头像
陆应诚
教授
国际地球所、地理信息科学系
电话:
邮箱:
luyc@nju.edu.cn
地址:
江苏省南京市栖霞区仙林大道163号
办公地址:
昆山楼B462室
邮编:
210023
  • 1. 研究目标与兴趣

           主要从事海洋环境遥感研究。研究目标与兴趣在理解和量化海洋环境中不同目标对光的作用过程,开发海洋水色、海洋生态系统、海洋环境动力的遥感技术与应用,加深对海洋环境的理解与认知;目前聚焦于海面漂浮目标(溢油、大型漂浮藻、漂浮垃圾等)、海洋环境动力(海洋白帽、海面波浪等)与新型海洋光学遥感机理研究。主要学术贡献在于:测量与阐明了不同海洋溢油污染类型的光谱特征与响应原理;完善了溢油海面的太阳耀光(及偏振耀光)反射原理与计算;发展了海洋溢油识别分类与定量估算方法;厘清了不同海洋溢油污染类型的卫星热红外遥感原理。研究成果为国产自主海洋水色业务卫星开展海洋溢油监测提供了理论依据与方法参考。Remote Sensing of EnvironmentJournal of Geophysical ResearchISPRS Journal of Photogrammetry and Remote Sensing, 中国科学、科学通报、遥感学报等国内外期刊上发表论文多篇,先后主持国家自然科学基金项目5项,主持参与重点研发课题、子课题等多项,申请/授权发明专利多件。


    2. 研究方向

      遥感机理方法

      海洋环境遥感



    3. 研究生招生(详见每年招生简章)

          博士研究生每年招生约2-3人,在地理与海洋科学学院、中国南海研究协同创新中心等2个单位招生

          硕士研究生每年招生约1-2人(地图学与地理信息系统、资源环境遥感)

    地图学与地理信息系统、资源环境遥感

  • 1.发表论文

    [1].Yin, Z and Lu, Y*. Optical Quantification of Wind-wave Breaking and Regional Variations in Different Offshore Seas Using Landsat-8 OLI Images. Journal of Geophysical Research: Atmosphere, 2025,130, e2024JD041764. https://doi.org/10.1029/2024JD041764

    [2].Jiao, J., Lu, Y*., Hu, C. Characterizing oil spills using deep learning and spectral-spatial-geometrical features of HY-1C/D CZI images. Remote Sensing of Environment, 2024, 308: 114205.

    [3].Wang, L., Lu, Y*., Wang, M. et al. Mapping of oil spills in China Seas using optical satellite data and deep learning. Journal of Hazardous Materials, 2024, 480: 135809

    [4].Yin, Z., Lu, Y., Liu Y. et al. Monitoring discharge from deep-sea mining ships via optical satellite observations. Journal of Oceanology and Limnologyhttps://doi.org/10.1007/s00343-024-3264-0.

    [5].Suo, Z., Lu, Y*., Liu, J., et al. Extracting iceberg freeboard using shadow length in high-resolution optical images. Geo-Spatial Information Science, 2024, 27(3), 892–901.

    [6].M. Wang, L. Wang, J. Jiao, Q. Song, C. Ma, S. Yang, W. Ju, L. Tian, and Lu, Y*. Sea surface Fresnel reflections difference driven de-glint algorithm for airborne optical images, Optics Letters. 2024, 49, 4090-4093.

    [7].赵崴,王利锋,牛生丽,吕航,宋舒娴,焦俊男,宋庆君,陆应诚*. 基于多源遥感数据的交响乐轮溢油污染监测. 海洋学报202446(9)109–119

    [8].Jiao, J., Lu, Y*., Hu, C. Optical interpretation of oil emulsions in the ocean - Part III: A three-dimensional unmixing model to quantify oil concentration. Remote Sensing of Environment, 2023, 296: 113719.

