基本信息
贾立  女  博导  中国科学院空天信息创新研究院
电子邮件: jiali@aircas.ac.cn
通信地址: 北京大屯路甲20号(9718信箱)
邮政编码: 100101

研究领域

地表能量及水分循环过程遥感反演、模拟及试验研究

定量遥感及其在全球变化、干旱及植被动态监测应用研究

冰冻圈遥感

招生信息

   
招生方向
水循环遥感
陆面水热交换过程模拟
冰冻圈遥感
招生专业

070503-地图学与地理信息系统

教育背景

2000-09--2004-09   荷兰瓦赫宁根大学   理学博士
1994-09--1997-06   中国科学院兰州高原大气物理所 (现为中国科学院西北生态环境资源研究院)   理学硕士

工作经历

2020-04~现在,中国科学院空天信息创新研究院,遥感科学国家重点实验室,研究员,水循环遥感研究室主任

2009-08~2020-03, 中国科学院遥感与数字地球研究所, 遥感科学国家重点实验室,研究员,水循环遥感研究室主任
2004-10~2014-12, 荷兰瓦赫宁根大学与研究中心, 研究员
2002-07~2004-11, 荷兰瓦赫宁根大学与研究中心, 博士后
1999-06~2000-08, 荷兰SC-DLO研究中心, 访问学者
1988-08~1999-05, 中国科学院兰州高原大气物理研究所 (现为中国科学院西北生态环境资源研究院), 研究实习员、助理研究员及副研究员

专利与奖励

   
奖励信息
(1) 非均匀下垫面地表蒸散发观测与遥感估算的理论与方法, 二等奖, 部委级, 2017
专利成果
( 1 ) 卫星遥感时间序列预处理及分析软件, 实用新型, 2010, 第 2 作者, 专利号: 2010SRBJ6590

科研活动

   
科研项目(近5年)

1. 科技部“第二次青藏高原综合科学考察研究”专项 的“西风 -季风协同作用及其影响” (项目)“地气相互作用及其候效应”(专题)之子专题“西风-季风作用区非均匀下垫面地气相互作用机载通量观测试验研究”,子专题负责人,2019-2024。 

2. 中国科学院战略性先导专项“地球大数据科学工程”的 “数字一带一路”(XDA19030000)项目子课题“一带一路水资源要素监测”(XDA19030203),子课题负责人,2017-2022。 

3. OPERANDUM: OPEn-air laboRAtories for Nature baseD solUtions to Manage environmental risks (EC Grant Agreement no. 776848), 欧盟地平线2020计划项目 (Horizon 2020 project),Co-PI, 2018-2022. 

4. 萨赫勒地区土地覆盖与土地利用变化驱动机制及其影响 (41661144022), 国家自然科学基金国际(地区)合作与交流项目,项目负责人,2017-2021。 

5. 全球资源环境遥感创新团队,科技部创新人才推进计划重点领域创新团队项目,团队骨干,2018- 。

6. Satellite Observations For Improving Irrigation Water Management (Sat4IrriWater), 中欧龙计划合作第五期, 项目负责人,2020 – 2024。 

7. 冰冻圈与陆表水循环遥感,科技部-国家外国专家局“外专****”长期项目,项目负责人,2016-2019。 

8. 中国科学院国际合作局对外合作重点项目《泛第三极环境与“一带一路”协同发展》项目CAS-NASA中美高亚洲合作 “高亚洲典型环境要素数据集产品生成研究” 专题,专题负责人,2016-2020。 

9. 一带一路水资源空间认知研究,中科院“一带一路”专项项目,子课题负责人,2016-2020。 

10. 高分辨率陆表能量水分交换过程的机理与尺度转换研究,国家重点基础研究发展计划(973计划)项目 《全球陆表能量和水分交换过程及其与全球变化相互作用的卫星观测与模拟研究》 第二课题“高分辨率地表能量与水分交换过程及时空尺度转换研究” (2015CB953702), 课题负责人,2015-2019。

