研究员
卢善龙
职  称:
职  务:
学  历:
电  话: 010-64847601
传  真:
电子邮件: lusl@aircas.ac.cn
通讯地址:

 

研究领域/方向

地表水资源遥感。重点开展基于卫星遥感的时空连续地表水动态变化监测、地表水动态变化与区域气候相互作用、湖库水储量和河川径流量估算、河流湖泊地貌变迁、以及联合国可持续发展目标6(清洁饮水与卫生设施)等方面研究。

 

 

教育背景

2003.09–2008.06 浙江大学 遥感地质 博士

1999-09–2003-07 湖南科技大学 资源勘察与工程 本科

 

 

工作经历

2023-03~现在中国科学院空天信息创新研究院研究员
2020-03~2023-03,
中国科学院空天信息创新研究院副研究员
2019-08~2020-06,
美国波士顿大学访问学者
2012-03~2019-08,
中国科学院遥感与数字地球研究所副研究员
2012-02~2012-07,
澳大利亚墨尔本大学访问学者
2011-05~2012-01,
中国科学院遥感应用研究所助理研究员
2008-07~2010-04,
中国科学院遥感应用研究所博士后、助理研究员

社会兼职

 

2020-01-01-2022-12-31,北京信息科技大学智能控制研究所兼职教授,
2018-06-01-2020-06-30,
成都理工大学校外合作导师,
2014-12-31-2021-12-31,
中国生物多样性保护与绿色发展基金会北京研究院, 副院长

 

 

承担科研项目情况

1  青藏高原湖泊过程及其与大气相互作用的高分辨率模式发展和模拟研究, 负责人国家任务, 2017-01--2020-12
2  面向水资源管理的天然水循环要素遥感监测技术研究, 负责人国家任务, 2017-07--2020-12
3  资源环境承载力综合评价技术系统集成与应用, 负责人国家任务, 2017-01--2020-12
4  一带一路可持续发展指标选择与示范, 参与中国科学院计划, 2018-10--2022-12
5  湖泊演变与气候变化响应, 参与国家任务, 2019-11--2022-10
6  地球大数据支撑水安全可持续发展目标研究, 负责人中国科学院计划, 2021-01--2022-12
7  长江源卓乃湖-盐湖流域河流与湖泊水系统变化研究, 负责人国家任务, 2022-01--2025-12
8  兴都库什-喜马拉雅区域可持续发展遥感评估与能力建设, 负责人国家任务, 2022-01--2024-12
9  青海省河湖水系结构稳定性及灾变风险研究, 负责人地方任务, 2021-11--2024-12

 

 

获奖及荣誉

2016.3 南京水利科学研究院科技进步奖特等奖 排名第5

2021.7 提出的《“亚洲水塔”失衡失稳对青藏高原河流水系的影响如何?》获选中国科协2021年度10个前沿科学问题

2022.12 发展的“河流与湖库水下三维地形模拟与无人探测技术”入选水利部2022年度成熟适用水利科技成果推广清单

 

 

主要论著

1)学术论文

     [1]  Lu, S., Wang, Y., Zhou, J., Hughes, A.C., Li, M., Du, C., Yang, X., Xiong, Y., Zi, F., Wang, W., Zheng, Z., Fang, C., Yu, S. 2022. Active water management brings possibility restoration to degraded lakes in dryland regions: A case study of Lop Nur, China. Scientific Reports, 12:18578. (SCI)

[2]    Lu, S., Jia, L., Jiang, Y., Wang, Z., Duan, H., Shen, M., Tian, Y., Lu, J. 2021. Progress and Prospect on Monitoring and Evaluation of United Nations SDG 6 (Clean Water and Sanitation) Target. Bulletin of Chinese Academy of Sciences, 36(8): 904-913.

