（1）學(xué)術(shù)論文
[1].Chang Liu, Jing Li*, Qinhuo Liu, Jixi Gao, Faisal Mumtaz, Yadong Dong, Cong Wang, Chenpeng Gu, Jing Zhao, Combined influence of ENSO and North Atlantic Oscillation (NAO) on Eurasian Steppe during 1982–2018, Science of The Total Environment, Volume 892, 2023, 164735, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2023.164735.
[2].Liu, C.; Li, J.*; Liu, Q.; Xu, B.; Dong, Y.; Zhao, J.; Mumtaz, F.; Gu, C.; Zhang, H. Global Comparison of Leaf Area Index Products over Water-Vegetation Mixed Heterogeneous Surface Network (HESNet-WV). Remote Sens. 2023, 15, 1337. https://doi.org/10.3390/ rs15051337
[3].Y. Dong, J. Li* et al., "A Method for Retrieving Coarse-Resolution Leaf Area Index for Mixed Biomes Using a Mixed-Pixel Correction Factor," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-17, 2023, Art no. 4400317, doi: 10.1109/TGRS.2023.3235949.
[4].Faisal Mumtaz, Jing Li*, Qinhuo Liu, Aqil Tariq, Arfan Arshad, Yadong Dong, et al. Impacts of Green Fraction Changes on Surface Temperature and Carbon Emissions: Comparison under Forestation and Urbanization Reshaping Scenarios，Remote Sens. 2023, 15(3), 859; https://doi.org/10.3390/rs15030859. Published: 3 February 2023
[5].J. Zhao, J. Li*, Q. Liu, Z. Zhang and Y. Dong, "Comparative Study of Fractional Vegetation Cover Estimation Methods Based on Fine Spatial Resolution Images for Three Vegetation Types," in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 2508005, doi: 10.1109/LGRS.2022.3222018.
[6].Zhang, H., Li, J.*, Liu, Q., Lin, S., Huete, A., Liu, L., Croft, H., Clevers, J. G. P., Zeng, Y., Wang, X., Gu, C., Zhang, Z., Zhao, J., Dong, Y., Mumtaz, F., & Yu, W. (2022). A novel red-edge spectral index for retrieving the leaf chlorophyll content. Methods in Ecology and Evolution, 00, 1– 17. https://doi.org/10.1111/2041-210X.13994
[7].Cong Wang, Jing Li*, Qinhuo Liu, et, al. Eastern-Pacific and Central-Pacific Types of ENSO Elicit Diverse Responses of Vegetation in China and Australia，F(xiàn)ebruary 2022, Geophysical Research Letters 49(3). DOI: 10.1029/2021GL096666
[8].Yu, W.; Li, J.*; Liu, Q.; Zhao, J.; Dong, Y.; Zhu, X.; Lin, S.; Zhang, H.; Zhang, Z. Gap Filling for Historical Landsat NDVI Time Series by Integrating Climate Data. Remote Sens. 2021, 13, 484. https://doi.org/ 10.3390/rs13030484.
[9].Yu, W. , Li J* , Liu Q , et al. "Spatial-Temporal Prediction of Vegetation Index With Deep Recurrent Neural Networks." IEEE Geoscience and Remote Sensing Letters ,2021, PP.99:1-5. DOI: 10.1109/LGRS.2021.3064814
[10].X.Zhu, J. Li*, Q.Liu et al. "Use of a BP Neural Network and Meteorological Data for Generating Spatiotemporally Continuous LAI Time Series," IEEE Transactions on Geoscience and Remote Sensing,August, 2021, 60, 4405114, DOI:10.1109/TGRS.2021.3095535
[11].Shangrong Lin, Jing Li*, Qinhuo Liu, et.al. Improved global estimations of gross primary productivity of natural vegetation types by incorporating plant functional type. JAG. 100 (2021) 102328. https://doi.org/10.1016/j.jag.2021.102328
[12].Hu Zhang, Jing Li*, Qinhuo Liu, et.al. Estimating Leaf Area Index with Dynamic Leaf Optical Properties. Remote Sensing 13(23):4898. December 2021. DOI: 10.3390/rs13234898
[13].Zeng, Y.; Badgley, G.; Chen, M.; Li, J.*; Anderegg, L.D.L.; Kornfeld, A.; Liu, Q.; Xu, B.; Yang, B.; Yan, K.; Berry, J.A. A radiative transfer model for solar induced fluorescence using spectral invariants theory. Remote Sens. Environ. 2020, 240, 111678.
