首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >RECOMMENDATIONS FOR LONG-TERM OPERATIONAL DINSAR MONITORING OF MINING-INDUCED DEFORMATION IN A DYNAMIC AGRICULTURAL REGION
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RECOMMENDATIONS FOR LONG-TERM OPERATIONAL DINSAR MONITORING OF MINING-INDUCED DEFORMATION IN A DYNAMIC AGRICULTURAL REGION

机译:长期运营Dinsar在动态农业区中采矿诱导变形监测的建议

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摘要

Underground mining activities are associated with the potential for surface deformation. DInSAR techniques are known for its ability to successfully measure and monitor deforming areas. However, the limitations associated with this technology are mostly related to signal decorrelation effects which are introduced as a result of the surface and sensor characteristics. In this paper we examine the operational limitations of this technology in the presence of disturbances to the reflected signals, due to the dynamic agricultural nature of the sites under test. Three sources of SAR data captured at X-band, C-band and L-band respectively was considered. The results revealed that changes in the vegetative conditions affected C- and X-band data (as might be expected) more severely, although changes in surface conditions induced by tilling and harvesting also affected L-band data. C-band data could not measure deformation maxima whilst L-band data showed reduced sensitivity to deformation minima.
机译:地下采矿活动与表面变形有关。以其成功测量和监测变形区域的能力而闻名Dinsar技术。然而,与该技术相关的局限性主要与由于表面和传感器特性而引入的信号去相关效果。在本文中,由于遭到的正在测试的部位的动态农业性质,我们在对反射信号的情况下检查该技术的运行限制。考虑了在X波段,C波段和L频带处捕获的三种SAR数据来源。结果表明,营养状况的变化影响了C-和X频段数据(如可能预期的),尽管耕种和收获引起的表面状况的变化也会影响L波段数据。 C波段数据无法测量变形最大值,而L波段数据显示对变形最小值的灵敏度降低。

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