李俊生，中国科学院空天信息创新研究院，研究员，博士生导师，《遥感学报》编委。长期从事水环境遥感方面的研究工作，主持了国家自然科学基金、中科院先导专项等国家和部委科研项目10余项，在水环境遥感机理、方法和应用等方面取得一系列创新性研究成果，发表论文100余篇，授权国家发明专利20余项；获得国家技术发明二等奖、中科院杰出科技成就奖等科技奖励；相关成果在生态环境部、自然资源部、水利部等行业部门得到业务化应用，并得到国际水色协调组织、中央电视台、人民日报等国内外学术组织和新闻媒体报道。

工作经历:

2020.03-至今        中国科学院空天信息创新研究院          研究员

2018.08-2020.02     中国科学院遥感与数字地球研究所        研究员

2015.09-2016.09     美国南佛罗里达大学                    访问学者

2012.09-2018.07     中国科学院遥感与数字地球研究所        副研究员

2010.01-2012.08     中国科学院对地观测与数字地球科学中心  副研究员

2008.01-2009.12     中国科学院对地观测与数字地球科学中心  助理研究员

2007.07-2007.12     中国科学院遥感应用研究所              助理研究员

（1）基于软分类的太湖水体叶绿素a浓度遥感反演与时空变化分析, 负责人, 国家任务, 2015-01--2018-12

（2）水质多尺度时空变化遥感监测技术研究, 负责人, 国家任务, 2017-07--2020-12

（3）地理图景综合集成与国土空间优化决策系统, 负责人, 中国科学院计划, 2019-01--2023-12

（4）地表水分布与水质要素信息反演软件模块开发, 负责人, 地方任务, 2019-06--2020-12

（5）基于Landsat系列卫星的中国 湖库水体颜色时空变化研究, 负责人, 国家任务, 2020-01--2023-12

（6）清洁用水空间观测科学卫星概念预先研究, 负责人, 中国科学院计划, 2022-03--2022-12

（7）长江水生态监测指标的算法研发及实现, 负责人, 地方任务, 2022-05--2022-11

（8）城市人居环境卫星监测及提取关键技术, 负责人, 国家任务, 2022-11--2025-10

（9）顾及非线性响应的智能手机照片离水反射率校正与水质监测研究, 负责人, 国家任务, 2023-01--2026-12

（10）地球大数据支撑水安全可持续发展目标研究, 共同负责人, SDG中心任务, 2023-01--2023-12

（1）学术论文

[1]Ziyao Yin, Junsheng Li*, et al. Increase in chlorophyll-a concentration in Lake Taihu from 1984 to 2021 based on Landsat observations. Science of the Total Environment, 2023, 873: 162168.

[2]Yao Liu, Junsheng Li*, et al. A Classification-based, Semi-analytical Approach for Estimating Water Clarity from a Hyperspectral Sensor Onboard the ZY1-02D Satellite. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 4206714. [10.1109/TGRS.2022.3161651]

[3]刘瑶，李俊生*，等. 资源一号02D高光谱影像内陆水体叶绿素a浓度反演.遥感学报，2022, 26（1）：168-178[DOI：10.11834/jrs.20221244]

[4]Min Gao, Junsheng Li, et al. Smartphone–camera–based water reflectance measurement and typical water quality parameter inversion. Remote Sensing, 2022, 14, 1371.

[5]:李俊生,高敏,等．智能手机影像支持的水质监测算法与应用．测绘学报, 2022, 51(4): 568-576. [DOI:10.11947/j.AGCS.2022.20220049.]

[6]Ziyao Yin, Junsheng Li*, et al. Decline of suspended particulate matter concentrations in Lake Taihu from 1984 to 2020: observations from Landsat TM and OLI. Optics Express, 2022, 30(13): 22572.

