基本信息
李静  女  硕导  中国科学院空天信息创新研究院
电子邮件: lijing01@radi.ac.cn
通信地址: 北京市9718信箱
邮政编码: 100101

研究领域

长期从事植被辐射传输模型、植被参数定量遥感反演与真实性检验、植被变化监测及农业遥感应用研究。


招生信息

   
招生专业
085400-电子信息
招生方向
植被辐射传输模型
植被参数反演
全球植被变化分析

教育背景

2003-09--2007-06   中国科学院遥感应用研究所   博士
1998-09--2002-06   浙江大学   理学学士
学历
博士
学位
博士

工作经历

2007年7月-现在,中国科学院空天信息创新研究院,副研

20085月-20095月,荷兰瓦格宁根大学的Alterra研究所做访问学者。 

20141- 201412月, CSC资助赴澳大利亚悉尼科技大学做访问学者


专利与奖励

   
专利成果
[1] 柏军华, 柳钦火, 肖青, 李静, 张召星. 一种适用于野外连续观测的植被株高自动测定方法及系统. CN: CN112595243A, 2021-04-02.
[2] 李静, 朱欣然, 柳钦火, 赵静, 董亚冬. 叶面积指数时间序列重建方法、装置、设备及存储介质. CN: CN111723328A, 2020-09-29.
[3] 李静, 林尚荣, 柳钦火, 赵静, 董亚冬. 全球中高分辨率植被总初级生产力产品的计算方法及装置. CN: CN111582703A, 2020-08-25.
[4] 李静, 于文涛, 柳钦火, 赵静, 董亚冬. 一种植被指数产品的计算方法及装置. CN: CN111487200A, 2020-08-04.
[5] 董亚冬, 李静, 柳钦火, 赵静. 一种中分辨率叶面积指数产品的校正方法及装置. CN: CN111402322A, 2020-07-10.
[6] 李静, 张虎, 柳钦火, 赵静, 董亚冬. 叶片叶绿素含量反演方法、装置、电子设备及存储介质. CN: CN111398178A, 2020-07-10.