    [9].Tang, J., Jiao, J., Suo, Z., Liu, Y and Lu, Y*. Effect of viewing angle difference on spaceborne optical estimation of floating Ulva prolifera biomass in the Yellow Sea. Optics Express, 2023, 31, 29986-29993

    [10]. Zhu, X., Lu, Y., Dou, C., and W. Ju. Improving sea surface floating matter identification from Sentinel-2 MSI imagery using optical radiative simulation of neighborhood difference. Optics Express, 2023, 31, 27612-27620.

    [11]. Suo, Z., Li, L., Lu, Y* et al. Sunglint reflection facilitates performance of spaceborne UV sensor in oil spill detection. Optics Express, 2023, 31, 14651-14658.

    [12].唐君,陆应诚*,焦俊男. 中国近海绿潮生物量的卫星遥感估算方法研究. 遥感学报. 2023.

    [13].朱小波,沈亚峰,刘建强,丁静,焦俊男,居为民,陆应诚*. 基于耀光反射差异的海面溢油遥感识别提取. 遥感学报. 2023, 27(1): 197-208.

    [14].赵碧,丁静,刘建强,焦俊男,唐君,陆应诚*. 海洋白帽的高空间分辨率光学遥感估算分析. 遥感学报, 2023, 27(1): 92-103.

    [15]. Zhu, X., Lu, Y*, Liu, J., et al. Optical Extraction of Oil Spills from Satellite Images Under Different Sunglint Reflections. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 4210714.

    [16]. Zhao, B., Lu, Y*., Ding, J., et al. Discrimination of Oceanic Whitecaps Derived by Sea Surface Wind Using Sentinel-2 MSI Images. Journal of Geophysical Research: Oceans, 2022, 127, e2021JC018208.

    [17]. Wang, M., Hu, Q., Zhu, X., Lu, Y*., et al. Correction of multi-scale sunglint reflections from the water surface in airborne high-spatial resolution optical images. Optics Express, 2022, 30, 45910-45917.

    [18]. Jiao, J., Lu, Y*., Liu, Y. Optical quantification of oil emulsions in multi-band coarse-resolution imagery using a lab-derived HSV model. Marine Pollution Bulletin. 2022, 178, 113640

    [19]. Suo, Z., Lu, Y*., Liu, J., Ding, J., Xing, Q., Yin, D., Xu, F., and Liu, J. HY-1C ultraviolet imager captures algae blooms floating on water surface. Harmful Algae, 2022, 114, 102218

    [20]. Wang, Q., Lu, Y*., Hu, C., Hu, Y., Zhang, M., Jiao, J., Xiong, J., Liu, Y., Discrimination of Biomass-Burning Smoke from Clouds Over the Ocean Using MODIS Measurements, IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 4102010.

    [21]. X. Wu, Lu, Y*, J. Jiao, J. Ding, W. Fu and W. Qian. Using Sea Wave Simulations to Interpret the Sunglint Reflection Variation with Different Spatial Resolutions, IEEE Geoscience and Remote Sensing Letters, 2022, 19, 1501304, doi: 10.1109/LGRS.2020.3033700.

    [22]. Dong, Y., Liu, Y., Hu, C., MacDonald, I.R., Lu, Y. Chronic oiling in global oceans. Science. 2022, 376 (6599), 1300–1304.

    [23]. 刘建强,陆应诚*,丁静等,中国海洋水色业务卫星揭示我国近海溢油污染状况,科学通报2022, 67: 1-12.

    [24]. 刘锦超,刘建强,丁静,陆应诚*. HY-1C 卫星CZI 载荷的黄海绿潮提取研究. 海洋学报202244(5)1-11.

    [25]. Jiao, J., Lu, Y*., Hu, C., Shi, J., Sun, S., Liu, Y., Quantifying ocean surface oil thickness using thermal remote sensing, Remote Sensing of Environment, 2021, 261: 112513.