[14].Zhao Jing, Li Jing*, Liu Qinhuo, et.al. 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. 2020. Volume 90, 102112. https://doi.org/10.1016/j.jag.2020.102112
[15].Xu Baodong, Li Jing*, Liu Qinhuo, et.al. Improving Leaf Area Index retrieval over heterogeneous surface mixed with water. Remote Sensing of Environment. 2020. 240, 111700. DOI：https://doi.org/10.1016/j.rse.2020.111700
[16].Wentao Yu, Jing Li*, et.al. 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. 2020, 13,794-806. DOI: 10.1109/JSTARS.2020.2970999
[17].Yelu Zeng, Jing Li*, Qinhuo Liu, et al., A radiative transfer model for patchy landscapes based on stochastic radiative transfer theory. IEEE TGRS. 2020, 58(4), 2571-2589; DOI:10.1109/TGRS.2019.2952377
[18].Lin Shangrong, Li Jing*, et.al. Evaluating the Effectiveness of Using Vegetation Indices Based on Red-Edge Reflectance from Sentinel-2 to Estimate Gross Primary Productivity. Remote Sens. 2019, 11, 1303; doi:10.3390/rs11111303
[19].Ma Qingmiao, Li Yingjie*, Li Jing*, et.al. Modeling of Mixed-Pixel Clumping Index from Remote Sensing Data and Its Evaluation, IEEE JSTARS. 2019, 12(7): 2320-2331. DOI: 10.1109/JSTARS.2019.2897818
[20].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 11(3):244 · January 2019
[21].Zeng, Y.; Xu, B.; Yin, G.; Wu, S.; Hu, G.; Yan, K.; Yang, B.; Song, W.; Li, J*. Spectral Invariant Provides a Practical Modeling Approach for Future Biophysical Variable Estimations. Remote Sensing. 2018, 10(10), 1508. https://doi.org/10.3390/rs10101508.
[22].Lin, S.; Li, J.*; Liu, Q.; Huete, A.; Li, L. Effects of Forest Canopy Vertical Stratification on the Estimation of Gross Primary Production by Remote Sensing. Remote Sensing. 2018, 10(9), 1329. https://doi.org/10.3390/rs10091329.
[23].Yu Wentao, Li Jing*, Liu Qinhuo, et.al. Quantitative analysis of Land surface heterogeneity and its influence on LAI retrieval from remote-sensed data. Remote Sens. 2018, 10, 856; doi:10.3390/rs10060856
[24].Baodong Xu, Jing Li*, et.al. An integrated method for validating long-term leaf area index products using global networks of site-based measurements. Remote Sensing of Environment. 209 (2018) 134–151.
[25].Jing Zhao, Jing Li*, Qinhuo Liu*, Le Yang & Junhua Bai. A method of analyzing LAI underestimation for dense vegetation based on the vertical distribution of the leaf area density. Remote Sensing Letters. Vol. 9(2),2018 DOI:10.1080/2150704X.2017.1399471.
[26].Zhao Jing, Li Jing*, Liu Qinhuo*, et.al. Comparative analysis of Chinese HJ-1 CCD, GF-1 WFV and ZY-3 MUX sensor data for leaf area index estimation for maize. Remote Sens. 2018, 10, 68; doi:10.3390/rs10010068
[27].Cong Wang, Jing Li*, Qinhuo Liu*, et.al. Analysis of Differences in Phenology Extracted from the Enhanced Vegetation Index and the Leaf Area Index. Sensors. 2017, 17(9), 1982; doi:10.3390/s17091982
[28].Yelu Zeng, Jing Li*, Qinhuo Liu*, et.al. An iterative BRDF/NDVI inversion algorithm based on a posteriori variance estimation of observation errors. IEEE Transactions on Geoscience and Remote sensing. November 2016, 54(11):6481-6496.
