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Analysis and Predictability of Drought In Northwest Africa Using Optical and Microwave Satellite Remote Sensing Products

机译:利用光学和微波卫星遥感产品对西北非洲的干旱进行分析和可预测性

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摘要

In a context of high stress on water resources and agricultural production at the global level, together with climate change marked by an increase in the frequency of these events, drought is considered to be a strong threat both socially and economically. The Mediterranean region is a hot spot of climate change; it is also characterized by a scarcity of water resources that places intense pressure on agricultural productivity. This article analyzes the potential for using multiple remote sensing tools in the quantification and predictability of drought in Northwest Africa. Three satellite products are considered: the Normalized Difference Vegetation Index (NDVI), Soil Moisture Index (SWI), and Land Surface Temperature (LST). A discussion of the variability of these products and their inter-correlation is presented, illustrating a generally high consistency between them. Statistical anomaly indices are then computed and a drought severity mapping is presented. The results illustrate in particular a high percentage of dry conditions in the region studied during the last ten years (2007–2017). Finally, we propose the use of the analog statistical approach to identify similar evolutions of the three variables in the past. Although this technique is not a forecast, it provides a strong indication of the plausible future trajectory of a given hydrological season.
机译:在全球范围内对水资源和农业生产的巨大压力以及气候变化以这些事件发生频率增加为特征的情况下,干旱被认为是社会和经济上的严重威胁。地中海地区是气候变化的热点。它还具有水资源短缺的特点,这给农业生产力带来了巨大压力。本文分析了在西北非洲干旱的定量和可预测性中使用多种遥感工具的潜力。考虑了三种卫星产品:归一化植被指数(NDVI),土壤水分指数(SWI)和地表温度(LST)。讨论了这些产品的可变性及其相互关系,说明了它们之间通常的高度一致性。然后计算统计异常指数,并给出干旱严重度图。结果特别表明,在过去十年(2007-2017年)研究的该地区,干旱状况的百分比很高。最后,我们建议使用模拟统计方法来确定过去三个变量的相似演变。尽管该技术不是一种预测,但它可以很好地表明给定水文季节未来可能的轨迹。

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