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Mapping the temporal and spatial changes in crescent dunes using an interferometric synthetic aperture radar temporal decorrelation model
Aeolian Research ( IF 3.3 ) Pub Date : 2020-06-01 , DOI: 10.1016/j.aeolia.2020.100616
Yubin Song , Chunbo Chen , Wenqiang Xu , Hongwei Zheng , Anming Bao , Jiaqiang Lei , Geping Luo , Xi Chen , Rui Zhang , Zhaobin Tan

The interferometric synthetic aperture radar temporal decorrelation model is a powerful tool for describing surface changes over time. Recently, this model has been used in several dune stability studies. However, so far, the combined effects of spatial and thermal decorrelation on the estimation of temporal decorrelation in dune regions have not been studied. In this paper, we propose a temporal decorrelation model for a dune area based on the consideration of the effects of spatial and thermal decorrelation, and we validate the model using the sand drift potential (DP) and precipitation, by which the potential of this model to describe surface changes in crescent dune area is evaluated. Furthermore, we test the proposed model by mapping changes of stability in crescent dunes on both sides of road in the Taklamakan Desert between May 22, 2017, and May 29, 2018. The results show that, first, spatial decorrelation in the dune area can be ignored, but thermal decorrelation cannot. Second, the temporal decorrelation gradually decreases with increasing synthetic sand drift potential (RDP, a vector synthesis of DP), but its sensitivity to different levels of RDP is different. When the RDP is at a relatively low level (between 0 and 50), even small changes in it can be identified. However, when the RDP is at a relatively high level (greater than 50), even relatively large changes in it are difficult to distinguish. Third, when the RDP is low, this model can clearly distinguish the intrusion of dunes of different scales into a highway protection system.



中文翻译:

使用干涉式合成孔径雷达时间去相关模型绘制新月沙丘的时空变化图

干涉式合成孔径雷达时间去相关模型是描述表面随时间变化的强大工具。最近,该模型已用于多个沙丘稳定性研究中。但是,到目前为止,还没有研究空间和热去相关对沙丘区域时间去相关估计的综合影响。在本文中,我们基于空间和热去相关的影响,提出了一个沙丘区域的时间去相关模型,并使用沙漂移势(DP)和降水对模型进行了验证,由此模型的潜力描述新月形沙丘面积的表面变化。此外,我们通过绘制2017年5月22日在塔克拉玛干沙漠公路两侧的新月沙丘的稳定性变化图来测试所提出的模型,和2018年5月29日。结果表明,首先,沙丘区域中的空间去相关可以忽略,而热去相关则不能。其次,时间去相关性随着合成砂漂移电位(RDP,DP的矢量合成)的增加而逐渐减小,但是其对不同水平RDP的敏感性不同。当RDP处于相对较低的水平(0到50之间)时,甚至可以识别出它的很小变化。但是,当RDP处于相对较高的水平(大于50)时,即使是相对较大的变化也很难区分。第三,当RDP低时,该模型可以清楚地区分不同规模的沙丘入侵高速公路保护系统。时间去相关性随合成砂漂移电位(RDP,DP的矢量合成)的增加而逐渐减小,但其对不同水平RDP的敏感性不同。当RDP处于相对较低的水平(0到50之间)时,甚至可以识别出它的很小变化。但是,当RDP处于相对较高的水平(大于50)时,即使是相对较大的变化也很难区分。第三,当RDP低时,该模型可以清楚地区分不同规模的沙丘入侵高速公路保护系统。时间去相关性随合成砂漂移电位(RDP,DP的矢量合成)的增加而逐渐减小,但其对不同水平RDP的敏感性不同。当RDP处于相对较低的水平(0到50之间)时,甚至可以识别出它的很小变化。但是,当RDP处于相对较高的水平(大于50)时,即使是相对较大的变化也很难区分。第三,当RDP低时,该模型可以清楚地区分不同规模的沙丘入侵高速公路保护系统。即使是很小的变化也可以识别。但是,当RDP处于相对较高的水平(大于50)时,即使是相对较大的变化也很难区分。第三,当RDP低时,该模型可以清楚地区分不同规模的沙丘入侵高速公路保护系统。即使是很小的变化也可以识别。但是,当RDP处于相对较高的水平(大于50)时,即使是相对较大的变化也很难区分。第三,当RDP低时,该模型可以清楚地区分不同规模的沙丘入侵高速公路保护系统。

更新日期:2020-06-01
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