    [26]. Suo Z, Lu, Y*., Liu, J. et al., Ultraviolet remote sensing of marine oil spills: a new approach of Haiyang-1C satellite, Optics Express, 2021, 29, 13486-13495

    [27]. Hu, C., Lu, Y., Sun, S., Liu, Y., 2021. Optical remote sensing of oil spills in the ocean: what is really possible? Journal of Remote Sensing. 2021, 9141902.

    [28]. Lu, Y*., Shi, J., Hu, C., Zhang, M., Sun, S., & Liu, Y. Optical interpretation of oil emulsions in the ocean Part II: Applications to multi-band coarse-resolution imagery. Remote Sensing of Environment, 2020, 242: 111778.

    [29]. Zhou, Y., Lu, Y*., Shen, Y., Ding, J., Zhang, M., & Mao, Z. Polarized remote inversion of the refractive index of marine spilled oil from PARASOL images under sunglint, IEEE Transactions on Geoscience and Remote Sensing. 2020, 58(4): 2710-2719.

    [30]. 沈亚峰, 刘建强, 丁静, 焦俊男, 孙绍杰, 陆应诚*. 海洋一号C星光学载荷对海面溢油的识别能力分析, 遥感学报, 2020, 24(8): 933-944. (封面论文)

    [31]. Lu, Y*., Shi J., Wen Y., Hu C., Zhou Y., Sun S., Zhang M., Mao Z., & Y. Liu. Optical interpretation of oil emulsions in the ocean Part I: Laboratory measurements and proof-of-concept with AVIRIS observations, Remote Sensing of Environment, 2019, 230:111183.

    [32]. Lu T., Lu, Y*., Hu, L., Jiao, J., Zhang, M., & Liu, Y. Uncertainty in the optical remote estimation of the biomass of Ulva prolifera macroalgae using MODIS imagery in the Yellow Sea. Optics Express, 2019, 27(13), 18620-18627.

    [33]. 陆应诚*, 刘建强, 丁静, 石静,陈君颍,叶小敏. 中国东海桑吉轮溢油污染类型的光学遥感识别. 科学通报, 2019, 64: 3213–3222. (封面论文)

    [34]. Shi, J., Jiao J., Lu, Y*., Zhang M., Mao Z., & Y. Liu. Determining spectral groups to distinguish oil emulsions from Sargassum over the Gulf of Mexico using an airborne imaging spectrometer. ISPRS Journal of Photogrammetry and Remote Sensing. 2018, 146, 251-259.

    [35]. Jin, S., Lu, Y*., Liu, Y., et al. Refined use of AISA band-differences for oil slick identification beyond brightness contrast reversal under sunglint, Optics Express, 2018, 26(26):33748-33755.

    [36]. Wen, Y., Wang, M., Lu, Y*., Sun, S., Zhang, M., Mao, Z., Shi, J., & Liu, Y. An alternative approach to determine critical angle of contrast reversal and surface roughness of oil slicks under sunglint. International Journal of Digital Earth, 2018, 11(9), 972-979.

    [37]. 温颜沙, 邓建明, 毛志华, 石静, 周杨, 鲁婷, 陆应诚*. 水面菲涅尔反射对~761 nm叶绿素荧光估算的影响. 遥感学报, 2018, 22(03): 424-431.

    [38]. Sun, S., Lu, Y., Liu, Y. et al., Tracking an oil tanker collision and spilled oils in the East China Sea using multisensory day and night satellite imagery. Geophysical Research Letters, 2018, 45:3212-3220

    [39]. Lu, Y., Zhou Y., Liu Y., Mao Z., Qian W., Wang M., Zhang M., Xu J., Sun S., and P. Du. Using remote sensing to detect the polarized sunglint reflected from oil slicks beyond the critical angle. Journal of Geophysical Research: Oceans, 2017, 122, 6342-6354.

    [40]. Zhou Y., Jiang L., Lu, Y*., Zhan W., Mao Z., Qian W., & Y. Liu. Thermal infrared contrast between different types of oil slicks on top of water bodies. IEEE Geoscience and Remote Sensing Letters, 2017, 14(7): 1042-1045.