[3]    Lu, S., Jin, J., Zhou, J., Li, X., Ju, J., Li, M., Chen, F., Zhu, L., Zhao, H., Yan, Q., Xie, C., Yao, X. 2021. Drainage basin reorganization and endorheic-exorheic transition triggered by climate change and human intervention. Global and Planetary Change 201: 103494. (SCI)

[4]    Lu, S., Chen, F., Zhou, J., Hughes, A.C., Ma, X., Gao, W. 2020. Cascading implications of a single climate change event for fragile ecosystems on the Qinghai-Tibetan Plateau. Ecosphere, 11(9): e03243. (SCI)

[5]    Lu, S., Ma, J., Ma, X., Tang, H., Zhao, H., and Ali Bai Hasan, M. 2019. Time series of Inland Surface Water Dataset in China (ISWDC) for 2000-2016 derived from MODIS archives. Earth Syst. Sci. Data, 11, 1-10, https://doi.org/10.5194/essd-11-1-2019. (SCI)

[6]    Lu, S., Ma, J., Ma, X., Tang, H., Zhao, H., and Ali Bai Hasan, M. 2018. Time series of Inland Surface Water Dataset in China (ISWDC) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.2616035.

[7]    Lu, S., Li, J., Zhang, L., Wei, Y., Baig, M.H.A., Zhai, Z., Meng, J., Li, X., Zhang, G. 2017. Lake water surface mapping in the Tibetan Plateau using the MODIS MOD09Q1 product, Remote Sensing Letters, 8(3): 224-233. (SCI)

[8]    Lu, S., Zhou, J., Dubee, F. 2016. New allies fight for China's environment. Science, 352 (6287), 781. (SCI)

[9]    Lu, S., Zhang, L., Guo, S., Fan, L., Meng, J., Wang, G. 2016. Forty years channel change on the Yongdinghe River, China: Patterns and causes. The International Journal of River Basin Management, 2016, 14(2): 183-193.

[10] Lu, S., Wu, B., Wei, Y., Yan, N., Wang, H., Guo, S. 2015. Quantifying the impacts of climate variability and human activities on the hydrological system of the Haihe River Basin, China. Environmental Earth Sciences, 73:1491-1503. (SCI)

[11] Lu, S., Ouyang, N., Wu, B., Wei, Y., Tesemma, Z. 2013. Lake water volume calculation with time series remote-sensing images. International Journal of Remote Sensing, 34(22): 7962-7973. (SCI)

[12] Lu, S., Wu, B., Wang, H., Ouyang, N., Guo, S. 2012. Hydro-ecological impact of water conservancy projects in the Haihe River Basin. Acta Oecologica, 44: 67-74. (SCI)

[13] Lu, S., Wu, B., Yan, N., Wang, H. 2011. Water body mapping method with HJ-1A/B satellite imagery. International Journal of Applied Earth Observation and Geoinformation, 3(13): 428-434. (SCI)

[14] Lu, S., Wu, B., Li, F. 2011. Wetland pattern change in Hai Basin. Journal of Remote Sensing, 15(2): 349-371.

[15] Lu, S., Zou, L., Shen, X., Wu, W., Zhang, Z. 2010. Multi-spectral remote sensing image enhancement method based on PCA and IHS transformation. Journal of Zhejiang University-SCIENCE A, 16(6): 453-460. (SCI)

[16] Lu, S., Shen, X., Zou, L., et al. 2008. Remote sensing image enhancement method of the fault thermal information based on scale analysis: A case study of Jiangshan-Shaoxing fault between Jinhua and Quzhou of Zhejiang Province, China. Chinese Journal of Geophysics, 51(5): 1047-1057. (SCI)

[17] Lu, S., Shen, X., Zou, L., et al. 2008. An integrated classification method for Thematic Mapper imagery of plain and highland terrains. Journal of Zhejiang University SCIENCE A, 9(6): 858-866. (SCI)

[18] Lu, S., Shen, X., Zou, L. 2006. Land cover change in Ningbo and its surrounding area of Zhejiang Province, 1987-2000. Journal of Zhejiang University SCIENCE A, 7(4): 633-640. (SCI)

