Investigating of Correlation between MODIS Satellite Data and Ground Data Related to Aerosols and Modeling Aerosols Using Neural Networks over Shiraz
作者单位：School of E.Learning instrumentation and automation Shiraz University School of Electrical and Computer Engineering Shiraz University School of Agriculture Shiraz University School of E. Learning instrumentation and automation Shiraz University
会议名称：《2012 Asian Pacific Conference on Energy,Environment and Sustainable Development(APEESD 2012)》
会议日期：2012年
学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 07[理学] 08[工学] 070602[理学-大气物理学与大气环境] 0706[理学-大气科学] 0713[理学-生态学]
关 键 词：Aerosols Pollution Monitoring Modeling Neural Network Shiraz MODIS
摘 要：This paper presents an investigation of satellite data and ground data about aerosols and then modelsthe mentioned data over Shiraz using artificial neural networks. MODIS satellite data are available on 36 various frequency bands. In this study, a good correlation between ground data and the 10 first satellite image bands is being shown. Specially, the best correlation was found in band number 8. Therefore, using neural networks and ground data along with satellite information, a model of aerosols is constructed. In the mentioned model, satellite data of band 8 and ground data are used as network input and output, respectively. The results show the effectiveness of the proposed model.