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Long-term analysis of snow-covered area in the Moroccan High-Atlas through remote sensing

机译:摩洛哥高图集积雪地区的遥感长期分析

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摘要

The High-Atlas mountainous region in Morocco is a true water tower for the neighbouring arid plains, where the water resources are intensively and increasingly subjected to exploitation for agriculture and tourism. In order to manage this resource sustainably, it is necessary to describe accurately all the processes that contribute to the hydrological cycle of the area, and, in particular, to know the respective contributions of liquid and solid precipitations to runoff. In this context, a seven-year time series of SPOT-VEGETATION images is used for mapping snow-covered areas. The spatial and temporal variations of the snow cover are analyzed for the entire High-Atlas region as well as by altitudinal zones. The spatial distribution of snow-covered areas appears logically controlled by elevation, and its temporal fluctuations can be clearly used to identify dry and wet seasons. In addition, a possible control of snowfalls by the Northern Atlantic climate variability, and, in particular, the North Atlantic Oscillation, is highlighted. Finally, this study shows how satellite remote sensing can be useful for the long-term observation of the intra- and inter-annual variability of snowpacks in rather inaccessible regions where the network of meteorological stations is deficient.
机译:摩洛哥的高阿特拉斯山脉地区是毗邻干旱平原的真正水塔,那里的水资源密集并且越来越多地被农业和旅游业所利用。为了可持续地管理该资源,有必要准确地描述有助于该地区水文循环的所有过程,尤其是要了解液态和固态降水对径流的贡献。在这种情况下,SPOT-VEGETATION图像的七年时间序列用于绘制积雪覆盖的区域。整个High-Atlas地区以及海拔区域都分析了积雪的时空变化。冰雪覆盖地区的空间分布似乎在逻辑上受海拔控制,并且其时间波动可以清楚地用于识别干旱和潮湿季节。另外,强调了通过北大西洋的气候变化,尤其是北大西洋的涛动可能控制降雪。最后,这项研究表明,在气象站网络不足的,人迹罕至的地区,卫星遥感如何可用于长期观测积雪的年内和年际变化。

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