基于静止卫星GOCI数据的陆地上空气溶胶光学厚度遥感反演

Retrieving Aerosol Optical Depth Over Land based on GOCI Data Onboard Geostationary Satellite

以长江三角洲地区为研究区,基于2013年共72d的晴空GOCI数据,利用深蓝算法进行了研究区上空气溶胶光学厚度的遥感反演研究,并利用两个实测站点数据进行了验证。结果表明:GOCI数据可以用于陆地气溶胶的反演,两个站点均呈现较高的拟合精度,南京信息工程大学北辰楼站拟合度为0.659,AERONET太湖站拟合度为0.747,与MODIS气溶胶产品相比也表现出很好的一致性。同时,研究发现基于静止卫星GOCI数据的气溶胶产品具有监测气溶胶日内变化的能力,为气溶胶的动态扩散和气候效应研究等提供参考和借鉴。

The aerosol optical depth were retrieved using deep-blue algorithm based on the G（）CI data of 72 clear-sky days in 2013 over the Yangtze River Delta,and then were validated by field data from two meas ured sites.The results show that the GOCI data can be used for inversion of land aerosols,and both sites show high accuracy.The fitting degree of Beichenlou station of Nanjing University of Information Science and Technology is 0.659, and that of AERONET station is 0.747, which shows good agreement compared with MODIS aerosol products.At the same time,it is found that the aerosol products based on the GOCI data of the stationary satellite have the ability to monitor the diurnal variation of aerosol and provide the basis for the aerosol dynamic diffusion and the climate effect study.