[29].Zeng Y L, Li J*, Liu Q H, Huete A R, Yin G F, Xu B D, Fan W L, Zhao J, Yan K, and Mu X H. A radiative transfer model for heterogeneous agro-forestry scenarios. IEEE Transactions on Geoscience and Remote sensing. August 2016, 54(8):4613-4628. .
[30].Baodong Xu, Jing Li*, Qinhuo Liu*, et.al. 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. July 2016, 9(7): 3267-3282.
[31].Gaofei Yin, Jing Li*, Qinhuo Liu*, et.al. Improving LAI spatio-temporal continuity using a combination of MODIS and MERSI data. Remote sensing letters. 2016, 7(8):771-780.
[32].Zeng, Y.; Li, J*.; Liu, Q.; Hu, R.; Mu, X.; Fan, W.; Xu, B.; Yin, G.; Wu, S. Extracting Leaf Area Index by Sunlit Foliage Component from Downward-Looking Digital Photography under Clear-Sky Conditions. Remote Sens. 2015, 7, 13410-13435. (2)
[33].Zhao, J.; Li, J.*; Liu, Q.; Fan, W.; Zhong, B.; Wu, S.; Yang, L.; Zeng, Y.; Xu, B.; Yin, G. Leaf Area Index Retrieval Combining HJ1/CCD and Landsat8/OLI Data in the Heihe River Basin, China. Remote Sens. 2015, 7, 6862-6885.
[34].Yin, G.; Li, J.*; Liu, Q.; Fan, W.; Xu, B.; Zeng, Y.; Zhao, J. Regional Leaf Area Index Retrieval Based on Remote Sensing: The Role of Radiative Transfer Model Selection. Remote Sens. 2015, 7, 4604-4625.
[35].Zeng, Y.; Li, J.*; Liu, Q.; Qu, Y.; Huete, A.R.; Xu, B.; Yin, G.; Zhao, J. An Optimal Sampling Design for Observing and Validating Long-Term Leaf Area Index with Temporal Variations in Spatial Heterogeneities. Remote Sens. 2015, 7, 1300-1319.
[36].Zeng, Y.L.; Li, J. *; Liu, Q.H.; Li, L.H.; Xu, B.D.; Yin, G.F.; Peng, J.J. A sampling strategy for remotely sensed lai product validation over heterogeneous land surface. IEEE JSTARS. 2014, 7, 3128-3142.
[37].Jing Li, Qiang Liu, Qinhuo Liu, Yong Tang, Qing Xiao. A Patch Spectral Purification Method to Extract Field Patch Average Parameter from Moderate Resolution Data. International Journal of Remote Sensing. 2008,29:4993-5011.
[38].LI Jing, LIU Qinhuo, LIU Qiang, CHEN Liangfu, BO Junhua & LI Shaokun, Cotton pixel identification with CBERS-02 CCD data based on spectral knowledge, Science in China Ser. E 2005，Vol.48 Suppl.129-144.
[39].張召星，李靜*，柳欽火，趙靜，董亞冬，李松澤，文遠(yuǎn)，于文濤.2023.高分一號(hào)衛(wèi)星高時(shí)空分辨率植被指數(shù)產(chǎn)品驗(yàn)證與分析.遙感學(xué)報(bào)，27（3）：665-676 DOI：10.11834/jrs.20231710.
[40].趙靜，李靜*，穆西晗，張召星，董亞冬，吳善龍，仲波，柳欽火.2023.高分一號(hào)衛(wèi)星中國(guó)植被覆蓋度高時(shí)空分辨率產(chǎn)品驗(yàn)證與分析.遙感學(xué)報(bào)，27（3）：689-699 DOI：10.11834/jrs.20231703
[41].張虎，李靜*，柳欽火，張召星，朱欣然，劉暢，趙靜，董亞冬，徐保東，蒙繼華.2023.基于三維隨機(jī)輻射傳輸模型的高分一號(hào)中國(guó)葉面積指數(shù)產(chǎn)品算法.遙感學(xué)報(bào)，27（3）：677-688 DOI：10.11834/jrs.20231708.