发表文章

   
SCI文章

  • Ren S.T., M. Menenti, L. Jia*, J. Zhang, J. Zhang, X. Li, 2020, Glacier mass balance in the Nyainqentanglha Mountains between 2000 and 2017 retrieved from ZiYuan-3 stereo images and the SRTM DEM, Remote Sensing, 2020, 12, 864; doi:10.3390/rs12050864.
  • Zheng C.L.*, L. Jia*, 2020, Global canopy rainfall interception loss derived from satellite earth observations, Ecohydrology, https://doi.org/10.1002/eco.2186.
  • Xie Q., M. Menenti, L. Jia*, 2019, Improving the AMSR-E/NASA soil moisture data product using in-situ measurements in the Tibetan Plateau, Remote Sensing, 2019, 11, 2748; doi:10.3390/rs11232748.
  • Yuan X.T., L. Jia*, M.Menenti, J. Zhou, X. Yuan, 2019,  Filtering the NPP-VIIRS Nighttime Light Data for improved detection of settlements in developing Africa, Remote Sensing, 2019, 11, 3002; doi:10.3390/rs11243002.
  • Chen  Q., L. Jia*, M. Menenti, R. Hutjes, G. Hu, C. Zheng, K. Wang, 2019, A Numerical Analysis of Aggregation Error in Evapotranspiration Estimates  Due to Heterogeneity of Soil Moisture and Leaf Area Index, Agricultural  and Forest Meteorology, Volumes 269–270, 15 May 2019, Pages 335-350. https://doi.org/10.1016/j.agrformet.2019.02.017.
  • van  Hoek M, J. Zhou, L. Jia*, J.  Lu, C. Zheng, G. Hu and M. Menenti, 2019, A prototype web-based analysis platform for drought monitoring and early warning, International Journal of Digital Earth, DOI: 10.1080/17538947.2019.1585978.
  • Zhang J., L. Jia*, M. Menenti, and G. Hu, 2019, Glacier Facies Mapping Using a Machine-Learning Algorithm: The Parlung Zangbo Basin Case Study, Remote Sensing, 2019, 11, 452; doi:10.3390/rs11040452. 
  • Zheng C., L. Jia, G. Hu and J. Lu, Earth Observations-Based Evapotranspiration in Northeastern Thailand, Remote Sensing, 2019, 11, 138; doi:10.3390/rs11020138.
  • Sun Y., L. Jia*, Q. Chen, and C. Zheng, Optimizing Window Length for Turbulent Heat Flux Calculations from Airborne Eddy Covariance Measurements under Near Neutral  to Unstable Atmospheric Stability Conditions, Remote Sensing, 2018, 10, 670; doi:10.3390/rs10050670.
  • Lu J., L. Jia*, M. Menenti, Y. Yan, C. Zheng, and J. Zhou, 2018, Performance of the Standardized Precipitation Index Based on the TMPA and CMORPH Precipitation Products for Drought Monitoring in China, IEEE  Journal Of Selected Topics In Applied Earth Observations And Remote Sensing (IEEE JSTARS), 11(5), 1387-1396; DOI: 10.1109/JSTARS.2018.2810163
  • Wang N., L. Jia*, C. Zheng, M. Menenti, 2017, Estimation of subpixel snow sublimation from multispectral satellite observations, Journal of Applied Remote Sensing, 11(4), 046017 (2017), doi: 10.1117/1.JRS.11.046017.
  • Huang T., L. Jia*, M. Menenti, J. Lu, J. Zhou and G. Hu, 2017, A New Method to Estimate Changes in Glacier Surface Elevation Based on Polynomial Fitting of Sparse ICESat-GLAS Footprints,  Sensors 2017, 17, 1803; doi:10.3390/s17081803.
  • Lu S., L. Jia, L. Zhang, Y. Wei, M. H. A. Baig, Z. Zhai, J. Meng, X. Li, G. Zhang, 2017, Lake water surface mapping in the Tibetan Plateau using the MODIS MOD09Q1 product, Remote Sensing Letters, 8(3), 224-233, 2017. http://dx.doi.org/10.1080/2150704X.2016.1260178,
  • Li N.N., L. Jia*, J. Lu, M. Menenti, J. Zhou, 2017, Regional surface soil heat flux estimate from multiple remote sensing data in a temperate and semi-arid basin, Journal of Applied Remote Sensing, 11(1), 016028 (Feb 17, 2017). doi: 10.1117/1.JRS.11.016028.
