Proceedings of the 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Shanghai, P. R. China, June 25-27, 2008, pp. 234-241. (ISTP)
  12. Lu, L., Li, X., Huang, C. L., Veroustraet, F., 2007, Using remote sensing to estimate water use efficiency in western China, In: Proceedings of IGARSS’07, IEEE International GeoScience and Remote Sensing Symposium, VOLS 1-12 – SENSING AND UNDERSTANDING OUR PLANET : 4538-4541
  13. Ma, M. G., Veroustraete, F., Lu, L., Li, X., Ceulemans, R., Bogaert, J., Huang, C. L., Che, T., Dong, Q. H., 2007, Validating the MODIS LAI Product by Scaling up LAI Measurements at a VALERI Alpine Meadow Site, China. Proceedings of SPIE, Vol. 674, pp 67420V: 1-8.
  14. Li, X., Huang, C. L., Che, T., Jin, R., Wang, S. G., Qiu, C. J., Zhang, S. W., Wang, C. H., 2006, Assimilating passive microwave remote sensing data in land surface model for the better predictability of land surface states. International Symposium on Future Intelligent Earth Observing Satellites.
  15. Huang, C. L., Li X. 2005, Experiments of soil moisture data assimilation system based on ensemble Kalman filter. ISPMSRS 2005 Conference Proceedings, Beijing, China.
  16. Huang, C. L., Li X., Lu L., 2005, Retrieving Leaf Area Index with a canopy reflectance model by using simulated annealing algorithm. ISPMSRS 2005 Conference Proceedings, Beijing, China.
  17. Lu, L., Li, X., Bogaert, J., Ma, M.G., Che, T., Huang, C. L., Veroustraete, F., Dong, Q.H., and Ceulemans, R. 2004, Investigating Relationship between Landsat ETM+ Data and LAI in a Semi-arid Grassland of Northwest China In: Proceedings of IGARSS’04, 2004 IEEE International GeoScience and Remote Sensing Symposium. Anchorage, Alaska, September 20-24.

 

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