地理信息科学系

 

     基本信息

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姓名:王大康   

性别:男    

出生年月:19898

职务/职称:讲师

邮箱:wangdk@gzhu.edu.cn

通讯地址:广州市大学城外环西路230号银河官网7163

 

 

     个人简介

王大康,博士,讲师。20206月毕业于中国科学院空天信息创新研究院,获信号与信息处理专业工学博士学位。从事大气环境遥感及生态水文定量遥感研究,围绕大气痕量气体(如甲醛、臭氧等)污染监测,开展痕量气体时空分布与演变,卫星遥感监测痕量气体算法开发与应用方面的研究。围绕地表蒸散量监测,开展气象模式与地表能量平衡系统的耦合与同化研究。主持中国博士后科学基金1项,参与高分重大专项、国家自然科学基金及国家重点研发计划项目课题,发表学术论文18篇,申请专利1项,申获软件著作权2项。

     研究方向      

  • 大气环境遥感与生态水文定量遥

     教育与工作经历        

  • 2010.092014.06,华北科技学院地质工程专业,获工学学士学位

  • 2014.09-2017.06,中国地质大学(北京),获理学硕士学位

  • 2017.09-2020.06,中国科学院空天信息创新研究院,或工学博士学位

  • 2020.08-2023.01,南方科技大学环境科学与工程学院,博士后

  • 2023.02至今,银河官网7163,讲师

     科研项目        

  1. 2021.11-2023.1,中国博士后科学基金第70批面上资助(2021M701555基于国产高分五号卫星的高分辨率甲醛遥感产品关键技术研发,经费8万,主持

  2. 2021.1-2024.12,国家自然科学基金面上项目(42071409主被动遥感在黑碳气溶胶反演与排放校验中的方法研究,经费55万,参加

  3. 国家重大专项:空间基础设施共性应用支撑平台(2017-2020),参加

  4. 高分重大专项子课题:城乡一体化发展格局、资源环境承载力评价等多类遥感要素快速提取与监测技术(2017-2018),参加

  5. 高分专项项目:高分地球表层系统科学研究应用示范系统(2014-2016),参加

     代表性论著专利

【论文】

  1. Wang, D., et al., Estimating Daily Actual Evapotranspiration at a Landsat-Like Scale Utilizing Simulated and Remote Sensing Surface Temperature. Remote Sensing, 2021. 13(2): p. 225.

  2. Wang, D., et al., A Method of Using WRF-Simulated Surface Temperature to Estimate Daily Evapotranspiration. Journal of Applied Meteorology and Climatology, 2020. 59(5): p. 901-914.

  3. Wang, D., et al., Improving Meteorological Input for Surface Energy Balance System Utilizing Mesoscale Weather Research and Forecasting Model for Estimating Daily Actual Evapotranspiration. Water, 2019. 12(1): p. 9.

  4. Shu, L., et al., Improved ozone simulation in East Asia via assimilating observations from the first geostationary air-quality monitoring satellite: Insights from an Observing System Simulation Experiment. Atmospheric Environment, 2022. 274: p. 119003.

  5. Pu, D., et al., Response of Anthropogenic Volatile Organic Compound Emissions to Urbanization in Asia Probed With TROPOMI and VIIRS Satellite Observations. Geophysical Research Letters, 2022. 49(18): p. e2022GL099470.

  6. Liu, Q., et al. Soil Moisture Content Retrieval from Remote Sensing Data by Artificial Neural Network Based on Sample Optimization. Sensors, 2022. 22, DOI: 10.3390/s22041611.

  7. Chen, X., et al. The Impact of Central Heating on the Urban Thermal Environment Based on Multi-Temporal Remote Sensing Images. Remote Sensing, 2022. 14, DOI: 10.3390/rs14102327.

  8. Chen, X., et al., Impacts of inter-annual cropland changes on land surface temperature based on multi-temporal thermal infrared images. Infrared Physics & Technology, 2022. 122: p. 104081.

  9. Sun, W., et al., Global Significant Changes in Formaldehyde (HCHO) Columns Observed From Space at the Early Stage of the COVID-19 Pandemic. Geophysical Research Letters, 2021. 48(4): p. 2e020GL091265.

  10. Mumtaz, F., et al., Impacts of reduced deposition of atmospheric nitrogen on coastal marine eco-system during substantial shift in human activities in the twenty-first century. Geomatics, Natural Hazards and Risk, 2021. 12(1): p. 2023-2047.

  11. Mumtaz, F., et al. Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST). Remote Sensing, 2020. 12, DOI: 10.3390/rs12182987.

  12. Chen, X., et al. Improving the Classification Accuracy of Annual Crops Using Time Series of Temperature and Vegetation Indices. Remote Sensing, 2020. 12, DOI: 10.3390/rs12193202.

  13. Ren, et al., Identifying ginkgo trees using spectrum and texture time series from very high resolution satellite data. Journal of Applied Remote Sensing, 2018. 12(2).

【软件/专利】

  • 朱雷,王大康,张馨. 卫星二级像元过采样软件(V1.0)(登记号:2022SR0598478

  • 王大康,朱雷,张馨. 卫星二级像元过采样软件(V2.0)(登记号:2022SR0942797


     获奖情况        

  • 中国科学院大学三好员工,2018

  • 中国科学院大学三好员工2017

  • 河北省省级优秀毕业生,2014

  • 中矿龙科励志奖学金一等奖,2012

  • 国家励志奖学金,2011

 

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