  • Gao B., H. Gong, T. Wang, and L. Jia, Reconstruction of MODIS Spectral Reflectance under Cloudy-Sky Condition, Remote Sensing, 2016, 8(9), 727;  doi:10.3390/rs8090727.
  • Shang H.L., L. Jia*, M. Menenti*, 2016, Modeling and Reconstruction of Time Series of Passive Microwave Data by Discrete Fourier Transform Guided Filtering and Harmonic Analysis, Remote Sensing, 2016, 8, 970; doi: 10.3390/rs8110970.
  • Zhou J., Jia L.*, Menenti M., Gorte B., 2016, On the performance of remote sensing time series reconstruction methods – a spatial comparison, Remote Sensing of Environment, 187, 367–384.
  • Song C., Jia L.*, 2016, A Method For Downscaling FengYun-3B Soil Moisture Based On Apparent Thermal Inertia, Remote Sensing, 8, 703; doi:10.3390/rs8090703.
  • Roupioz L., L. Jia, F.  Nerry, M. Menenti, 2016, Estimation of Daily Solar Radiation Budget at Kilometer Resolution over the Tibetan Plateau by Integrating MODIS Data Products and  a DEM, Remote Sensing, 2016, 8(6), 504; doi:10.3390/rs8060504.
  • van Hoek M, L. Jia*, J. Zhou, C. Zheng, M., Menenti, 2016, Early Drought Detection by Spectral Analysis of Satellite Time Series of Precipitation and Normalized Difference Vegetation Index (NDVI). Remote Sensing, 8(422): 1-17. doi:10.3390/ rs8050422.
  • Zhang S., Chen L.F., Su L., Jia L., 2015. A data  assimilation-based method for optimizing parameterization schemes in a land surface process model. SCIENCE CHINA Earth Sciences, 2015, 58 (12):  2220-2235.
  • Roupioz L., J. Colin, L. Jia, F. Nerry, and M. Menenti, 2015, Quantify the impact of cloud cover on radiation fluxes ground measurements from hemispherical images, International Journal of Remote Sensing, Vol. 36, Nos. 19–20, 5087–5104, http://dx.doi.org/10.1080/01431161.2015.1084440.
  • Zhou J., L. Jia*, and M. Menenti, 2015, Reconstruction of Global MODIS Vegetation Index Time Series: Performance of Harmonic ANalysis of Time Series (HANTS), Remote Sensing of  Environment, 163, 217-228; 10.1016/j.rse.2015.03.018.
  • Shang H.L., L. Jia*, M. Menenti, 2015,  Analyzing the Inundation Pattern of the Poyang Lake Floodplain by Passive Microwave Data. Journal of Hydrometeorology, 16(2), 652–667; doi: http://dx.doi.org/10.1175/JHM-D-14-0022.1.
  • Li N.N., L. Jia*, J. Lu, 2015, An improved algorithm to estimate the surface soil heat flux over a heterogeneous  surface: a case study in the Heihe River Basin, Science in China, 58(7), 1169-1181; doi: 10.1007/s11430-014-5041-y.
  • Chen Q.T., L. Jia*, R. Hutjes, M. Menenti,  2015, Estimation of Aerodynamic Roughness Length over Oasis in the Heihe River Basin by Utilizing Remote Sensing and Ground Data, Remote Sensing,  2015, 7(4), 3690-3709; doi:10.3390/rs70403690.
  • Hu G.C. and L. Jia*, 2015, Monitoring of Evapotranspiration in a Semi-Arid Inland River Basin by Combining Microwave and Optical Remote Sensing Observations, Remote Sensing, 7(3), 3056-3087; doi:10.3390/rs70303056.
  • Li Z.S., L. Jia*, G. C. Hu, J. Lu, Q.T. Chen,  J.X. Zhang and K. Wang, 2015, Estimation of Growing Season Daily ET in the  Middle Stream and Downstream Areas of the Heihe River Basin Using HJ-1 Data, IEEE Geoscience and Remote  Sensing Letters, 12(5), 948 – 952, DOI:  10.1109/LGRS.2014.2368694.
  • Bai J., L. Jia*, S. Liu, Z. Xu, G.C. Hu, M. Zhu, 2015, Characterizing the Footprint of Eddy Covariance System and Large Aperture Scintillometer Measurements to Validate Satellite-based Surface Fluxes, IEEE Geoscience and Remote Sensing Letters, 12(5),  943 – 947, doi: 10.1109/LGRS.2014.2368580.