[19] Fang, C., Lu, S., Li, M., Wang, Y., Li, X., Tang, H., Ikhumhen, H.O. 2023. Lake water storage estimation method based on similar characteristics of above-water and underwater topography. https://doi.org/10.1016/j.jhydrol.2023.129146

[20] Li, M., Lu, S., Du, C., Wang, Y., Fang, C., Li, X., Tang, H., Ali Baig, M.H., Ikhumhen, O. 2022. Time-series surface water reconstruction method (TSWR) based on spatial distance relationship of multi-stage water boundaries. International Journal of Digital Earth, 15(1): 23352354. (SCI)

[21] Tang, H., Lu, S., Baig, M.H.A., Li, M., Fang, C., Wang, Y. 2022. Large-Scale Surface Water Mapping Based on Landsat and Sentinel-1 Images. Water, 14: 1454. (SCI)

[22] Wang, Y., Lu, S., Zi, F., Tang, H., Li, M., Li, X., Fang, C., Ikhumhen, H.O. 2022. Artificial and Natural Water Bodies Change in China, 20002020. Water, 14: 1756. (SCI)

[23] Chen, Y., Lu, S., Zhou, J., Ali Baig, M.H., Chen, F., Tang, H., Zhang, Y., Yang, X., Ge, L. 2021. Hydrological ecosystem changes and impacts after the Zonag Lake outburst in Hoh Xil of Tibetan Plateau. Journal of Asian Earth Sciences: X 6: 100064.

[24] Zhai, Z., Lu, S., Wang, P., Tang, H., Liu, D., Han, Q., Guo, J., Liu, X., Wei, T. 2021. Ocean Chlorophyll-a retrieval using GF1-WFV data-a case study of the central Bohai Sea. IOP Conference Series: Earth Environmental Science, 626: 012021.

[25] Tang, H., Lu, S., Cheng, Y., Ge, L., Zhang, J. 2019. Analysis of dynamic changes and influence factors of Lake Balkhash in the last twenty years. Journal of Groundwater Science and Engineering, 7(3): 214-223.

[26] Ikhumhen, H.O., Li, T., Lu, S., Matomela, N. 2020. Assessment of a novel data driven habitat suitability ranking approach for Larus relictus specie using remote sensing and GIS. Ecological Modelling, 432: 109221. (SCI)

[27] Ikhumhen, H.O., Li, T., Lu, S., Matomela, N. 2020. Larus relictus HABITAT HIERARCHICAL EVALUATION BASED ON A DATA DRIVEN APPROACH. Environmental Engineering and Management Journal, 19(12): 2217-2229. (SCI)

[28] Du, H, Xue, X., Wang, T., Lu, S., Liao, J., Li, S., Fan, Y., Liu, X. 2022. Modeling dust emission in alpine regions with low air temperature and low air pressure A case study on the Qinghai-Tibetan Plateau (QTP). Geoderma, 422: 115930. (SCI)

[29] Zhao, G., Yao, P., Fu, L., Zhang, Z., Lu, S., Long, T. 2022. A Deep Learning Method Based on Two-Stage CNN Framework for Recognition of Chinese Reservoirs with Sentinel-2 Images. Water, 14: 3755. (SCI)

[30] Zhang, S., Ma, Y., Chen, F., Liu, J., Chen, F., Lu, S., Jiang, L., Li, D. 2020. A new method for supporting interpretation of paleochannels in a large scale Detrended Digital Elevation Model Interpretation. Geomorphology, 369: 107374. (SCI)

[31] Zhang, Q., Jin, J., Zhu, L., Lu, S. 2018. Modeling of water surface temperature of three lakes on the Tibetan Plateau using a physically based lake model. Atmosphere-Ocean, doi:10.1080/07055900.2018.1474085. (SCI)

[32] Li J., Guo, Y., Wang, Y., Lu, S., Chen, X. 2018. Drought Propagation Patterns under Naturalized Condition Using Daily Hydrometeorological Data. Advances in Meteorology, https://doi.org/10.1155/2018/2469156. (SCI)

