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WORKABLE MONITORING SYSTEM BASED ON SPACEBORNE SAR IMAGES FOR MINING AREAS - STINGS DEVELOPMENT PROJECT

机译:基于空间SAR图像的矿区实用监控系统-工地开发项目

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Nowadays monitoring of mining areas, e.g., regarding dam stability, has become increasingly important with rising awareness of safety and environmental protection. An appropriate monitoring scheme is necessitated to legally activate, reactivate, or terminate mining operations. Usually such monitoring relies on in situ surveys, which are unrealistic to cover an extensive mining area. Alternatively, remote sensing based on spaceborne data offers efficient and cost-effective solutions for regular surveillance of large areas. Spaceborne SAR sensors provide images captured rapidly over vast areas at fine spatiotemporal resolution. These sensors are characterized by weather independent and day-and-night vision, which guarantees intensive image series without cloud occlusion. Using multi-temporal SAR images, advanced DInSAR such as PSI and SBAS is a mature technique to evaluate surface deformation at best millimetre level. This technique has been commercialized as a standard service in many Geoinformation companies. Nevertheless, experts from other fields like mining engineers often doubt the information about movement derived from DInSAR. Our duty in industry is to solve these doubts and tailor our techniques for various applications. With the support of STINGS project, we have developed an initial prototype of our monitoring system. The final goal is to launch an interactive GIS-based platform as an early warning system to the public. In this paper, we demonstrate our initial test result using Sentinel-1 images at a mining site in Chile. We also propose the strategies to solve the problems in real applications and discuss how to improve the overall quality.
机译:如今,随着对安全和环保意识的提高,对矿区的监控,例如大坝的稳定性,已变得越来越重要。必须采用适当的监视方案来合法地激活,重新激活或终止采矿操作。通常,此类监视依赖于现场勘测,这对于覆盖广泛的采矿区域是不现实的。另外,基于星载数据的遥感为常规的大面积监视提供了有效且具有成本效益的解决方案。星载SAR传感器提供了以良好的时空分辨率在广阔区域内快速捕获的图像。这些传感器具有不受天气影响和昼夜视力的特点,可确保密集的图像序列而不会遮挡云层。使用多时间SAR图像,高级DInSAR(例如PSI和SBAS)是一种成熟的技术,可以在最佳毫米级别上评估表面变形。该技术已在许多地理信息公司中作为标准服务商业化。然而,来自其他领域的专家(例如采矿工程师)经常怀疑来自DInSAR的运动信息。我们在工业上的职责是解决这些疑虑,并针对各种应用量身定制我们的技术。在STINGS项目的支持下,我们开发了监控系统的初始原型。最终目标是启动一个基于GIS的交互式平台,作为对公众的预警系统。在本文中,我们使用Sentinel-1图像在智利的一个采矿现场展示了我们的初始测试结果。我们还提出了解决实际应用中的问题的策略,并讨论了如何提高整体质量。

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