[7]Kai Yan, Junsheng Li*, et al. Deep Learning-Based Automatic Extraction of Cyanobacterial Blooms from Sentinel-2 MSI Satellite Data. Remote Sensing, 2022, 14, 4763. https://doi.org/10.3390/rs14194763

[8]Ya Xie, Hongli Zhao, Junsheng Li*, et al. Phytoplankton biomass variation after cage aquaculture removal from the Daheiting Reservoir, China: observations from satellite data. Hydrobiologia, 2022, 849: 4759–4775. https://doi.org/10.1007/s10750-022-05014-4

[9]张兵，李俊生，等. 长时序大范围内陆水体光学遥感研究进展.遥感学报，2021, 25(1): 37-52.

[10]Shenglei Wang, Junsheng Li, et al. A dataset of remote-sensed Forel-Ule Index for global inland waters during 2000–2018. Scientific Data, 2021, 8, 26. https://doi.org/10.1038/s41597-021-00807-z

[11]曹畅,王胜蕾,李俊生*,等. 基于MODIS数据的全国144个重点湖库营养状态监测：以2018年夏季为例, 湖泊科学, 2021, 33(2): 405-413.

[12]Ziyao YIN, Junsheng LI*, et al. Steady increase in water clarity in Jiaozhou Bay in the Yellow Sea from 2000 to 2018: Observations from MODIS. Journal of Oceanology and Limnology, 2021, 39(3): 800-813. https://doi.org/10.1007/s00343-020-0124-4

[13]殷子瑶,李俊生*,等.珠海一号高光谱卫星的于桥水库水质参数反演初步研究.光谱学与光谱分析, 2021, 41(2): 494-498.

[14]Fangfang Zhang, Junsheng Li, et al. Tracking historical chlorophyll-a change in the Guanting Reservoir, Northern China, based on Landsat series inter-sensor normalization. International Journal of Remote Sensing, 2021, 42(10): 3918–3937.

[15]Ziyao Yin, Junsheng Li*, et al. Water clarity changes in Lake Taihu over 36 years based on Landsat TM and OLI observations. International Journal of Applied Earth Observation and Geoinformation, 2021, 102: 102457.

[16]Huan Zhao, Junsheng Li, et al. Monitoring Cyanobacteria Bloom in Dianchi Lake Based on Ground-Based Multispectral Remote-Sensing Imaging: Preliminary Results. Remote Sensing, 2021, 13, 3970. https://doi.org/10.3390/rs13193970

[17]Min Gao, Junsheng Li*, et al. Measurement of Water Leaving Reflectance Using a Digital Camera Based on Multiple Reflectance Reference Cards. Sensors, 2020, 20(6580).

[18]Yao Liu, Chenchao Xiao, Junsheng Li*, et al. Secchi Disk Depth Estimation from China’s New Generation of GF-5 Hyperspectral Observations Using a Semi-Analytical Scheme. Remote Sensing. 2020, 12(11), 1849; https://doi.org/10.3390/rs12111849

[19]Shenglei Wang, Junsheng Li, et al. Changes of water clarity in large lakes and reservoirs across China observed from long-term MODIS. Remote Sensing of Environment, 2020, 247, 111949: 1-17.

[20]Junsheng Li, Min Gao, et al. Estimation of Chlorophyll-a Concentrations in a Highly Turbid Eutrophic Lake Using a Classification-Based MODIS Land-Band Algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(10): 3769-3783. DOI: 10.1109/JSTARS.2019.2936403.

[21]Junsheng Li, Ziyao Yin, et al. Regional Vicarious Calibration of the SWIR-Based Atmospheric Correction Approach for MODIS-Aqua Measurements of Highly Turbid Inland Water. Remote Sensing. 2019, 11, 1670. doi:10.3390/rs11141670

[22]谢娅，李俊生*，等. 湖库水生植被光学遥感监测研究进展和展望. 环境监控与预警. 2019, 11(5): 52-58.

[23]张兵，李俊生，等. 地表水环境遥感监测关键技术与系统. 中国环境监测, 2019, 35(4): 1-9. 

[24]Fangfang Zhang, Junsheng Li*, et al. A soft-classification-based chlorophyll-a estimation method using MERIS data in the highly turbid and eutrophic Taihu Lake. International Journal of Applied Earth Observation and Geoinformation, 2019, 74: 138–149.