[42].馬培培，李靜*，柳欽火，何彬彬，趙靜. 中國(guó)區(qū)域MuSyQ葉面積指數(shù)產(chǎn)品驗(yàn)證與分析. 遙感學(xué)報(bào), 2019, 23(6): 1232-1252.
[43].林尚榮, 李靜*, 柳欽火. 2018. 陸地總初級(jí)生產(chǎn)力遙感估算精度分析. 遙感學(xué)報(bào), 22(2): 234–254
[44].王聰,李靜*,柳欽火,柏軍華,徐保東,趙靜,曾也魯. 黑河流域遙感物候產(chǎn)品驗(yàn)證與分析. 遙感學(xué)報(bào),2017,03:442-457.
[45].夏傳福，李靜*，柳欽火. 基于MODIS 葉面積指數(shù)的遙感物候產(chǎn)品反演方法[J]. 農(nóng)業(yè)工程學(xué)報(bào)，2012，28(19)：103－109. (11)
[46].李松澤, 李靜*, 于文濤, 張召星, 吳善龍, 仲波, 柳欽火. MuSyQ高分16米/10天NDVI植被指數(shù)產(chǎn)品（2018-2020年中國(guó)01版）[J/OL]. 中國(guó)科學(xué)數(shù)據(jù). 2021, Vol.7 (1). DOI: 10.11922/ csdata.2021.0030.zh.
[47].張虎, 李靜*, 張召星, 吳善龍, 仲波, 柳欽火. 2021. MuSyQ高分16米/10天葉面積指數(shù)產(chǎn)品（2018–2020年中國(guó)01版）[J/OL]. 中國(guó)科學(xué)數(shù)據(jù) 2021, Vol.7 (1). DOI: 10.11922/ csdata.2021. 0029.zh.
[48].趙靜, 李靜*, 張召星, 吳善龍, 仲波, 柳欽火. 2021. MuSyQ高分16米/10天植被覆蓋度產(chǎn)品（2018-2020年中國(guó)01版）[J/OL]. 中國(guó)科學(xué)數(shù)據(jù). 2021, Vol.7 (1). DOI: 10.11922/11-6035.csd.2021. 0037.zh.
[49].李靜, 張虎, 王曉函, 張召星, 谷晨鵬, 文遠(yuǎn), 褚天嘉, 柳欽火. MuSyQ 30米/10天葉片葉綠素含量產(chǎn)品（2019-2020年中國(guó)01版），中國(guó)科學(xué)數(shù)據(jù). 2021, Vol.7 (1). Doi: 10.11922/sciencedb. j00001.00265
[50].陳勇，李靜*，孫林等. 葉面積指數(shù)產(chǎn)品真實(shí)性檢驗(yàn)系統(tǒng)設(shè)計(jì)與實(shí)現(xiàn). 遙感信息，2020，35（5）：57-65
[51].劉潔，李靜*，柳欽火等. 全球典型植被葉片光譜特征及其對(duì)LAI反演的影響分析. 遙感技術(shù)與應(yīng)用. 2019, 34(1): 154-165.
[52].于文濤，李靜*，柳欽火等. 中國(guó)地表覆蓋異質(zhì)性參數(shù)提取與分析. 地球科學(xué)進(jìn)展，2016，31（10）：1067-1077
[53].徐保東、李靜*、柳欽火等，葉面積指數(shù)產(chǎn)品驗(yàn)證中地面站點(diǎn)觀測(cè)的尺度代表性評(píng)價(jià)方法——以CERN站網(wǎng)觀測(cè)為例. 遙感學(xué)報(bào). 2015,19(6):pp910-927.
