首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >3D GLACIER MAPPING BY MEANS OF SATELLITE STEREO IMAGES: THE BELVEDERE GLACIER CASE STUDY IN THE ITALIAN ALPS
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3D GLACIER MAPPING BY MEANS OF SATELLITE STEREO IMAGES: THE BELVEDERE GLACIER CASE STUDY IN THE ITALIAN ALPS

机译:3D冰川映射通过卫星立体图像:贝尔维德冰川案例在意大利阿尔卑斯山区学习

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The authors group is within the Glacier Lab of Politecnico di Torino (part of the CC-LAB, a laboratory for climate change monitoring), which is working on glacier monitoring since 2016, mainly exploiting Geomatics techniques to measure the extent and to model the surface of glaciers over the years. Measurement campaigns were carried out within the ASP (Alta Scuola Politecnica – Poliecnico di Torino e Milano) DREAM projects (Drone tEchnnology for wAter resources and hydrologic hazard Monitoring) The manuscript is focused on a specific case study related to the Belvedere glacier, a valley glacier located in northern Italy.In the framework of the Belvedere glacier monitoring, several Geomatics approaches have already been applied in the last four years by the cc-glacier-lab and DREAM Projects with the goal to monitor both the extent of the glacier and its surface. Such monitoring enables the multi-temporal comparison of the glacier digital surface model (DSM), highlighting areas of ice loss and gain. Considering the limitations of aerial surveys in high altitude environments, the authors started assessing the suitability of a satellite based approach, mainly focusing on positional accuracy assessment. The paper is focused on a monitoring based on a high resolution (0.5 m) satellite optical stereo pair. Several tests were carried out with the goal to test the 3D positional accuracies, assessing the impact of different configurations of Ground Control Point (GCP) in terms of numerosity and distribution and focusing on the DSM validation. The results demonstrated the fit-for-purpose of a satellite-based approach for glacier monitoring.
机译:作者集团位于PoliteCnico di Torino(CC-Lab的一部分,气候变化监测实验室)的冰川实验室,自2016年以来正在研究冰川监测,主要是利用地理学技术来衡量范围和模型表面多年来的冰川。测量活动是在ASP中进行的(Alta Scuola Politecnica - Poliecnico Diorino E Milano)梦想项目(用于水资源的无人机技术和水文危险监测),手稿专注于与眺望河山谷冰川有关的具体案例研究位于意大利北部。在贝尔维德冰川监测的框架中,CC-Glacier-Lab和Dream项目的过去四年来,已经应用了几种地理学方法,以监测冰川及其表面的范围。这种监控能够实现冰川数字表面模型(DSM)的多时间比较,突出冰损和增益的区域。考虑到高海拔环境中的空中调查的局限性,作者开始评估卫星基于卫星方法的适用性,主要关注位置准确性评估。本文专注于基于高分辨率(0.5米)卫星光学立体对的监测。进行了几次测试,目标是为了测试3D位置精度,在数量和分布和专注于DSM验证方面评估地面控制点(GCP)的影响。结果表明了卫星监测卫星基于卫星的拟合。

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