[25]Qing Zhu, Junsheng Li*, et al. Distinguishing Cyanobacterial Bloom From Floating Leaf Vegetation in Lake Taihu Based on Medium-Resolution Imaging Spectrometer (MERIS) Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(1): 34 – 44.

[26]Shenglei Wang, Junsheng Li, et al. Trophic state assessment of global inland waters using a MODIS-derived Forel-Ule index. Remote Sensing of Environment, 2018, 217: 444-460.

[27]Ye Huping, Li Junsheng, et al. Improvement of scattering correction for in situ coastal and inland water absorption measurement using exponential fitting approach. Chinese Journal of Oceanology and Limnology, 2018, 36(4): 1198-1215. https://doi.org/10.1007/s00343-018-7037-5 

[28]Fangfang Zhang, Junsheng Li*, et al. A simple automated dynamic threshold extraction method for the classification of large water bodies from landsat-8 OLI water index images，International Journal of Remote Sensing, 2018, 39(11): 3429-3451. DOI: https://doi.org/10.1080/01431161.2018.1444292 

[29]Dan Zhao, Junsheng Li*, et al. Landsat-satellite-based analysis of spatial-temporal dynamics and drivers of CyanoHABs in the plateau Lake Dianchi. International Journal of Remote Sensing, 2018， 39 (23): 8552-8571. https://doi.org/10.1080/01431161.2018.1488289 

[30]Lian Feng, Xuejiao Hou, Junsheng Li*, et al. Exploring the potential of Rayleigh-corrected reflectance in coastal and inland water applications: A simple aerosol correction method and its merits. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 146: 52-64.

[31]Junsheng Li, Chuanmin Hu, et al. Recovering low quality MODIS-Terra data over highly turbid waters through noise reduction and regional vicarious calibration adjustment: A case study in Taihu Lake. Remote Sensing of Environment, 2017, 197, 72–84. 

[32]Ganlin Wang, Junsheng Li*, et al. Synthetic aperture radar detection and characteristic analysis of cyanobacterial scum in Lake Taihu. Journal of Applied Remote Sensing, 2017, 11(1), 012006. doi: 10.1117/1.JRS.11.012006.

[33]Junsheng Li, Shenglei Wang, et al. MODIS observations of water color of the largest 10 lakes in China between 2000 and 2012. International Journal of Digital Earth, 2016, 9(8): 788-805. 

[34]申茜，李俊生*，等. 水面原位多角度偏振反射率光谱特性分析与离水辐射提取. 光谱学与光谱分析, 2016, 36(10): 3269-3273.

[35]Shenglei Wang, Junsheng Li*, et al. A simple correction method for the MODIS surface reflectance product over typical inland waters in China. International Journal of Remote Sensing, 2016, 37(24): 6076-6096.

[36]朱庆, 李俊生*, 等. 基于海岸带高光谱成像仪影像的太湖蓝藻水华和水草识别. 遥感技术与应用, 2016, 31(5): 879-885.

（2）专著

[1]内陆水体高光谱遥感，科学出版社. 2012

（1）2013年，北京市科学技术二等奖，内陆水体富营养化高光谱遥感监测技术与应用

（2）2014年，中国地理信息科技进步一等奖，水环境遥感应用工程化处理技术研究与系统实现

（3）2015年，国家技术发明奖二等奖，偏振遥感物理机理、关键方法与技术应用

（4）2016年，中国科学院杰出科技成就奖，高光谱遥感研究集体

（5）2021年，北京测绘科技进步一等奖，中国大运河（北京段）星-空-地协同遥感动态监测与数字化保护

（6）2021年，北京市科学技术二等奖，城市黑臭水体大范围遥感监测关键技术及应用

（7）2022年，测绘科学技术一等奖，高分辨率环境遥感监测关键技术研发与业务应用

（8）2022年，环境保护科学技术二等奖，流域水生态星地协同监测关键技术研究与业务化应用