Mapping soil moisture as an indicator of transport corridor slope instability using remotely sensed data

Mapping soil moisture as an indicator of transport corridor slope instability using remotely sensed data
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使用遥感数据绘制土壤湿度作为运输走廊坡度不稳定性的指标

DOI:
10.1080/jom.2010.9711033
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发表时间:
2010
期刊:
影响因子:
2.2
通讯作者:
Hardy A
Hardy A
中科院分区:
地球科学3区
文献类型:
--
作者:
Hardy A

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请点击这里下载与本文相关的地图。世界上大部分的交通网络都位于岩屑和碎屑上。在英国,许多这种斜坡结构建于世纪中期,因此容易受到斜坡失稳的影响。运输走廊的不稳定性往往表现为浅层边坡破坏。这种故障的触发器是孔隙水压力的增加,这是直接受土壤水分增加的影响。在缺乏有效的现场测量技术的情况下,运输网络运营商通过粗略观察土壤水分状况对其土方工程进行评估。遥感提供了潜在的监测长距离的运输走廊,但目前还没有方法表征土壤水分,可以被认为是操作或成本efficient.This研究探讨了使用机载光探测和测距(LiDAR)映射土壤水分分布的运输走廊附近Haltwhistle,诺森伯兰郡。地形分析计算,即潜在的太阳辐射和地形湿度指数,应用到一个细尺度DEM内插的LiDAR点数据使用AnuDEM例程,确保考虑水文flow.Soil水分和地形分析计算之间的关系进行了探索,使用全球和本地(地理加权)回归分析。结果发现,结合潜在的太阳辐射计算和地形湿度指数,表示为自然对数,提供了最好的结果(R2= 0.65)。
Please click here to download the map associated with this article.Much of the world's transport networks are located on cuttings and embankments. In the UK many of these earthwork structures were constructed in the mid-19th Century and are therefore susceptible to slope instability. Instability in transport corridors tends to manifest itself through shallow slope failures. The trigger for such failures is an increase in pore water pressure which is directly affected by an increase in soil moisture. Transport network operators carry out appraisals of their earthworks by making crude observations of soil moisture conditions in the absence of an efficient technique for making in situ measurements. Remote sensing offers the potential to monitor long stretches of transport corridor but currently there is no method for characterising soil moisture that can be considered operational or cost effective.This study explores the use of airborne Light Detection and Ranging (LiDAR) to map soil moisture distribution for a transport corridor near Haltwhistle, Northumberland. Terrain analysis calculations, namely potential solar radiation and a topographic wetness index, are applied to a fine scale DEM interpolated from the LiDAR point data using the AnuDEM routine which ensures consideration of hydrological flow.The relationships between soil moisture and the terrain analysis calculations are explored using both global and local (geographically weighted) regression analysis. It was found that a combination of the potential solar radiation calculation and the topographic wetness index, expressed by the natural logarithm, provided the best results (R2= 0.65).
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