Research on Atmospheric Path Radiation Remote Sensing Image and Urban Atmospheric Pollution Monitoring
大气程辐射遥感图像与城市大气污染监测研究

The state of the atmospheric environment is related to the values of atmospheric path radiation in remote sensingdata. As an mi portant information resource, an atmospheric path radiation mi age derived from remotely sensed data can be used in many research fields. These include the research in the transmission properties of the atmosphere, the atmosphericmodification of remote sensing mi age, the study ofboth regional and urban atmospheric environment, and the monitoring of the atmospheric environmental qualities. The remote sensing data collected by earth observation technology includes predominantly ground information and weak atmospheric information. The atmospheric path radiation remote sensing mi age which includes atmospheric information can be generated by separating the weak atmospheric signals from the strong ground returns in the remote sensing data. The key restriction on atmospheric environmental remote sensing lies both on the above process and extracting atmospheric information from the remote sensing data. Therefore, it is mi portant to derive the data of quantitative atmospheric environmentalpollution and precise atmosphericmodification ofthe remotely sensed digital mi age. Aftermany years ofprevious research, a scheme of generating the mi age of atmospheric path radiation by computing the value of atmospheric path radiation of each pixelusing land reflectance is demonstrated in this paper. The principle and methodology for generating the heterogeneous atmospheric path radiation mi age are based on known surface reflectance. The atmospheric path radiation remote sensing mi agewith differentwaveband from multi-spectral orhyper-spectral remote sensing mi age canmonitorurban atmospheric pollutionwith different type and degree (size and contentofaerosol) without ground interference. In thispaper, the research ofurban atmospheric pollutionmonitoring isdeveloped from ShanghaiCity as a demonstration, with using the atmospheric path radiation remote sensing mi ages from MODISmulti-spectral remote sensing mi age, based on the atmospheric pollution observational data (PM10thickness). Using fuzzy neuralnetworkmethod, the input neuron altogether includesMODIS atmospheric path radiation remote sensing mi ages (4wave bands), the traffic density mi ages, and theNDVIgrid mi ages. The output is the single neuron of the synthetic evaluation classification mi ages of atmospheric environmentquality, and the networkmembership function is Gaussian function and sigmoid excitation function. According to the synthetic evaluation classification mi ages, Shanghai atmospheric environmentquality is basically the first and the second standard classification. In 6 day-long research tmi e intervals, the atmospheric environmentquality spatial and temporal pattern has changed obviously. On 3rd, 9th and on 10th the atmospheric environment quality are the second level ofmajorities, and on13th themass of atmosphere quality achieved the highest level standard, on 21~