[33] Zhang, L., Lu, D., Li, Q., Lu, S. 2018. Impacts of socioeconomic factors on cropland transition and its adaptation in Beijing, China. Environmental Earth Sciences, 77: 575. (SCI)

[34] Zhang, L., Li, X., Lu, S., Jia, K. 2016. Multi-scale object-based measurement of arid plant community structure. International Journal of Remote Sensing, 37(10): 2168-2179. (SCI)

[35] Zhu, W., Wu, B., Lu, S. 2014. An improved empirical method for large spatial scale surface soil heat flux estimations. Earth and Environmental Science, 17: 1-6. (SCI)

[36] Baig, M.H.A., Zhang, L., Wang, S., Jiang, G., Lu, S., Tong, Q. 2013. Comparison of MNDWI and DFI for water mapping in flooding season. IEEE IGARSS, 2876-2879.

[37] Xing, Q., Wu, B., Zhu, W., Lu, S. 2013. The improved ET calculation in winter by introducing radar-based aerodynamic roughness information into ETWatch System. IEEE IGARSS, 1824-1826.

[38] Wu, W., Zou, L., Shen, X., Lu, S., et al. 2012. Thermal anomalies associated with faults: a case study of the JinhuaQuzhou basin of Zhejiang Province, China. International Journal of Remote Sensing, 33(6): 1850-1867. (SCI)

[39] Wu, W., Zou, L., Shen, X., Lu, S., et al. 2012. Thermal infrared remote-sensing detection of thermal information associated with faults: A case study in Western Sichuan Basin, China. Journal of Asian Earth Sciences, 43: 110-117. (SCI)

[40] Zhang, X., Wu, B., Li, X., Lu, S. 2012. Soil erosion risk and its spatial pattern in upstream area of Guanting reservoir. Environmental Earth Sciences, 65(1): 221-229. (SCI)

[41] Ouyang, N., Lu, S., Zhu, J., Wu, B., Wang, H. 2011. Wetland Restoration Suitability Evaluation at the Watershed Scale - A Case Study in Upstream of the Yongdinghe River. Procedia Environmental Sciences, 10: 1926-1932.

[42] Wu, B., Lu, S. 2011. Watershed remote sensing: methodology and a paradigm in Hai Basin. Journal of Remote Sensing, 15(2): 201-223.

[43] Wang, H., Wu, B., Lu, S., Li, J., Ouyang, N. 2011. Water resources estimation model based on remote sensing evapotranspiration. ISWREP, 2: 936-939.

[44] Wu B., Xiong, J., Lu, S. 2010. Discussion on Remote Sensed ET validation and Land-use Accuracy Assessment. HAIHE River Basin Research and Planning Approach-Proceedings of 2009 International Symposium of HAIHE Basin Integrated Water and Environment Management. 978-0-9807687-1-8: 336-342.

[45] Zhang, G., Zou, L., Shen, X., Lu, S., et al. 2009. Remote sensing detection of heavy oil through spectral enhancement techniques in the western slope zone of Songliao Basin, China. AAPG Bulletin, 93(1): 31-49. (SCI)

[46] Li, R., Shi, J., Zhao, T., Wang, T., Lu, S. 2020. Soil moisture estimation based on Landsat-8 and Modis in the upstream of Luan River Basin China. IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM , pp.4922-4925.

[47] Zhang, G., Shen, X., Zou, L., Li, C., Wang, Y., Lu, S. 2007. Detection of hydrocarbon bearing sand through remote sensing techniques in the western slope zone of Songliao basin, China. International Journal of Remote Sensing, 28(8): 1819-1833. (SCI)

[48] Wang, L., Liu, H., Zhong, X., Zhou, J., Zhu, L., Yao, T., Xie, C., Ju, J., Chen, D., Yang, K., Zhao, L., Lu, S., et al. 2022. Domino effect of a natural cascade alpine lake system on the Third Pole, PNAS Nexus, 1: 19. (SCI)

[49] Guo, H., Liang, D., Sun, Z., Chen, F., Wang, X., Li, J., Bian, J., Wei, Y., Huang, L., Chen, Y., Peng, D., Li, X., Lu, S., Liu, J., Shirazi, Z. 2022. Measuring and evaluating SDG indicators with Big Earth Data. Science Bulletin, 67(17): 1792-1801.

