Loading...
Detection of Dust Storms Using MODIS Reflective and Emissive Bands
El-Ossta, Esam E.A. Qahwaji, Rami S.R. Ipson, Stanley S.
El-Ossta, Esam E.A.
Qahwaji, Rami S.R.
Ipson, Stanley S.
Publication Date
2013-05-02
End of Embargo
Supervisor
Rights
© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Peer-Reviewed
Yes
Open Access status
Accepted for publication
2013-02-07
Institution
Department
Awarded
Embargo end date
Additional title
Abstract
Dust storms are one of the natural phenomena, which
have increased in frequency in recent years in North Africa, Australia
and northern China. Satellite remote sensing is the common
method for monitoring dust storms but its use for identifying dust
storms over sandy ground is still limited as the two share similar
characteristics. In this study, an artificial neural network (ANN)
is used to detect dust storm using 46 sets of data acquired between
2001 and 2010 over North Africa by the Moderate Resolution
Imaging Spectroradiometer (MODIS) instruments aboard the
Terra and Aqua satellites. The ANN uses image data generated
from Brightness Temperature Difference (BTD) between bands
23 and 31 and BTD between bands 31 and 32 with three bands
1, 3, and 4, to classify individual pixels on the basis of their
multiple-band values. In comparison with the manually detection
of dust storms, the ANN approach gave better result than the
Thermal Infrared Integrated Dust Index approach for dust storms
detection over the Sahara. The trained ANN using data from the
Sahara desert gave an accuracy of 0.88 when tested on data from
the Gobi desert and managed to detect 90 out of the 96 dust storm
events captured worldwide by Terra and Aqua satellites in 2011
that were classified as dusty images on NASA Earth Observatory.
Version
Accepted Manuscript
Citation
El-Ossta E, Qahwaji RSR and Ipson SS (2013) Detection of dust storms using MODIS
reflective and emissive bands. IEEE Journal of Selected Topics in Applied Earth Observations and
Remote Sensing. 6(6): 1939-1404.
Link to publisher’s version
Link to published version
Link to Version of Record
Type
Article