| Dust Storm Detection using MODIS Data over the Middle East |
| Paper ID : 1190-SMPR |
| Authors: |
|
Arash zandkarimi *1, Parviz Fatehi2 1Department of Remote Sensing, Tabriz University, Tabriz, Iran. 2Assistant Prof., Forestry and Forest Economics, Faculty of Natural Resources, University of Tehran, Karaj, Iran |
| Abstract: |
| Dust storms are one of the common phenomena in the arid and semi-arid regions which cause many economic and environmental losses also affects human health. Therefore, it is necessary to be able to detect dust storms. Several technologies exist for dust monitoring, such as Ground-based measurements, satellite remote sensing, video surveillance, wireless sensors. Remote sensing technology provides wide coverage, high temporal and spectral also near real-time data, which can prepare a valuable data source for dust storm monitoring. We used an algorithm based on Moderate Resolution Imaging Spectroradiometer (MODIS) images for detecting dust storm in the Middle East; The proposed algorithm uses the brightness temperature in multi-band. The performance of the algorithm was evaluated using the ground-based observations of synoptic stations. The results showed that by applying the algorithm, the dust area can be clearly separated, especially in the regions that cloud is mixed with dust and the overall accuracy is ~78%. |
| Keywords: |
| Detection, Dust, MODIS, Remote sensing, Evaluation, Middle East |
| Status : Conditional Accept (Poster) |