  • Ouyang X., L. Jia, Y.Q. Pan, G.C. Hu, 2015, Retrieval of the land surface temperature over the Heihe River Basin by using the thermal infrared data of HJ-1B, Remote Sensing, 7(1), 300-318;  doi:10.3390/rs70100300.
  • Hu G.C., L. Jia*, Menenti M. 2015, Comparison  of MOD16 and LSA-SAF MSG evapotranspiration products over Europe for 2011. Remote Sensing of Environment, 156, 510–526, doi:10.1016/j.rse.2014.10.017.
  • Li,  Z.S., L. Jia*, J. Lu, 2015, On Uncertainties of the Priestley-Taylor/LST-Fc Feature Space Method to Estimate Evapotranspiration: Case Study in An Arid/Semiarid Region in Northwest China, Remote Sensing, 7(1), 447-466, doi:10.3390/rs70100447.
  • Cui Y.K., L. Jia*, G.C. Hu, and J. Zhou, 2015, Mapping of Interception Loss of Vegetation in the Heihe River Basin of China Using Remote Sensing Observations, IEEE Geoscience and Remote Sensing Letters, 12(1), 23 – 27; doi:10.1109/LGRS.2014.2324635.
  • Roupioz L, F. Nerry, L. Jia, and M. Menenti, 2014, Improved Surface Reflectance from Remote Sensing Data with Sub-Pixel Topographic Information, Remote Sensing, 2014, 6(11), 10356-10374; doi: 10.3390/rs61110356.
  • Cui Y.K., L. Jia*, 2014, A Modified Gash Model for Estimating Rainfall Interception Loss of Forest Using Remote Sensing Observations at Regional Scale, Water, 2014, 6(4), 993-1012; doi:10.3390/w6040993.
  • Song CY, L. Jia*, M. Menenti, 2014, Retrieving High-Resolution Surface Soil Moisture By Downscaling AMSR-E Brightness Temperature Using MODIS LST And NDVI Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(3), 935 – 942; doi: 10.1109/JSTARS.2013.2272053.
  • Gao B. and L. Jia*, 2014, Derivation of land surface albedo at high resolution by combining HJ-1A/B reflectance observations and MODIS BRDF products, Remote Sensing, 2014, 6(9), 8966-8985; doi:10.3390/rs6098966.
  • Gao, B., L. Jia*, M. Menenti, 2014, An improved method of retrieving land surface albedo over rugged terrain, IEEE Geoscience and Remote Sensing Letters, 11(2): 554 - 558, doi: 10.1109/LGRS.2013.2275072.
  • Jia L., H. Shang, G. Hu, and M. Menenti, 2011, Phenological response of vegetation to upstream river flow in the Heihe River basin by time series analysis of MODIS data, Hydrology and Earth System Sciences, 15, 1047–1064.
  • Liu S., J. Bai, Z. Jia, L. Jia, H. Zhou, and L. Lu, 2010, Estimation of evapotranspiration in the Mu Us Sandland of China, Hydrology and Earth System Sciences, 14, 573–584, 2010.
  • Jia L.,, G. Xi, S. Liu, C.  Huang, Y. Yan, G. Liu, 2009,  Regional estimation of Daily to Annual Regional Evapotranspiration with MODIS data in the Yellow River Delta wetland, Hydrology and Earth System Sciences, 13, 1775-1787.
  • van der Kwast, J., W. Timmermans, A. Gieske, Z. Su, A. Olioso, L. Jia, J. Elbers, D. Karssenberg, and S. de Jong, 2009, Evaluation of the Surface Energy Balance System(SEBS) applied to ASTER imagery with flux-measurements at the SPARC 2004 site (Barrax, Spain), 2009, paper  submitted to Special Issue on ‘“Advances in Land Surface Hydrological Processes - Field Observations, Modeling and Data Assimilation”,  Hydrology and Earth System Sciences, 13, 1337–1347.
  • Su Z., W.J. Timmermans, C. van der Tol,  R. Dost, R. Bianchi , J.A. Gómez, A. House, I. Hajnsek, M. Menenti, V. Magliulo, M. Esposito , R. Haarbrink, F. Bosveld, R. Rothe, H.K. Baltink,  Z. Vekerdy , J.A. Sobrino, J. Timmermans, P. van Laake, S. Salama , H. van der Kwast, E. Claassen, A. Stolk, L. Jia, E. Moors , O. Hartogensis, A. Gillespie, 2009, EAGLE 2006 – Multi-purpose, multi-angle and multi-1 sensor in-situ 2 and airborne campaigns over grassland and forest, Special Issue on ‘Advances in Land Surface Hydrological Processes - Field Observations, Modeling and Data Assimilation’, Hydrology and Earth System Sciences, 13, 833–845.