出版信息

   
发表论文
[1] Liu, Chang, Li, Jing, Liu, Qinhuo, Xu, Baodong, Dong, Yadong, Zhao, Jing, Mumtaz, Faisal, Gu, Chenpeng, Zhang, Hu. Global Comparison of Leaf Area Index Products over Water-Vegetation Mixed Heterogeneous Surface Network (HESNet-WV). REMOTE SENSING[J]. 2023, 15(5): http://dx.doi.org/10.3390/rs15051337.
[2] 董亚东, 李静. A Method for Retrieving Coarse-Resolution Leaf Area Index for Mixed Biomes Using a Mixed-Pixel Correction Factor. Ieee Transactions on Geoscience and Remote Sensing[J]. 2023, 61: 1-17, [3] Mumtaz, Faisal, Li, Jing, Liu, Qinhuo, Tariq, Aqil, Arshad, Arfan, Dong, Yadong, Zhao, Jing, Bashir, Barjeece, Zhang, Hu, Gu, Chenpeng, Liu, Chang. Impacts of Green Fraction Changes on Surface Temperature and Carbon Emissions: Comparison under Forestation and Urbanization Reshaping Scenarios. REMOTE SENSING[J]. 2023, 15(3): http://dx.doi.org/10.3390/rs15030859.
[4] Sun Genyun, Li Zheng, Zhang Aizhu, Wang Xin, Ding Sunjinyan, Jia Xiuping, 李静. High-resolution and Multitemporal Impervious Surface Mapping in the Lancang-Mekong Basin with Google Earth Engine. Earth System Science Data[J]. 2022, [5] Zhang, Hu, Li, Jing, Liu, Qinhuo, Lin, Shangrong, Huete, Alfredo, Liu, Liangyun, Croft, Holly, Clevers, Jan G P W, Zeng, Yelu, Wang, Xiaohan, Gu, Chenpeng, Zhang, Zhaoxing, Zhao, Jing, Dong, Yadong, Mumtaz, Faisal, Yu, Wentao. A novel red-edge spectral index for retrieving the leaf chlorophyll content. METHODS IN ECOLOGY AND EVOLUTION[J]. 2022, 13(12): 2771-2787, http://dx.doi.org/10.1111/2041-210X.13994.
[6] Zhao, Jing, Li, Jing, Liu, Qinhuo, Zhang, Zhaoxing, Dong, Yadong. Comparative Study of Fractional Vegetation Cover Estimation Methods Based on Fine Spatial Resolution Images for Three Vegetation Types. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2022, 19: http://dx.doi.org/10.1109/LGRS.2022.3222018.
[7] Yin, Gaofei, Qu, Yonghua, Verger, Aleixandre, Li, Jing, Jia, Kun, Xie, Qiaoyun, Liu, Guoxiang. Smartphone Digital Photography for Fractional Vegetation Cover Estimation. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING[J]. 2022, 88(5): 303-310, http://dx.doi.org/10.14358/PERS.21-00038R2.
[8] Cong Wang, Jing Li, Qinhuo Liu. Eastern-Pacific and Central-Pacific Types of ENSO Elicit Diverse Responses of Vegetation in China and Australia. Geophysical Research Letters[J]. 2022, [9] Xinran Zhu, Jing Li, Qinhuo Liu. Use of a BP Neural Network and Meteorological Data for Generating Spatiotemporally Continuous LAI Time Series. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2021, [10] Hu Zhang, Jing Li, Qinhuo Liu, Yadong Dong, Songze Li, Zhaoxing Zhang, Xinran Zhu, Liangyun Liu, Jing Zhao. Estimating Leaf Area Index with Dynamic Leaf Optical Properties. REMOTE SENSING[J]. 2021, 13: [11] Shangrong Lin, Jing Li, Qinhuo Liu, Beniamino Gioli, Eugenie PaulLimoges, Nina Buchmann, Mana Gharun, Lukas Hrtnagl, Lenka Foltnov, Ji Duek, Longhui Li, Wenping Yuan. Improved global estimations of gross primary productivity of natural vegetation types by incorporating plant functional type. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATIONS AND GEOINFORMATION. 2021, 100: http://dx.doi.org/10.1016/j.jag.2021.102328.