    [41]. Lu, Y., Zhan W., & C. Hu. Detecting and quantifying oil slick thickness by thermal remote sensing: A ground-based experiment. Remote Sensing of Environment. 2016, 181: 207-217.

    [42]. Lu, Y*., Li L., Hu C., Li L., Zhang M., Sun S., & C. Lv. Sunlight induced chlorophyll fluorescence in the near-infrared spectral region in natural waters: Interpretation of the narrow reflectance peak around 761 nm, Journal of Geophysical Research: Oceans, 2016, 121, 5017-5029.

    [43]. Lu, Y*., Sun S., Zhang M., Murch B., & C. Hu. Refinement of the critical angle calculation for the contrast reversal of oil slicks under sunglint, Journal of Geophysical Research: Oceans, 2016, 121, 148-161.

    [44].陆应诚*, 胡传民, 孙绍杰, 张民伟, 周杨, 石静, 温颜沙. (2016), 海洋溢油与烃渗漏的光学遥感研究进展, 遥感学报20 (5): 1259-1269.

    [45]. Lu, Y*., Q. Tian, X. Wang, G. Zheng, and X. Li (2013). Determining oil slick thickness using hyperspectral remote sensing in the Bohai Sea of China. International Journal of Digital Earth, 6(1): 76-93.

    [46]. Lu, Y*., W. Qian, C. Lyu, Q. Tian, D. Lu, and S. Sun (2013). Empirical Relationship among Wavelength, Reflectance, and Concentration of Suspended Particulate Matter in Water Based on a Laboratory Experiment. Optical Review, 20(6):509-512.

    [47]. Lu, Y*., X. Li, Q. Tian, G. Zheng, S. Sun, Y. Liu, and Q. Yang (2013). Progress in Marine Oil Spill Optical Remote Sensing: Detected Targets, Spectral Response Characteristics, and Theories. Marine Geodesy, 36(3): 334-346.

    [48]. Lu, Y*., X. Li, Q. Tian, and W. Han (2012). An optical remote sensing model for estimating oil slick thickness based on two-beam  interference theory. Optics Express, 20(22): 24496-24504.

    [49]. Lu, Y*., Q. Tian and X. Li (2011). The remote sensing inversion theory of offshore oil slick thickness based on a two-beam interference model. Science China Earth Sciences. 54(5): 678–685.陆应诚, 田庆久, 李想. 基于浮油膜双光束干涉模型的油膜厚度遥感反演理论. 中国科学: 地球科学, 2011, 41( 4): 541 - 548

    [50]. Lu, Y*, Q. Tian, J. Wang, X. Wang, and X. Qi (2008). Experimental study on spectral responses of offshore oil slick. Chinese Science Bulletin, 53(4): 3937-3941. (陆应诚, 田庆久, 王晶晶, 王向成, 齐小平. 海面油膜光谱响应实验研究. 科学通报, 2008, 53(9): 1085-1088)

    [51]. 陆应诚*, 陈君颖, 包颖, 韩文超,李想,田庆久,张秀英. 基于HJ-1CCD数据的溢油遥感特性分析与信息提取. 中国科学: 信息科学, 2011, 41: 193-201.

    [52]. 陆应诚*,田庆久,齐小平,王晶晶,王向成. 海面甚薄油膜光谱响应研究与分析,光谱学与光谱分析2009, 29(4): 986-989.

    [53]. 陆应诚*, 田庆久, 宋鹏飞, 李姗姗. 海面油膜高光谱遥感信息提取. 遥感学报2009,13(4): 691-695.


    2.出版专著

    • 陆应诚,刘建强,丁静等. 海洋溢油光学遥感原理与应用实践. 科学出版社,2021.


