research-article

Developing a hybrid system for sand and dust storm detection using satellite imaging and WSNs

Authors:

Muhammad Akhlaq,

Tarek R. Sheltami,

Elhadi M. ShakshukiAuthors Info & Claims

IIWAS '12: Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services

Pages 9 - 15

https://doi.org/10.1145/2428736.2428744

Published: 03 December 2012 Publication History

Abstract

Sand and dust storms (SDSs) offer very serious hazards to the environment, economy and health. An early warning of the upcoming SDS would allow people to take precautionary measures. Traditionally, satellite imaging is used to detect large-scale and long-term SDSs. However, small-scale and short-term SDSs may go undetected due to the poor spatial and temporal resolution of satellites. We propose a hybrid design of sand and dust storm detection system (SDSDS) using wireless sensor network (WSN) and satellite imaging in order to detect SDSs of all types. A layered architecture of context-aware system is used. While the WSN provides real time data from the area of interest, near-real time METEOSAT MSG images are obtained from their website. An experimental prototype is developed for evaluation of the proposed system. Performance studies show that such a hybrid approach can effectively detect and predict SDSs of all types.

References

[1]

Akhlaq, M., Sheltami, T. R. and Mouftah, H. T. 2012. A review of techniques and technologies for sand and dust storm detection. Reviews in Environmental Science and Biotechnology. 11, 3 (2012), 305--322.

[2]

Al Suwaidi, A., Al Rais, A. and Ghedira, H. 2010. Developing a satellite-based tool to monitor dust and sand storms in the UAE. IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (Honolulu, HI, 2010), 1434--1437.

[3]

Chavez Jr, P. S., Mackinnon, D. J., Reynolds, R. L. and Velasco, M. 2002. Monitoring dust storms and mapping landscape vulnerability to wind erosion using satellite and ground-based digital images. Geomorphology. 51, (2002), 1--8.

[4]

Cordova-Lopez, L. E., Mason, A., Cullen, J. D., Shaw, A. and Al-Shamma'a, A. I. 2007. Online vehicle and atmospheric pollution monitoring using GIS and wireless sensor networks. Journal of Physics: Conference Series (2007), 012019.

[5]

El-Askary, H., Gautam, R., Singh, R. P. and Kafatos, M. 2006. Dust storms detection over the Indo-Gangetic basin using multi sensor data. Advances in Space Research. 37, 4 (2006), 728--733.

[6]

Gao, T. and Han, J. 2010. Evolutionary characteristics of the atmospheric circulations for frequent and infrequent dust storm springs in northern China and the detection of potential future seasonal forecast signals. Meteorological Applications. 17, 1 (2010), 76--87.

[7]

Ghedira, H., Al Rais, A. and Al Suwaidi, A. 2009. Developing a new automated tool for detecting and monitoring dust and sand storms using MODIS and meteosat SEVIRI-MSG data. IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (Cape Town, Jul. 2009), IV-905--IV-908.

[8]

Hsu, N. C., Tsay, S. C., King, M. D. and Herman, J. R. 2004. Aerosol properties over bright-reflecting source regions. IEEE Transactions on Geoscience and Remote Sensing. 42, 3 (2004), 557--569.

[9]

Huang, J., Ge, J. and Weng, F. 2007. Detection of Asia dust storms using multisensor satellite measurements. Remote Sensing of Environment. 110, 2 (2007), 186--191.

[10]

Kaskaoutis, D. G., Kambezidis, H. D., Nastos, P. T. and Kosmopoulos, P. G. 2008. Study on an intense dust storm over Greece. Atmospheric Environment. 42, 29 (2008), 6884--6896.

[11]

Kaskaoutis, D. G., Kosmopoulos, P. G., Nastos, P. T., Kambezidis, H. D., Sharma, M. and Mehdi, W. 2011. Transport pathways of Sahara dust over Athens, Greece as detected by MODIS and TOMS. Geomatics, Natural Hazards and Risk. 3, 1 (2011), 35--54.

[12]

Ke, C. H., Lin, C. H., Shieh, C. K. and Hwang, W. S. 2006. A novel realistic simulation tool for video transmission over wireless network. Sensor Networks, Ubiquitous, and Trustworthy Computing, 2006. IEEE International Conference on (2006), 7--pp.

Digital Library

[13]

Lim, J. Y. and Chun, Y. 2006. The characteristics of Asian dust events in Northeast Asia during the springtime from 1993 to 2004. Global and Planetary Change. 52, 1--4 (2006), 231--247.