[12] wentao yu, Jing Li, Qinhuo Liu. Spatial–Temporal Prediction of Vegetation Index With Deep Recurrent Neural Networks. IEEE Geoscience and Remote Sensing Letters[J]. 2021, [13] Shangrong Lin, Nicholas C Coops, Riccardo Tortini, Wen Jia, Zoran Nesic, Eric Beamesderfer, M Altaf Arain, Jing Li, Qinhuo Liu. Species and stand-age driven differences in photochemical reflectance index and light use efficiency across four temperate forests. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATIONS AND GEOINFORMATION. 2021, 98: http://dx.doi.org/10.1016/j.jag.2021.102308.
[14] Wu, Shengbiao, Zeng, Yelu, Hao, Dalei, Liu, Qinhuo, Li, Jing, Chen, Xiuzhi, Asrar, Ghassem R, Yin, Gaofei, Wen, Jianguang, Yang, Bin, Zhu, Peng, Chen, Min. Quantifying leaf optical properties with spectral invariants theory. REMOTE SENSING OF ENVIRONMENT[J]. 2021, 253: http://dx.doi.org/10.1016/j.rse.2020.112131.
[15] Wentao Yu, Jing Li, Qinhuo Liu, Jing Zhao, Yadong Dong, Xinran Zhu, Shangrong Lin, Hu Zhang, Zhaoxing Zhang. Gap Filling for Historical Landsat NDVI Time Series by Integrating Climate Data. REMOTE SENSING[J]. 2021, 13(3): https://doaj.org/article/60c5fbc92f1e41ae9637407cea4126ad.
[16] Yin, Gaofei, Li, Jing, Xu, Baodong, Zeng, Yelu, Wu, Shengbiao, Yan, Kai, Verger, Aleixandre, Liu, Guoxiang. PLC-C: An Integrated Method for Sentinel-2 Topographic and Angular Normalization. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2021, 18(8): 1446-1450, http://dx.doi.org/10.1109/LGRS.2020.3001905.
[17] Yu, Wentao, Li, Jing, Liu, Qinhuo, Yin, Gaofei, Zeng, Yelu, Lin, Shangrong, Zhao, Jing. A Simulation-Based Analysis of Topographic Effects on LAI Inversion Over Sloped Terrain. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2020, 13: 794-806, https://doaj.org/article/8148a1547c5c4ff093d11d67b28e0d0e.
[18] Zeng, Yelu, Badgley, Grayson, Chen, Min, Li, Jing, Anderegg, Leander D L, Kornfeld, Ari, Liu, Qinhuo, Xu, Baodong, Yang, Bin, Yan, Kai, Berry, Joseph A. A radiative transfer model for solar induced fluorescence using spectral invariants theory. REMOTE SENSING OF ENVIRONMENT[J]. 2020, 240: http://dx.doi.org/10.1016/j.rse.2020.111678.
[19] Li Jing. A method for improving the accuracy of the moderate resolution LAI product based on the mixed-pixel clumping index. 会议文章IGRSS2020. 2020, [20] Li Jing. Generating spatial-temporal continuous LAI time-series from Landsat using neural network and meteorological data. 会议文章IGRSS2020. 2020, [21] Xu, Baodong, Li, Jing, Park, Taejin, Liu, Qinhuo, Zeng, Yelu, Yin, Gaofei, Yan, Kai, Chen, Chi, Zhao, Jing, Fan, Weiliang, Knyazikhin, Yuri, Myneni, Ranga B. Improving leaf area index retrieval over heterogeneous surface mixed with water. REMOTE SENSING OF ENVIRONMENT[J]. 2020, 240: http://dx.doi.org/10.1016/j.rse.2020.111700.
