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Article

North Africa and Saudi Arabia Day/Night Sandstorm Survey (NASCube)

1
CNRS, UMR 8518-LOA-Laboratoire d’Optique Atmosphérique, University Lille, F-59000 Lille, France
2
ONERA, The French Aerospace Lab, 2 Avenue Edouard Belin, 31055 Toulouse, France
*
Author to whom correspondence should be addressed.
Remote Sens. 2017, 9(9), 896; https://doi.org/10.3390/rs9090896
Received: 7 July 2017 / Revised: 12 August 2017 / Accepted: 25 August 2017 / Published: 30 August 2017
(This article belongs to the Special Issue Aerosol Remote Sensing)
The Meteosat Second Generation (MSG) geostationary platform equipped with the Spinning Enhanced Visible and Infrared Imager (SEVIRI) instrument provides observations of the Earth every 15 min since 2004. Based on those measurements, we present a new method called North African Sandstorm Survey (NASCube) to: (i) generate day/night remote sensing images in order to detect sandstorms over the Sahara and Saudi Arabia; and (ii) estimate day and night aerosol optical depth (AOD). This paper presents a method to create true color day and night images from the SEVIRI instrument level 1.5 products and the complete operational data processing system to detect sandstorms and quantify the AOD over the desert areas of North Africa and Saudi Arabia. The designed retrieval algorithms are essentially based on the use of artificial neural networks (ANN), which seems to be well suited to this issue. Our methods are validated against two different datasets, namely the Deep Blue NASA moderate-resolution imaging spectroradiometer (MODIS) product and AErosol RObotic NETwork (AERONET) acquisitions located in desert areas. It is shown that NASCube products deliver better estimations for high AOD (>0.2) over land areas than Deep Blue products. The open-public web platform will help researchers to identify, quantify and retrieve the impact of sandstorms over desert regions. View Full-Text
Keywords: SEVIRI; sandstorm; day and night AOD retrieval; North Africa; Saudi Arabia SEVIRI; sandstorm; day and night AOD retrieval; North Africa; Saudi Arabia
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MDPI and ACS Style

Gonzalez, L.; Briottet, X. North Africa and Saudi Arabia Day/Night Sandstorm Survey (NASCube). Remote Sens. 2017, 9, 896. https://doi.org/10.3390/rs9090896

AMA Style

Gonzalez L, Briottet X. North Africa and Saudi Arabia Day/Night Sandstorm Survey (NASCube). Remote Sensing. 2017; 9(9):896. https://doi.org/10.3390/rs9090896

Chicago/Turabian Style

Gonzalez, Louis; Briottet, Xavier. 2017. "North Africa and Saudi Arabia Day/Night Sandstorm Survey (NASCube)" Remote Sens. 9, no. 9: 896. https://doi.org/10.3390/rs9090896

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