  • Sobrino, J. A., J. C. Jiménez-Muñoz, P. J. Zarco-Tejada, G. Sepulcre-Cantó, E. de Miguel, G. Sòria, M. Romaguera, Y. Julien, J. Cuenca, V. Hidalgo, B. Franch, C. Mattar, L. Morales, A. Gillespie, D. Sabol, L. Balick, Z. Su, L. Jia, A. Gieske, W. Timmermans,  A. Olioso, F. Nerry, L. Guanter, J. Moreno, and Q. Shen, 2009, Thermal remote sensing from Airborne Hyperspectral Scanner data in the framework of the SPARC and SEN2FLEX projects: an overview. Hydrology and Earth System Sciences, 13, 2031-2037.
  • Lu L., S. Liu, Z. Xu, K. Yang, X. Cai, L. Jia, and K. Wang, 2009, The characteristics and  parameterization of aerodynamic roughness length over heterogeneous surfaces, ADVANCES IN ATMOSPHERIC SCIENCES, 26 (1), 180–190.
  • Su, Z., W. Timmermans, A. Gieske, L. Jia, J. A. Elbers, A. Olioso, J. Timmermans, R. Van Der Velde, X. Jin, H. Van Der Kwast, F. Nerry, D. Sabol, J. A. Sobrino, J. Moreno, R. Bianchi, 2008,  Quantification of land-atmosphere exchanges of water, energy and carbon      dioxide in space and time over the heterogeneous Barrax site, International Journal of Remote Sensing, Vol.29(17-18), 5215 – 5235.
  • Liu, S., L. Lu, D. Mao, and L. Jia, 2007, Evaluating parameterizations of aerodynamic resistance to heat transfer using field measurements, Hydrology and Earth System Sciences, 11, 769–783.
  • Verhoef, W., L. Jia, Q. Xiao, Z. Su, 2007. Unified optical-thermal four-stream radiative transfer theory for homogeneous vegetation canopies.IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, no.6, 1808-1822.
  • Ma, Y., M. Song, H. Ishikawa, K. Yang, T. Koike, L. Jia, M. Menenti and Z. Su, 2007. Estimation of the regional evaporative fraction over the Tibetan Plateau area by using Landsat-7 ETM data and the field observations. J. Meteorol. Soc. Japan, 85A, 295 – 309.
  • Jia, L., Z.-L. Li, M. Menenti, Z. Su, W. Verhoef and Z. Wan, 2003, A practical algorithm to infer soil and foliage component temperatures from bi-angular ATSR-2 data, International Journal of Remote Sensing, International Journal of Remote Sensing, 24 (23), 4739–4760.
  • Jia, L., Su, Z., van den Hurk, B. J.J.M., Menenti, M., et al, 2003, Estimation of sensible heat flux using the Surface Energy Balance System(SEBS) and ATSR measurements, Journal of Physics and Chemistry of the Earth28, 75-88.
  • Li, Z.-L., Jia, L., Su, Z., Wan, Z., and Zhang, R., 2003, A New Approach for Retrieving Precipitable Water From ATSR2 Split-Window Channel Data Over Land Area, International Journal of Remote Sensing, 24 (24), 5059-5117.
  • Van den Hurk, B.J.J.M., Jia, L., Jacobs, C., Menenti, M., and Li, Z.-L., 2002, Assimilation of land surface temperature data from ATSR in an NWP environment – a case study, International Journal of Remote Sensing, 23 (24), 5193-5210.
  • Menenti, M., L. Jia, Z.-L. Li V. Djepa, J. Wang, M.P. Stoll, Z.B. Su and M. Rast, 2001, Estimation of soil and vegetation temperatures with directional thermal infrared observations: the IMGRASS, HEIFE and SGP’97 experiments, Journal of Geophysical Research, 106 (D11), 11,997-12,010.
  • Li Z.-L., M.P. Stoll, R.H. Zhang, L. Jia and Z. Su, 2000, Study on the estimation of soil and vegetation component temperatures from ATSR2 data, Science in China, E30 (English Edition): 27-38.

