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PM2.5与PM10的时空分布特征及其相关性是大气颗粒物研究的主要内容，传统方法是基于监测站点数据进行分析，难以揭示PM2.5与PM10时空分布的区域特征.为此，本文利用地理加权回归模型估算了2016年新疆地区PM2.5与PM10的月均浓度，在此基础上对区域尺度的PM2.5与PM10浓度特征进行分析.结果表明：地理加权回归相较最小二乘回归的拟合精度更高，PM2.5和PM10的决定系数分别为0.93...
ESTIMATING HOURLY PM2.5 CONCENTRATIONS FROM HIMAWARI-8 AOD OVER HUBEI PROVINCE
Himawari-8 Hourly AOD Hourly PM2.5 Wind Hubei Province Observation Frequency
2018/11/9
Satellite remote sensing can effectively estimate the particulate matter on a large scale. Polar-orbiting satellites have limited frequency of observations, which cannot help us understand PM2.5 evolu...
Spectral Variations of AOD and Its Validation Using MODIS: First Cut Results from Kannur, India
Aerosol MICROTOP MODIS Meteorological Parameters Kannur
2013/2/26
The properties of aerosols present in the atmosphere are often influenced by the environment in which they are being disbursed. Subsequently, the variation in the environmental conditions may severely...
Applications of Satellite Data for Aerosol Optical Depth (AOD) Retrievals and Validation with AERONET Data
Aerosol Optical Depth MODIS Data Urban Area
2013/2/26
An understanding of the amount and type of aerosols present in the atmosphere is required for the atmospheric correction of satellite imagery. A sensitivity analysis of the atmospheric inputs to the M...