[54].徐保東，李靜*，柳欽火等. 地面站點(diǎn)觀測(cè)數(shù)據(jù)代表性評(píng)價(jià)方法研究進(jìn)展. 遙感學(xué)報(bào). 2015 ,19(5):pp703-718. (3)
[55].龍?chǎng)?，李靜*，柳欽火．植被指數(shù)合成算法綜述［Ｊ］．遙感技術(shù)與應(yīng)用，2013,28(6):969-977. (5)
[56].曾也魯，李靜*，柳欽火，柏軍華. 2013. 基于NDVI先驗(yàn)知識(shí)的LAI地面采樣方法研究. 遙感學(xué)報(bào). 17(1):107-121.(5)
[57].夏傳福, 李靜*, 柳欽火. 2013. 植被物候遙感監(jiān)測(cè)的研究進(jìn)展. 遙感學(xué)報(bào). 17(1):1-16. (28)
[58].麻慶苗，李靜*，劉強(qiáng)，柳欽火. 混合像元聚集指數(shù)研究及尺度分析. 遙感學(xué)報(bào). 2012,16(5):895-908. (3)
[59].曾也魯，李靜*，柳欽火．全球ＬＡＩ地面驗(yàn)證方法及驗(yàn)證數(shù)據(jù)綜述［Ｊ］．地球科學(xué)進(jìn)展，２０１２，２７（２）：１６５１７４． (30)
（2）標(biāo)準(zhǔn)規(guī)范
[1].李靜 、趙靜 、鄒杰 、曾也魯 、柳欽火 、李新 、方紅亮 、唐伯惠 、范聞捷 、屈永華 、穆西晗 、姜小光 、陳爾學(xué) 、吳文斌 、董亞冬 、王新鴻 、劉照言 、尹高飛 、徐保東，國(guó)家標(biāo)準(zhǔn)《葉面積指數(shù)遙感產(chǎn)品真實(shí)性檢驗(yàn)》（GB/T 40034-2021），國(guó)家市場(chǎng)監(jiān)督管理總局 國(guó)家標(biāo)準(zhǔn)化管理委員會(huì)，2021/4/30。
（3）專著（參與編寫）
[1].柳欽火，吳俊均，李靜等，全球陸域生態(tài)系統(tǒng)可持續(xù)發(fā)展態(tài)勢(shì)，中華人民共和國(guó)科學(xué)技術(shù)部國(guó)家遙感中心，2021
[2].柳欽火，牛錚，李麗，俞樂，李靜等，“一帶一路”生態(tài)環(huán)境狀況，中華人民共和國(guó)科學(xué)技術(shù)部國(guó)家遙感中心，2017
[3]. “一帶一路”生態(tài)環(huán)境狀況，中華人民共和國(guó)科學(xué)技術(shù)部國(guó)家遙感中心，2015
[4].中國(guó)-東盟區(qū)域生態(tài)環(huán)境狀況，中華人民共和國(guó)科學(xué)技術(shù)部國(guó)家遙感中心，2014
[5].中國(guó)可持續(xù)發(fā)展遙感監(jiān)測(cè)報(bào)告，社會(huì)科學(xué)文獻(xiàn)出版社，2022年，參與中國(guó)植被遙感監(jiān)測(cè)章
[6].中國(guó)可持續(xù)發(fā)展遙感監(jiān)測(cè)報(bào)告，社會(huì)科學(xué)文獻(xiàn)出版社，2021年，參與中國(guó)植被遙感監(jiān)測(cè)章
[7].中國(guó)可持續(xù)發(fā)展遙感監(jiān)測(cè)報(bào)告，社會(huì)科學(xué)文獻(xiàn)出版社，2019年，參與中國(guó)植被遙感監(jiān)測(cè)章
[8].中國(guó)可持續(xù)發(fā)展遙感監(jiān)測(cè)報(bào)告，社會(huì)科學(xué)文獻(xiàn)出版社，2017年，參與中國(guó)植被遙感監(jiān)測(cè)章
[9].中國(guó)可持續(xù)發(fā)展遙感監(jiān)測(cè)報(bào)告，社會(huì)科學(xué)文獻(xiàn)出版社，2016年，參與中國(guó)植被遙感監(jiān)測(cè)章
[10].定量遙感模型、應(yīng)用與不確定性分析，科學(xué)出版社，2009，參與第二章、第六章編寫
[11].全國(guó)典型地物標(biāo)準(zhǔn)波譜數(shù)據(jù)庫(kù)，科學(xué)出版社，2008，參與第四章、第七章編寫