中文核心期刊文章

  • 卢静,贾立,郑超磊,等.遥感水分收支对区域水资源估算潜能.遥感技术与应用,201934(3): 630-638. doi:10.11873/j.isnn.1004-0323.

  • 黄田进,梁丁丁,贾立*,张静潇,卢静,周杰,2017,青藏高原地区湖泊面积插补迭代自动提取,遥感技术与应用, 2017 , 32 (2) :289-298

  • 吴保见,王昆,贾立,郭瑞萍, 2016, 源项对FLEXPART模拟福岛核事故放射性核素大气长距离传输的影响, 气候与环境研究, 接收。

  • 张生雷,陈良富,苏林,贾立,2015,一种基于数据同化优化陆面过程模式参数化方案的方法,中国科学: 地球科学, 2015  4512: 1907 ~ 1922

  • 王宁,贾立, 李占胜,李娜娜,2016,胡光成.非参数化蒸散发方法在黑河流域的适用性分析,《高原气象》,351):118- 128

  • 李娜娜, 贾立, 卢静,2015,复杂下垫面地表土壤热通量算法改进:以黑河流域为例,中国科学: 地球科学,201545(4): 494-507

  • 潘颖琪,贾立,2015,基于MTSAT-1R数据的地表温度反演,《遥感技术与应用》,304),626 - 637

  • 杨锦鑫,贾立,2014,基于双角度AATSR遥感数据的组分温度反演,《遥感技术与应用》,2014, 29 (2): 247-257

  • 奚歌,刘绍民,贾立,2008,黄河三角洲湿地蒸散量与典型植被生态需水量的遥感研究, 《生态学报》, 28(11)5356-5369

  • 何延波, Z. Su, L. Jia, 王石立, 2007, 遥感数据支持下不同地表覆盖的区域蒸散, 《应用生态学报》, 2007, 18(2) : 288~296

  • 何延波, Su ZB, 贾立, 2006, SEBS模型在黄淮海地区地表能量通量估算中的应用,《高原气象, 2006, 25(6): 1092~1102

  • 贾立,王介民,M.Menenti,卫星遥感结合地面资料对区域表面动量粗糙度的估算,《大气科学》,1999, 23(5): 632-640

  • 贾立,王介民.绿洲和沙漠复合地表条件下的局地和有效粗糙度.气象学报,1999, 57(3): 346-357

  • 贾立, 王介民, 胡泽勇, 2000,干旱区热力学粗糙度特征及对感热通量估算的影响, 《高原气象》, 2000,19(4):495-503

  • 祁永强,王介民,贾立,刘巍,马耀明,任燕霞,1996,青藏高原五道梁地区湍流输送特征的研究,《高原气象》,199602; 43-48

  • 贾立, 王介民,1999,黑河实验区地表植被指数的区域分布及季节变化,《高原气象》, 1999, 18(2): 245-249

  • 贾立, 王介民, 刘巍,1994,黑河试验区春小麦田间的环境因子对蒸腾和光合作用的影响,《高原气象》,1994,13(3):359-368

  • 王介民,邱琪,贾立,1992,河谷城市大气湍流特征及其在大气扩散研究中的应用,《中国环境科学》,12(3), 161-166

  • 杨龙元, 任燕霞, 贾立,1991,青海省五道梁降水化学组成的初步分析,《高原气象》, 1991, 10(2): 209-216

社会兼职

• 亚大对地观测组织(AOGEO)干旱监测与评估任务组联合主席; 

• “数字一带一路”(DBAR)国际大科学计划水工作组联合主席; 

• 全球能量与水循环试验计划(GEWEX)水文气候专家组(GHP)成员;

•《遥感技术与应用》、《高原气象》期刊编委。