地理信息科学系

姓名：王大康   

性别：男    

出生年月：1989年8月

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

王大康，博士，讲师。2020年6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。

• 大气环境遥感与生态水文定量遥

• 2010.09－2014.06，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

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

【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）