[22] Yin, Gaofei, Cao, Biao, Li, Jing, Fan, Weiliang, Zeng, Yelu, Xu, Baodong, Zhao, Wei. Path Length Correction for Improving Leaf Area Index Measurements Over Sloping Terrains: A Deep Analysis Through Computer Simulation. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2020, 58(7): 4573-4589, http://ir.imde.ac.cn/handle/131551/35173, http://www.irgrid.ac.cn/handle/1471x/6923131, http://ir.imde.ac.cn/handle/131551/35174, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000543775800007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=3a85505900f77cc629623c3f2907beab.
[23] Li Jing. Evaluation and Normalization of Topographic Effects on Vegetation Indice. Remote Sensing. 2020, [24] Li Jing. Spatial-temporal prediction of vegetation index with a convolutional GRU network. 会议文章IGRSS2020. 2020, [25] Li Jing. A highly chlorophyll-sensitive and LAI-insensitive index based on the red-edge band: CSI. 会议文章IGRSS2020. 2020, [26] Zeng, Yelu, Li, Jing, Liu, Qinhuo, Huete, Alfredo R, Xu, Baodong, Yin, Gaofei, Fan, Weiliang, Ouyang, Yixuan, Yan, Kai, Hao, Dalei, Chen, Min. A Radiative Transfer Model for Patchy Landscapes Based on Stochastic Radiative Transfer Theory. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2020, 58(4): 2571-2589, http://dx.doi.org/10.1109/TGRS.2019.2952377.
[27] Jing Zhao, Jing Li, Qinhuo Liu. Estimating Fractional Vegetation Coverage from Leaf Area Index and Clumping Index Based on the Gap Probability Theory. International Journal of Applied Earth Observations and Geoinformation[J]. 2020, [28] 陈勇, 李静, 孙林, 马培培, 柳钦火, 董亚冬. 叶面积指数产品真实性检验系统设计与实现. 遥感信息[J]. 2020, 35(5): 57-65, http://lib.cqvip.com/Qikan/Article/Detail?id=7103368913.
[29] 刘洁, 李静, 柳钦火, 何彬彬, 于文涛. 全球典型植被叶片光谱特征及其对LAI反演的影响分析. 遥感技术与应用[J]. 2019, 34(1): 155-165, http://lib.cqvip.com/Qikan/Article/Detail?id=7001693717.
[30] Cong Wang, Jing Li. Phenology Dynamics of Savannas and Grassland Along North Australian Tropical Transect (NATT) Revealed by Satellite Solar-Induced Chlorophyll Fluorescence. Geophysical Research Letters[J]. 2019, [31] Gaofei Yin, Aleixandre Verger, Yonghua Qu, Wei Zhao, Baodong Xu, Yelu Zeng, Ke Liu, Jing Li, Qinhuo Liu. Retrieval of High Spatiotemporal Resolution Leaf Area Index with Gaussian Processes, Wireless Sensor Network, and Satellite Data Fusion. REMOTE SENSING[J]. 2019, 11(3): http://ir.imde.ac.cn/handle/131551/25321.
[32] Lin, Shangrong, Jing Li, Qinhuo Liu. 3、 Evaluating effectiveness of the satellite based remote sensing vegetation red-edge reflectance based VI on estimating gross primary productivity. remote sensing[J]. 2019, [33] Ma, Qingmiao, Li, Yingjie, Li, Jing, Liu, Qinhuo. Modeling of Mixed-Pixel Clumping Index From Remote Sensing Data and Its Evaluation. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2019, 12(7): 2320-2331, http://dx.doi.org/10.1109/JSTARS.2019.2897818.
[34] Yelu Zeng, Baodong Xu, Gaofei Yin, Shengbiao Wu, Guoqing Hu, Kai Yan, Bin Yang, Wanjuan Song, Jing Li. Spectral Invariant Provides a Practical Modeling Approach for Future Biophysical Variable Estimations. REMOTE SENSING[J]. 2018, 10(10): http://ir.imde.ac.cn/handle/131551/24234.
