Investigating of Correlation between MODIS Satellite Data and Ground Data Related to Aerosols and Modeling Aerosols Using Neural Networks over Shiraz

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 260-261)
• Pages: 926-929
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.260-261.926
• Online since: December 2012
• Authors: Ali Reza Dehghani, Ali Akbar Safavi, Mohammad Jafar Nazemossadat, Seyed Mohammad Hessam Mohammadi
• Keywords: Aerosols, Modeling, MODIS, Neural Network (NN), Pollution Monitoring, Shiraz

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