    3.专利

    [1].一种基于参数查找表的海洋溢油油膜厚度高光谱遥感估算方法(授权),2016.08.03,中国,CN201210531836.5

    [2].多用途石油烃光学遥感探测系统(授权),2013.5.8,中国,ZL201320296521.7

    [3].一种基于基团光谱特征的海洋溢油乳化物遥感识别方法,中国专利, 申请, 2018.6.12, 201810600772.7

    [4].一种基于遥感多光谱影像的NDVI阴影影响去除方法中国专利, 申请, 2018.6.12, 201810600462.5

    [5].一种基于耀光反射差异的海面溢油光学遥感检测方法,中国专利, 申请, 2018.9.9, 201811094655.4

    [6].一种基于光学卫星数据的海面油膜自动提取方法和装置,中国专利,202411223770.2

    [7].基于紫外吸收特征的野火烟霾遥感识别和排放系数估算方法,中国专利,202411398895.9

    [8].一种基于紫外反射差异的海冰遥感识别方法,中国专利,202411398824.9


  • 1. 国家自然科学基金

    [1].国家自然科学基金面上项目“海洋乳化溢油等效厚度的光学遥感估算研究”(2023年,42371380

    [2].国家自然科学基金面上项目“溢油海面耀光反射率的遥感估算研究”(2020年,42071387

    [3].国家自然科学基金面上项目“海洋溢油乳化物的光学遥感模型研究”(2017年,41771376

    [4].国家自然科学基金青面连续资助项目“典型海洋溢油污染的高光谱响应机理研究”(2013年,41371014

    [5].国家自然科学基金青年基金项目“海面薄油膜的高光谱响应机理研究”(2010年,41101196


    2. 国家重点研发计划

    [1].国家重点研发计划课题“海洋塑料垃圾天空地多源遥感精准识别技术”(课题负责人,2024年)

    [2].国家重点研发计划子课题“国产海洋水色业务卫星的海冰遥感响应机理研究”(子课题,2021年)

    [3].国家重点研发计划子课题“全球海上油气田资源与环境动态监测与变化分析技术”(项目骨干,2016年)


    3. 其他项目

    [1].南京大学AI & AI for Science专项项目“卫星大数据支持下的海洋溢油及其环境损害智能监测估算”(2024年)

    [2].风云卫星应用先行计划任务“风云卫星森林草原火灾烟霾遥感评估与预报”(2024年)

    [3].中国科学院空天信息研究创新研究院委托项目“典型海岸带近海漂浮垃圾的卫星遥感监测与变化分析”(2024年)

    [4].国家卫星海洋应用中心项目“海面多要素遥感的空间尺度转换研究”(2024年)

    [5].中国空间技术研究院CAST项目“基于国产光学卫星数据的近海绿潮生物量遥感及其固碳能力评估技术”(2023年)

    [6].国家卫星海洋应用中心委托项目“高分辨率海气耦合偏振辐射模拟软件开发”(2023年)

    [7].国家卫星海洋应用中心委托项目“海洋溢油光学遥感图像识别提取算法”(2023年)

    [8].中国科学院战略性先导科技专项子课题“海洋漂浮垃圾监测光学卫星科学概念研究”(2022, XDA19090140,子课题负责人)

    [9].中国科学院空天信息研究创新研究院委托项目“中国近海绿潮生物量的时空变化趋势分析数据集”(2022年)

    [10].中国科学院空天信息研究创新研究院委托项目“泛北极航道海洋环境动态遥感研究”(2020年)

    [11].国家卫星海洋应用中心委托项目“高轨海洋卫星紫外波段数据遥感应用研究”(2021年)

    [12].国家卫星海洋应用中心委托项目“高轨海洋卫星海洋灾害遥感监测应用研究”(2020年)

    [13].国家卫星海洋应用中心委托项目“溢油光学辅助检测算法和代码开发”(2018年)

    [14].南京理工大学委托项目“典型卫星红外影像中海上目标特征分析”(2020年)


版权所有 © 南京大学