毛志华海洋卫星遥感技术与应用

职称:研究员
学科专业:海洋水色卫星遥感
办公电话:0571-81963115
导师: 博士生
电子邮件:mao@sio.org.cn
通讯地址:杭州市西湖区保俶北路36号

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个人名片
  • 个人简介

    毛志华,男,1966年生,博士,研究员,博士生导师。

    专业领域为海洋遥感主要研究海洋遥感成像机理,卫星遥感资料的大气校正、几何配准、水色要素反演算法,高光谱遥感,海洋渔业遥感,卫星资料处理专用软件开发,遥感业务应用系统建设等。

           


  • 教育经历

    1984.09-1988.07 浙江大学计算机系,学士 1993.01-1993.07 德国柏林自由大学,合作研究 1994.09-1996.07 浙江大学地科系,硕士 1996.09-1999.07 中科院上海技物所,物理电子学,博士 2004.12-2005-06 加拿大贝德福德海洋研究所,高访
  • 工作经历

    1988.07-至今 国家海洋局第二海洋研究所,研究员 2010.12-至今 卫星海洋环境动力学国家重点实验室,副主任 2008.09-至今 中科院上海技物所,博导 2010.09-至今 浙江大学,博导 2014.09-至今 南京大学,博导
  • 主要业绩

    毛志华研究员是我所杰出的科研人员,享受国务院政府特殊津贴,2016年获得浙江省有突出贡献中青年专家,2018年获得浙江省特级专家,国家科技部首批“创新人才推进计划”重点领域创新团队《海洋卫星遥感技术创新团队》负责人,海洋遥感专业委员会副主任委员,全国遥感技术标准化技术委员会委员,《地球信息科学学报》等编委。先后承担国家重点研发项目、863计划、国家自然基金等20多项,共获得17次省部级科技奖励,其中国家科技进步二等奖3项,出版专著6本,发表论文100多篇。


  • 近五年主持承担的主要科研项目

    2016-2022

    国家重点研发计划项目(海洋光学遥感探测机理与模型研究 2016YFC14009002500

    2017-2022

    “十二五”海洋观测卫星地面系统专项(HY-1C/D卫星多载荷数据处理分系统,510万)

    2020-2024

    国家自然科学基金重大项目(海洋光学散射机理、测量、表征及其增强传输方法,61991454393

    2019-2022

    高分辨率对地观测系统重大专项(高分水环境监测技术集成与推广应用,05-Y30B01-9001-19/20-2430


  • 代表性学术论著

    著作

    [1] 2017年海洋遥感基础与应用(教材) 海洋出版社

    [2] 2016年海洋遥感资料处理技术 海洋出版社

    [3] 2007年东沙群岛卫星遥感 海洋出版社

    论文

    [1] A new approach to estimate the aerosol scattering. Zhihua Mao 2013. Remote Sensing of Environment.

    [2] A potentially universal algorithm for estimating. Zhihua Mao 2014 .Remote Sensing of Environment.

    [3] A Unified Algorithm for the Atmospheric Correction of Satellite Remote Sensing Data over Land and Ocean. Zhihua Mao 2016.Remote Sensing.

    [4] A dynamic sediment model based on satellitemeasured concentration of the surface suspended matter in the East China Sea. Zhihua Mao 2016. Journal of Geophysical Research:Ocean.

    [5] Aerosols Monitored by Satellite Remote Sensing. Zhihua Mao 2016. InTech.

    [6] Variations in Spectral Absorption Properties of Phytoplankton, Non-Algal Particles and Chromophoric. Liangliang Shi Zhihua Mao 2017. Water

    [7] Data fusion in data scarce areas using a back-propagation artificial neural network model: a case study of the South China Sea. Zheng WANG Zhihua Mao 2017. Front. Earth Sci.

    [8] Atmospheric Correction Methods for GF-1 WFV1 Data in Hazy Weather. Zheng WANG Zhihua Mao 2017.J Indian Soc Remote Sens.

    [9] Using remote sensing to detect the polarized sunglint reflected from oil slicks beyond the critical angle. Lu, Yingcheng Zhihua Mao 2017. Journal of Geophysical Research Oceans.

    [10] Using GOCI Retrieval Data to Initialize and Validate a Sediment Transport Model for Monitoring Diurnal Variation of SSC in Hangzhou Bay, China. Xuefei Yang Zhihua Mao 2016. Water.

    [11] Latitudinal and interannual variations of the spring phytoplankton bloom peak in the East Asian marginal seas. CHEN Cheng Zhihua Mao 2016. Acta Oceanologica Sinica.

    [12] A novel method for discriminating Prorocentrum donghaiense from diatom blooms in the East China Sea using MODIS. Bangyi Tao Zhihua Mao 2015. Remote Sensing of Environment.

    [13] A Layer Removal Scheme for Atmospheric Correction of Satellite Ocean Color Data in Coastal Regions. Zhihua Mao 2021. IEEE Transaction on Geoscience and Remote Sensing.

    [14] A Radiometric Calibration Scheme for COCTS/HY-1C Based on Image Simulation From the Standard Remote-Sensing Reflflectance. Zhihua Mao 2021. IEEE Transaction on Geoscience and Remote Sensing.

    [15] Detecting subsurface phytoplankton layer in Qiandao Lake using shipborne lidar.Chen Cheng Zhihua Mao 2020. Optics Express.

    [16] Integrating Multiple Datasets and Machine Learning Algorithms for Satellite-Based Bathymetry in Seaports. Zhongqiang Wu Zhihua Mao 2021. Remote Sensing.

    [17] Seasonal Cycles of Phytoplankton Expressed by Sine Equations Using the Daily Climatology from Satellite-Retrieved Chlorophyll-a Concentration (1997–2019) Over Global Ocean. Zexi Mao Zhihua Mao 2020. Remote Sensing.

    [18] Satellite Evidence of Upper Ocean Responses to Cyclone Nilofar. Syed Abid Ali Zhihua Mao 2020. Atmosphere-Ocean.

    [19] Semi-analytical approach to retrieve the chromophoric dissolved organic matter absorption coefficient in non-turbid waters: preliminary application to Medium Resolution Imaging Spectrometer (MERIS) data. Liangliang Shi Zhihua Mao 2021. Marine and Freshwater Research.

    [20] Potential of spaceborne Brillouin scattering lidar for global ocean optical profiling. DaPeng Yuan,Peng Chen Zhihua Mao 2021. Optics Express.

    [21] Development of laser fluorometer system for CDOM measurements. Peng Chen Zhihua Mao 2018. Infrared and Laser engineering.

    [22] Effects of rainstorm on the spectral absorption properties of chromophoric dissolved organic matter and particles in Lake Qiandao. Liangliang Shi Zhihua Mao 2018. Hupo Kexue.

    [23] Research on Remote Sensing Inversion of Shallow Water Depth Based on Extreme Learning Machine. Zhongqiang Wu Zhihua Mao 2019.Hydrographic Surveying and Charting. 

    [24] Polarization Characteristics of Ultraviolet Bands Observed by Ocean Color Satellites. Yiwei Zhang, Bangyi Tao Zhihua Mao 2020. ACTA OPTICA SINICA.

    [25] Research progress in the influence of global change on phytoplankton blooms of the South China Sea. Zheng Wang Zhihua Mao 2017. Environmental Pollution & Control.


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