NDLI: Combing MSG thermal channels with meteorological data for fog forecasting and mapping over desert areas in the UAE

Content Provider	IEEE Xplore Digital Library
Author	Bushahab, A.H. Ghedira, H. Mubarak, K. Al-Ahmad, H. Dawood, A.
Copyright Year	2010
Description	Author affiliation: Water and Environmental Engineering, MASDAR Institute/MIT, USA (Ghedira, H.) \|\| Communication Engineering, KUSTAR, Sharjah, UAE (Mubarak, K.; Al-Ahmad, H.; Dawood, A.) \|\| DubaiSat-1 Program, Emirates Institution for Advanced Science & Technology (EIAST), Dubai, UAE (Bushahab, A.H.)
Abstract	Satellite remote sensing is an important tool in the detection and short range forecasting (nowcasting) of fog events. Fog over land develops primarily during the late-night and pre-dawn hours, infrared remote sensing is indispensable in observing fog formation at night, while visible imagery helps to monitor the extent and density of fog after sunrise. Satellite remote sensing is widely used in the United States and Europe in detecting and nowcasting fog events. The temperature difference between two infrared bands (11 µm and 4 µm), available in geostationary satellites, forms the basis for fog detection and classification [1]. In this study an algorithm for now-casting, detecting and monitoring fog events in the United Arab Emirates was developed. The major approach is based on developing a neural-networks system in MATLAB, mainly using METEOSAT SEVIRI data and local meteorological data. The final developed tool is named UAE-FAD (Fog Automatic Detector) and will provide real-time information for further research and development as well as for public and civil services.
Starting Page	3530
Ending Page	3533
File Size	456883
Page Count	4
File Format	PDF
ISBN	9781424495658
ISSN	21537003
e-ISBN	9781424495665
e-ISBN	9781424495641
DOI	10.1109/IGARSS.2010.5652447
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Meteorology Satellites Pixel Clouds Thermal analysis Forecasting nowcasting UAE remote sensing fog METEOSAT SEVIRI UAE-FAD
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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