[35] Wentao Yu, Jing Li, Qinhuo Liu. Quantitative analysis of Land surface heterogeneity and its influence on LAI retrieval from remote-sensed data. remote sensing[J]. 2018, [36] Xu, Baodong, Li, Jing, Park, Taejin, Liu, Qinhuo, Zeng, Yelu, Yin, Gaofei, Zhao, Jing, Fan, Weiliang, Yang, Le, Knyazikhin, Yuri, Myneni, Ranga B. An integrated method for validating long-term leaf area index products using global networks of site-based measurements. REMOTE SENSING OF ENVIRONMENT[J]. 2018, 209: 134-151, http://dx.doi.org/10.1016/j.rse.2018.02.049.
[37] Jing Zhao, Jing Li, Qinhuo Liu. Comparative analysis of Chinese HJ-1 CCD, GF-1 WFV and ZY-3 MUX sensor data for leaf area index estimation for maize. remote sensing[J]. 2018, [38] Shangrong Lin, Jing Li, Qinhuo Liu, Alfredo Huete, Longhui Li. Effects of Forest Canopy Vertical Stratification on the Estimation of Gross Primary Production by Remote Sensing. REMOTE SENSING[J]. 2018, 10(9): https://doaj.org/article/53bedf977552456fab036265e7f96142.
[39] Zhao, Jing, Li, Jing, Liu, Qinhuo, Yang, Le, Bai, Junhua. A method of analyzing LAI underestimation for dense vegetation based on the vertical distribution of the leaf area density. REMOTE SENSING LETTERS[J]. 2018, 9(2): 121-130, [40] Wang, Cong, Li, Jing, Liu, Qinhuo, Zhong, Bo, Wu, Shanlong, Xia, Chuanfu. Analysis of Differences in Phenology Extracted from the Enhanced Vegetation Index and the Leaf Area Index. SENSORS[J]. 2017, 17(9): https://doaj.org/article/aaef491d36a54b7cae6a1de09980da02.
[41] 于文涛, 李静, 柳钦火, 曾也鲁, 尹高飞, 赵静, 徐保东. 中国地表覆盖异质性参数提取与分析. 地球科学进展[J]. 2016, 31(10): 1067-1077, http://lib.cqvip.com/Qikan/Article/Detail?id=670889490.
[42] Xu, Baodong, Li, Jing, Liu, Qinhuo, Huete, Alfredo R, Yu, Qiang, Zeng, Yelu, Yin, Gaofei, Zhao, Jing, Yang, Le. Evaluating Spatial Representativeness of Station Observations for Remotely Sensed Leaf Area Index Products. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2016, 9(7): 3267-3282, http://ir.imde.ac.cn/handle/131551/18216.
[43] 柳钦火, 曹彪, 曾也鲁, 李静, 杜永明, 闻建光, 范渭亮, 赵静, 杨乐. 植被遥感辐射传输建模中的异质性研究进展. 遥感学报[J]. 2016, 20(5): 933-945, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=5824334&detailType=1.
[44] Zeng, Yelu, Li, Jing, Liu, Qinhuo, Huete, Alfredo R, Xu, Baodong, Yin, Gaofei, Zhao, Jing, Yang, Le, Fan, Weiliang, Wu, Shengbiao, Yan, Kai. An Iterative BRDF/NDVI Inversion Algorithm Based on A Posteriori Variance Estimation of Observation Errors. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2016, 54(11): 6481-6496, http://dx.doi.org/10.1109/TGRS.2016.2585301.
[45] Yin, Gaofei, Li, Jing, Liu, Qinhuo, Zhong, Bo, Li, Ainong. Improving LAI spatio-temporal continuity using a combination of MODIS and MERSI data. REMOTE SENSING LETTERS[J]. 2016, 7(8): 771-780, http://www.irgrid.ac.cn/handle/1471x/1183069.