[14]

Meteosat 0 degree Dust Eastern Africa: http://oiswww.eumetsat.org/IPPS/html/MSG/RGB/DUST/EASTERNAFRICA/. Accessed: 2012-01-27.

[15]

Rashki, A., Kaskaoutis, D., Rautenbach, C., Eriksson, P., Qiang, M. and Gupta, P. 2012. Dust storms and their horizontal dust loading in the Sistan region, Iran. Aeolian Research. (2012).

[16]

San-chao, L., Qinhuo, L., Maofang, G. and Liangfu, C. 2006. Detection of Dust Storms by Using Daytime and Nighttime Multi-spectral MODIS Images. Proceedings of the IEEE International Conference on Geoscience and Remote Sensing Symposium (IGARSS) (2006), 294--296.

[17]

Shao, Y. 2008. Physics and Modelling of Wind Erosion. Springer.

[18]

Tsolmon, R., Ochirkhuyag, L. and Sternberg, T. 2008. Monitoring the source of trans-national dust storms in north east Asia. International Journal of Digital Earth. 1, 1 (2008), 119--129.

[19]

Wang, P., Sun, Z., Vuran, M. C., Al-Rodhaan, M. A., Al-Dhelaan, A. M. and Akyildiz, I. F. 2011. On network connectivity of wireless sensor networks for sandstorm monitoring. Computer Networks. 55, 5 (2011), 1150--1157.

Digital Library

[20]

Zeng, Q., Cheng, X., Hu, F. and Peng, Z. 2010. Gustiness and coherent structure of strong winds and their role in dust emission and entrainment. Advances in Atmospheric Sciences. 27, 1 (2010), 1--13.

[21]

Zhang, P., Lu, N., Hu, X. and Dong, C. 2006. Identification and physical retrieval of dust storm using three MODIS thermal IR channels. Global and Planetary Change. 52, 1--4 (2006), 197--206.

Cited By

Clark TStrong C(2024)Developing an Australian dust early warning systemAustralian Journal of Emergency Management10.47389/39.1.1310.47389/39:No 1(13-22)Online publication date: 31-Jan-2024
https://doi.org/10.47389/39.1.13
Jiao PWang JChen XRuan JYe XAlavi A(2021)Next-generation remote sensing and prediction of sand and dust storms: State-of-the-art and future trendsInternational Journal of Remote Sensing10.1080/01431161.2021.191243342:14(5281-5320)Online publication date: 2-May-2021
https://doi.org/10.1080/01431161.2021.1912433
Aldeer M(2013)A summary survey on recent applications of wireless sensor networks2013 IEEE Student Conference on Research and Developement10.1109/SCOReD.2013.7002637(485-490)Online publication date: Dec-2013
https://doi.org/10.1109/SCOReD.2013.7002637

Index Terms

Developing a hybrid system for sand and dust storm detection using satellite imaging and WSNs
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles
        Organizing principles for web applications

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cover image ACM Other conferences

IIWAS '12: Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services

December 2012

432 pages

ISBN:9781450313063

DOI:10.1145/2428736

General Chair:
Eric Pardede
La Trobe University, Australia

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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@WAS: International Organization of Information Integration and Web-based Applications and Services

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 December 2012

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King Fahd University of Petroleum and Minerals

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IIWAS '12

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@WAS

IIWAS '12: The 14th International Conference on Information Integration and Web-based Applications & Services

December 3 - 5, 2012

Bali, Indonesia

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Cited By

Clark TStrong C(2024)Developing an Australian dust early warning systemAustralian Journal of Emergency Management10.47389/39.1.1310.47389/39:No 1(13-22)Online publication date: 31-Jan-2024
https://doi.org/10.47389/39.1.13
Jiao PWang JChen XRuan JYe XAlavi A(2021)Next-generation remote sensing and prediction of sand and dust storms: State-of-the-art and future trendsInternational Journal of Remote Sensing10.1080/01431161.2021.191243342:14(5281-5320)Online publication date: 2-May-2021
https://doi.org/10.1080/01431161.2021.1912433
Aldeer M(2013)A summary survey on recent applications of wireless sensor networks2013 IEEE Student Conference on Research and Developement10.1109/SCOReD.2013.7002637(485-490)Online publication date: Dec-2013
https://doi.org/10.1109/SCOReD.2013.7002637

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