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Global dust Detection Index (GDDI); a new remotely sensed methodology for dust storms detection

机译：全球粉尘检测指数（GDDI）；沙尘暴检测的新遥感方法

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摘要

Dust storm occurs frequently in arid and semi-arid areas of the world. This natural phenomenon, which is the result of stormy winds, raises a lot of dust from desert surfaces and decreases visibility to less than 1 km. In recent years the temporal frequency of occurrences and their spatial extents has been dramatically increased. West of Iran, especially in spring and summer, suffers from significant increases of these events which cause several social and economic problems. Detecting and recognizing the extent of dust storms is very important issue in designing warning systems, management and decreasing the risk of this phenomenon. As the process of monitoring and prediction are related to detection of this phenomenon and it's separation from other atmospheric phenomena such as cloud, so the main aim of this research is establishing an automated process for detection of dust masses. In this study 20 events of dust happened in western part of Iran during 2000–2011 have been recognized and studied. To the aim of detecting dust events we used satellite images of MODIS sensor. Finally a model based on reflectance and thermal infrared bands has been developed. The efficiency of this method has been checked using dust events. Results show that the model has a good performance in all cases. It also has the ability and robustness to be used in any dust storm forecasting and warning system.
机译：沙尘暴经常发生在世界干旱和半干旱地区。这种自然现象是暴风雨的结果，使沙漠表面的灰尘增多，可见度降至1公里以下。近年来，发生的时间频率及其空间范围已大大增加。伊朗西部，尤其是在春季和夏季，遭受这些事件的严重增加，从而造成了一些社会和经济问题。检测和识别沙尘暴的范围是设计预警系统，管理和降低这种现象风险的非常重要的问题。由于监测和预测过程与这种现象的检测有关，并且与其他大气现象（如云）是分离的，因此，本研究的主要目的是建立一种自动检测尘埃的过程。在这项研究中，已经认识和研究了2000-2011年伊朗西部发生的20起粉尘事件。为了检测灰尘事件，我们使用了MODIS传感器的卫星图像。最后，建立了基于反射率和热红外波段的模型。已使用灰尘事件检查了此方法的效率。结果表明，该模型在所有情况下均具有良好的性能。它还具有在任何沙尘暴预报和预警系统中使用的能力和鲁棒性。

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