[46] Zeng, Yelu, Li, Jing, Liu, Qinhuo, Huete, Alfredo R, Yin, Gaofei, Xu, Baodong, Fan, Weiliang, Zhao, Jing, Yan, Kai, Mu, Xihan. A Radiative Transfer Model for Heterogeneous Agro-Forestry Scenarios. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2016, 54(8): 4613-4628, http://ir.imde.ac.cn/handle/131551/17630.
[47] 林岳峰, 柳钦火, 李静, 赵静. 最小二乘法联合光学与雷达遥感数据估算玉米叶面积指数. 遥感技术与应用[J]. 2016, 31(4): 691-701, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=5795680&detailType=1.
[48] Yelu Zeng, Jing Li, Qinhuo Liu, Yonghua Qu, Alfredo R Huete, Baodong Xu, Geofei Yin, Jing Zhao. An Optimal Sampling Design for Observing and Validating Long-Term Leaf Area Index with Temporal Variations in Spatial Heterogeneities. REMOTE SENSING[J]. 2015, 7(2): 1300-1319, https://doaj.org/article/a12ead180ebe42b7981eda086fbceca5.
[49] Yin, Gaofei, Li, Jing, Liu, Qinhuo, Fan, Weiliang, Xu, Baodong, Zeng, Yelu, Zhao, Jing. Regional Leaf Area Index Retrieval Based on Remote Sensing: The Role of Radiative Transfer Model Selection. REMOTE SENSING[J]. 2015, 7(4): 4604-4625, https://doaj.org/article/fe45f707cf774db28ab82e32c90216d9.
[50] Jing Zhao, Jing Li, Qinhuo Liu, Wenjie Fan, Bo Zhong, Shanlong Wu, Le Yang, Yelu Zeng, Baodong Xu, Gaofei Yin. Leaf Area Index Retrieval Combining HJ1/CCD and Landsat8/OLI Data in the Heihe River Basin, China. REMOTE SENSING[J]. 2015, 7(6): 6862-6885, https://doaj.org/article/328ea62871ce43b98200977eb6a909f8.
[51] Zeng, Yelu, Li, Jing, Liu, Qinhuo, Hu, Ronghai, Mu, Xihan, Fan, Weiliang, Xu, Baodong, Yin, Gaofei, Wu, Shengbiao. Extracting Leaf Area Index by Sunlit Foliage Component from Downward-Looking Digital Photography under Clear-Sky Conditions. REMOTE SENSING[J]. 2015, 7(10): 13410-13435, https://doaj.org/article/00d39140f6a441c8a194e33c28bdbdd0.
[52] 徐保东, 李静, 柳钦火, 辛晓洲, 曾也鲁, 尹高飞. 地面站点观测数据代表性评价方法研究进展. 遥感学报[J]. 2015, 19(5): 703-718, [53] 刘茜, 杨乐, 柳钦火, 李静. 森林地上生物量遥感反演方法综述. 遥感学报[J]. 2015, 19(1): 62-74, [54] Yin, Gaofei, Li, Jing, Liu, Qinhuo, Li, Longhui, Zeng, Yelu, Xu, Baodong, Yang, Le, Zhao, Jing. Improving Leaf Area Index Retrieval Over Heterogeneous Surface by Integrating Textural and Contextual Information: A Case Study in the Heihe River Basin. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2015, 12(2): 359-363, http://www.irgrid.ac.cn/handle/1471x/1047410.
[55] Cao, Biao, Du, Yongming, Li, Jing, Li, Hua, Li, Li, Zhang, Yang, Zou, Jie, Liu, Qinhuo. Comparison of Five Slope Correction Methods for Leaf Area Index Estimation From Hemispherical Photography. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2015, 12(9): 1958-1962, http://www.irgrid.ac.cn/handle/1471x/1047245.
[56] 赵静, 李静, 柳钦火. 联合HJ1-1/CCD和Landsat8/OLI数据反演黑河中游叶面积指数. 遥感学报[J]. 2015, [57] 张阳, 柳钦火, 覃文汉, 刘强, 李静, 杜永明, 谢东辉, 黄华国, 杨乐, 倪文俭. 3维场景植被冠层多波段模拟研究进展. 遥感学报[J]. 2015, 19(6): 894-909, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=5570048&detailType=1.
[58] 李静. 叶面积指数产品验证中地面站点观测的尺度代表性评价方法——以CERN站网观测为例. 遥感学报. 2015, [59] Fan, Weiliang, Li, Jing, Liu, Qinhuo. GOST2: The Improvement of the Canopy Reflectance Model GOST in Separating the Sunlit and Shaded Leaves. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2015, 8(4): 1423-1431, http://www.irgrid.ac.cn/handle/1471x/1047347.
