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Using Combined Close-Range Active and Passive- Remote Sensing Methods to Detect Sinkholes

机译:使用组合式近距离主动和被动遥感方法检测污水坑

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In the Dead Sea region of Israel, sinkholes collapse can be observed easily due to the large number of sites. The continuous decrease in Dead Sea level over the last 30 years, caused a substantial increases the sinkhole activity (more than 3,000 sinkholes upper layer collapse). Sinkholes of up to 50 m diameter are found to be clustered in sites with variable characteristics. In this research, we have developed methods for prediction of sinkholes appearance by using mapping and monitoring methods based on active and passive remote-sensing means. These methods are based on measurements from several instruments including field spectrometry, geophysical ground-penetration radar (GPR) and a frequency domain electromagnetic (FDEM) instrument. Field spectrometry was used to compare the spectral signatures of soil samples collected near progressing sinkholes and those taken in regions with no visible occurrence of sinkholes. Active remote sensing showed higher electrical conductivity and soil moisture in the former regions. Measurements were taken at different time points to monitor the progress of an.
机译:在以色列的死海地区,由于地点众多,很容易发现塌陷。在过去的30年中,死海水位的持续下降导致沉坑活动大大增加(超过3,000个沉坑上层塌陷)。发现直径最大为50 m的污水池聚集在具有不同特征的地点。在这项研究中,我们已经开发出了基于主动和被动遥感手段的测绘和监测方法,用于预测下沉坑的外观。这些方法基于几种仪器的测量结果,包括现场光谱仪,地球物理探地雷达(GPR)和频域电磁(FDEM)仪器。现场光谱法用于比较在进行中的污水坑附近收集的土壤样品的光谱特征和在没有可见污水坑发生的区域采集的土壤样品的光谱特征。主动遥感显示在以前的地区电导率和土壤水分较高。在不同的时间点进行测量以监测癌症的进展。

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