Title :
Real-time retrieval of dust emissions over the UAE desert from seviri thermal bands
Author :
Al Meqbali, Nada ; Marpu, Prashanth R. ; Al Hashemi, Rahma ; Ghedira, Hosni
Author_Institution :
Res. Center for Renewable Energy Mapping & Assessment, Masdar Inst. of Sci. & Technol., Abu Dhabi, United Arab Emirates
Abstract :
The United Arab Emirates (UAE) lies on the eastern coast of the Arabian Peninsula where desert occupies 80 percent of its land making it a major source of dust aerosols throughout the year. In this paper, a neural-network-based model was developed to estimate AERONET Aerosol Optical Thickness (AOT) over desert as dust indicator from SEVIRI sensor onboard of Meteosat satellite. The developed model is then implemented in a real-time monitoring tool to visualize dust coverage and density over the UAE.
Keywords :
aerosols; atmospheric optics; atmospheric techniques; data visualisation; dust; neural nets; remote sensing; AERONET Aerosol Optical Thickness estimation; AOT estimation; Arabian Peninsula; Meteosat satellite; SEVIRI sensor; SEVIRI thermal bands; UAE desert; United Arab Emirates; dust aerosol source; dust coverage visualization; dust density; dust indicator; neural-network-based model; real-time dust emission retrieval; real-time monitoring tool; Abstracts; Area measurement; Data models; Image resolution; MODIS; Minerals; Time measurement; AERONET; Dust; SEVIRI; UAE;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723263
