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Analysis of Desert Sand Dune Migration Patterns from Landsat Image Time Series for The Southern California Desert

机译:从南加州沙漠​​的Landsat影像时间序列分析沙漠沙丘迁移模式

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Developers of renewable energy installations in southern California need to evaluate the risks to facility operations from proximity to active desert dunes. This study first validated Landsat image spectral data using ground-based data collection of aeolian sand migration rate measurements surveyed in Arizona as an accurate method for characterizing dune mobility. The predominant direction of measured sand dune movements was correctly mapped at this site from the satellite imagery, as well as the migration distances of the leading edges of sand dunes over the entire 1992-2010 monitoring period. Application of the Landsat image method to two dune systems in southern California demonstrated its usefulness for mapping sand migration patterns and rates. Between 1995 and 2014, Palen Dunes lost over half of its stable dune surface and increased its sand accumulation zone by nearly that same area coverage. In contrast, changes in the sand movement patterns at Kelso Dunes were not apparent, perhaps due in to its more constraining mountain landscape features. These results have an immediate application for understanding future sand transport and characterizing potential impacts to nearby utility-scale solar energy installations.
机译:加利福尼亚南部的可再生能源设施的开发商需要评估靠近活动沙丘的设施运营的风险。这项研究首先使用在亚利桑那州调查的风沙迁移率测量值的地面数据作为一种表征沙丘流动性的准确方法,首先验证了Landsat影像光谱数据。在此站点上,根据卫星图像正确绘制了测得的沙丘运动的主要方向,以及在整个1992-2010年监视期内沙丘前缘的迁移距离。 Landsat影像方法在加利福尼亚南部的两个沙丘系统中的应用证明了其对测绘沙迁移模式和速率的有用性。在1995年至2014年之间,帕伦沙丘(Palen Dunes)失去了一半以上的稳定沙丘表面,并以几乎相同的面积覆盖率增加了其沙积带。相反,凯尔索沙丘沙运动模式的变化并不明显,这可能是由于其更具约束性的山地景观特征所致。这些结果可立即用于理解未来的砂子运输和表征对附近公用事业规模的太阳能装置的潜在影响。

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