[50] 卢善龙贾立蒋云钟王宗明段洪涛沈明田雨卢静. 2021. 联合国可持续发展目标 6(清洁饮水与卫生设施)监测评估:进展与展望中国科学院院刊, 36(8)904-913.

[51] 卢善龙陈甫邱玉宝. 2018. 三江源国家公园核心区卓乃湖沙化严重中国科学院专报信息, 135. 中办国办采纳.

[52] 卢善龙金继明贾立等. 2017. 基于MODIS MOD09Q1的青海、西藏湖泊水面数据集(20002012). 中国科学数据, 2(2). DOI: 10.11922/csdata.170.2016.0113.

[53] 卢善龙肖高怀贾立等. 2016. 2000~2012 年青藏高原湖泊水面时空过程数据集遥感提取国土资源遥感. 28(3): 181-187.

[54] 卢善龙吴炳方李发鹏等. 2010. 河川径流遥感监测研究进展地球科学进展, 25(8): 820-826.

[55] 卢善龙沈晓华邹乐君等. 2009. 用于地表温度场与断裂构造关系分析的分段均值法——以江山-绍兴断裂金衢段为例地质学报, 83(2): 1-8.

[56] 卢善龙沈晓华邹乐君等. 2008. 基于尺度分析的断层热信息遥感图像增强方法—以江山-绍兴断裂金衢段为例地球物理学报, 51(5): 1484-1493.

[57] 牛振国卢善龙朱亮. 2017. 白洋淀流域地表水和湿地减少严重中国科学院专报信息, 112. 中办国办采纳.

[58]  卢善龙丁俊邱玉宝唐海龙闫强. 2020. 气候变化对南极冰面湖的影响研究—以埃默里和拉森A冰架为例极地研究, 32(3): 322-335.

[59] 马小奇卢善龙马津等. 2019. 基于地形参数的湖泊水储量估算方法——以青藏高原纳要错为例国土资源遥感. 31(4), 167-173.

[60] 翟召坤卢善龙暴柱等, 2018. 基于GF-1卫星WFV数据的潘家口水库水质参数遥感估算模型研究中国水利水电科学研究院学报, 16(4): 297-306.

[61] 马津卢善龙齐建国翟召坤. 2019. 水文资料缺乏区河流流量遥感估算模型研究与应用测绘科学, 44(5): 184-190.

[62] 翟召坤卢善龙王萍等. 2017. 基于NSIDC海冰产品的FY北极海冰数据集优化地球信息科学, 19(2): 143-151.

[63] 王浩卢善龙吴炳方李晓松. 2013. 不透水面提取及应用研究进展地球科学进展, 28(3): 327-336

[64] 欧阳宁雷卢善龙吴炳方朱建军王浩. 2012. 流域尺度湿地恢复及可行性评价——以白洋淀流域为例湿地科学. 10(2): 200-205.

[65] 王京卢善龙吴炳方等. 2010. 40年白洋淀湿地土地区覆被变化分析地球信息科学学报, 12(2): 292-299.

[66] 陈喜芬吴文渊卢善龙徐俊锋张登荣胡潭高. 2021. 基于KeyholeLandsat MSS融合影像的土地利用变化监测研究——以杭州湾南岸为例北京师范大学学报(自然科学版), 57(06): 845-853.

[67] 孙玉燕张磊卢善龙刘红超. 2020. 基于动态NDSI阈值的每日积雪监测方法地球信息科学学报, 22(2): 298-307.

[68] 肖高怀侯淑涛卢善龙. 2015. 基于Saxton 模型的土壤水分特征栅格化计算平台研究东北农业大学学报. 46(5): 68-74.

