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

fYear

2013

fDate

21-26 July 2013

Firstpage

2242

Lastpage

2245

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6723263

Filename

6723263