[60] 高应波, 柳钦火, 李静, 杨乐. 基于时序植被指数特征时相识别的多熟制耕地提取新方法. 遥感技术与应用[J]. 2015, 30(3): 431-438, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=5473378&detailType=1.
[61] 尹高飞, 柳钦火, 李静, 曾也鲁, 徐保东. 树冠形状对孔隙率及叶面积指数估算的影响分析. 遥感学报[J]. 2014, 18(4): 752-759, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=5196087&detailType=1.
[62] Li Jing. A sampling strategy for remotely sensed lai product validation over heterogeneous land surface. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. 2014, [63] 李静. 典型农作物热红外和微波辐射方向性联合模拟研究. 遥感学报. 2014, [64] 赵静, 李静, 柳钦火. 森林垂直结构参数遥感反演综述. 遥感学报[J]. 2013, 17(4): 697-716, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=4889805&detailType=1.
[65] 李静. 基于NDVI先验知识的LAI地面采样方法研究. 遥感学报. 2013, [66] 龙鑫, 李静, 柳钦火. 植被指数合成算法综述. 遥感技术与应用[J]. 2013, 28(6): 969-977, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=5012397&detailType=1.
[67] 杜鹤娟, 柳钦火, 李静, 杨乐. 光学与微波植被指数协同反演农作物叶面积指数的可行性分析. 遥感学报[J]. 2013, 17(6): 1587-1611, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=4993142&detailType=1.
[68] 李静. 植被物候遥感监测的研究进展. 遥感学报. 2013, [69] 夏传福, 李静, 柳钦火. 基于MODIS叶面积指数的遥感物候产品反演方法. 农业工程学报[J]. 2012, 28(19): 103-109, http://lib.cqvip.com/Qikan/Article/Detail?id=43535714.
[70] 李静. 全球LAI地面验证方法及验证数据综述. 地球科学进展. 2012, [71] Bai, Junhua, Li, Jing, Liu, Qinhuo, Wang, Xu, Li, Shaokun. Diagnosing Cotton Farmland Quality Using Multi-Temporal Remotely Sensed Data. SENSOR LETTERS[J]. 2012, 10(1-2): 475-483, http://ir.ceode.ac.cn/handle/183411/30069.
[72] 麻庆苗, 李静, 刘强, 柳钦火. 混合像元聚集指数研究及尺度分析. 遥感学报[J]. 2012, 16(5): 895-908, http://lib.cqvip.com/Qikan/Article/Detail?id=43166270.
[73] 李静. 遥感辐射传输建模与反演研究进展. 遥感学报. 2009, [74] 柳钦火. A Patch Spectral Purification Method to Extract Field Patch Average Parameter from Moderate Resolution Data. International Journal of Remote Sensing. 2008, [75] 李静, 刘强, 柳钦火, 肖青. 基于多项式表达模型的多角度覆盖率反演研究. 遥感学报[J]. 2006, 10(5): 812-819, http://ir.ceode.ac.cn/handle/183411/36298.
[76] 闫岩, 柳钦火, 刘强, 李静, 陈良富. 基于遥感数据与作物生长模型同化的冬小麦长势监测与估产方法研究. 遥感学报[J]. 2006, 10(5): 804-811, http://ir.ceode.ac.cn/handle/183411/33763.
[77] 仲波, 柳钦火, 李静, 符锴华, 陈良富, 刘强. 新疆伽师地震热红外异常分析. 遥感技术与应用[J]. 2005, 20(5): 489-495, http://lib.cqvip.com/Qikan/Article/Detail?id=20554755.
[78] Li J, Liu QH, Liu Q, Chen LF, Bo JH, Li SK. Cotton pixel identification with CBERS-02 CCD data based on spectral knowledge. SCIENCE IN CHINA SERIES E-ENGINEERING & MATERIALS SCIENCE[J]. 2005, 48: 129-144, http://www.corc.org.cn/handle/1471x/2377820.
[79] 李静. 典型农作物波谱库及其应用示范初探. 遥感学报. 2004, 

科研活动

   
科研项目
( 1 ) 米级分辨率下的植被遥感反射波谱模型构建及叶面积指数反演方法研究, 主持, 国家级, 2017-01--2020-12
( 2 ) 叶面积指数、植被覆盖度、植被指数及植被物候连续观测网, 主持, 国家级, 2017-01--2019-12
( 3 ) 地表可见光/近红外非均质混合像元模型, 主持, 国家级, 2013-01--2017-12
( 4 ) 非均质混合像元遥感反射波谱模型构建及叶面积指数反演方法研究, 主持, 国家级, 2013-01--2016-12
( 5 ) 全球叶面积指数产品的遥感提取方法研究, 主持, 国家级, 2009-07--2012-06
( 6 ) GF6卫星宽幅相机影像植被反演, 主持, 国家级, 2018-01--2019-12
( 7 ) 植被覆盖度、叶面积指数、聚集指数立体观测与反演研究, 主持, 国家级, 2017-07--2021-12

指导学生

现指导学生

袁雪琪  硕士研究生  085208-电子与通信工程  

李松泽  硕士研究生  085208-电子与通信工程