[69] 刘梅李发鹏卢善龙乔玉霜刘焕焕. 2011. 流域系统重金属污染研究进展安徽农业科学, 39(25): 15622-15626.

[70] 吴炳方熊隽卢善龙闫娜娜. 2009. 遥感蒸散和土地利用的精度验证问题. 2009GEF海河流域水资源与水环境综合管理项目国际研讨会, 2009-12-01, 604-613.

[71] 王立辉,于顺利,周晋峰,卢善龙. 2021. 罗布泊及周边地区植物区系和植被特征兼论植被的恢复与保护.绿色科技, 23(18): 1-5.

[72] 王浩吴炳方李晓松卢善龙. 2011. 流域尺度的不透水面遥感提取遥感学报, 15(2): 288-400.

[73] 武文波姬翠翠李晓松卢善龙. 2010. 影响土壤水蚀的环境因子分析中国水土保持, 5: 36-38.

[74] 吴文渊沈晓华邹乐君卢善龙. 2008. 基于Landsat ETM+影像的水体信息综合提取方法科技通报, 24(2): 252-259.

[75] 何宇兵邹乐君沈晓华卢善龙. 2007. 基于MapObjectsArcSDE C-API的地籍数据入库方法计算机应用, 27(1): 186-188.

[76] 罗海静资锋陈玲张微卢善龙. 2015. 高分一号卫星在国土资源领域的应用及前景卫星应用, 3: 41-43.

[77] 吴炳方周月敏闫娜娜曾源熊隽李晓松卢善龙张磊. 2009. 区域生态遥感的发展与未来遥感学报, 13(s1): 138-144.

2)专著(参与编写)

[1]    《地球大数据支撑可持续发展目标报告(2021):中国篇》,科学出版社,2022

[2]    《地球大数据支撑可持续发展目标报告(2021):一带一路篇》,科学出版社,2022

[3]    Measuring Progress Environment and the SDGs》,United Nations Environment Programme, 2021.

[4]    《面向未来的科技:2021重大科学问题、工程技术难题及产业技术问题解读》,中国科学技术出版社,2021.

[5]    《地球大数据支撑可持续发展目标报告》,科学出版社,2021.

[6]    《地球大数据支撑可持续发展目标报告》,科学出版社,2019.

[7]    《流域下垫面变化及其对洪水径流过程影响分析方法及应用》中国水利水电出版社, 2017.

    [8]    《三北防护林工程生态环境效应遥感监测与评估研究》科学出版社, 2016.

 

 

招生信息

地表水资源遥感技术方法研究和地表水资源管理应用方向,每年通过中国科学院大学统一招生1名,与院外合作机构联合培养招生若干名。

 

 

指导学生情况

现指导学生

李明阳  硕士研究生  070503-地图学与地理信息系统  

方纯  硕士研究生  070503-地图学与地理信息系统  

李心如  硕士研究生  070503-地图学与地理信息系统  

联合培养学生

1)已经毕业学生

        王京,辽宁工程技术大学,硕士,2009

        欧阳宁雷,中南大学,硕士,2012

        王浩,中国科学院大学,博士,2013

        肖高怀,东北农业大学,硕士,2014

        朱伟伟,中国科学院大学,博士,2014

        罗海静,湖南科技大学,硕士,2016
       
翟召坤,山东科技大学,硕士,2017

        马津,山东农业大学,硕士,2018

        马小奇,中国地质大学(北京),硕士,2018

        唐海龙,成都理工大学,硕士,2018~2020

        王辉,湘潭大学,硕士,2018~2020

        Harrison Odion Ikhumhen,北京科技大学,博士,2017-2020

 

2)在读学生

        王勇,湖南科技大学,硕士,2021-2023

        王南,新疆大学,硕士,2022-2024

        杜蓬,北京信息科技大学,硕士,2022-2025

        张博,北京信息科技大学,硕士,2022-2025

 

        胡凯鑫,北京信息科技大学,硕士,2022-2025