首页> 外文会议>International Society for Photogrammetry and Remote Sensing Commission Technical Commission Symposium >EVALUATIONS FOR POTENTIAL OF GLACIAL LAKE OUTBURST FLOODS (GLOFS) IN THE BHUTAN HIMALAYA USING PRISM AND AVNIR-2 ONBOARD ALOS
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EVALUATIONS FOR POTENTIAL OF GLACIAL LAKE OUTBURST FLOODS (GLOFS) IN THE BHUTAN HIMALAYA USING PRISM AND AVNIR-2 ONBOARD ALOS

机译:使用棱镜和Avnir-2船上的Bhutan Himalaya在Butan Himalaya中的冰川湖爆发洪水(GLOFS)的评估

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The objectives of this study are to validate generated Digital Surface Models (DSMs) by PRISM onboard the Advanced Land Observing Satellite (ALOS, nicknamed "Daichi") in snow and glacier regions to contribute to the evaluation of potential Glacial Lake Outburst Floods (GLOFs) and their mitigation in the Bhutan Himalaya. Glacial lake inventory will also be generated to investigate the expansion process of glacial lakes using historical satellite imageries, including those by ALOS, as current conditions. Failures of glacial lake dams terminated by natural moraines can cause outburst floods and represent a serious hazard to downstream regions. The development and expansion of glacial lakes is sometimes said to be due to recent global warming, while other researchers say no correlation between them exists. The fact is, people living in such regions are exposed to the risk of GLOFs. To mitigate the damage of GLOFs, investigation into the melting process of glaciers and the development and expansion processes of it and evaluations of outburst potential of glacial lakes and triggers of GLOF are necessary. Preparations for risk management, such as operational monitoring of glaciers and glacial lakes, hazard maps, early warning systems, etc., are equally as important. Earth observation satellites have the potential to investigate existing conditions and operational monitoring of glaciers and glacial lakes. This paper introduces a study to validate generated PRISM DSMs in general terrains without snow as well as those covered by snow in mountainous areas. Airborne Lidar data and field-based GPS measurements have been used to validate PRISM DSMs as reference data. The height accuracies of PRISM DSMs have achieved 2.88 m (RMS) at the Alaska test site, and 6.31 m (RMS) at Mt. Tateyama, Japan. Both sites were covered by snow. These results are sufficient to analyze glaciers and glacial lakes in the Bhutan Himalaya. The three-dimensional glacial lake inventory is currently being generated by PRISM and AVNIR-2 as the latest condition.
机译:本研究的目标是通过棱镜验证生成的数字表面模型(DSM)在雪地和冰川地区的高级土地观察卫星(ALOS,绰号“Daichi”)上验证了雪和冰川地区,以有助于评估潜在的冰川湖爆发洪水(GLOFS)及其在不丹喜马拉雅山的缓解。还将产生冰川湖库存,以研究使用历史卫星成像,包括Alos的冰川湖泊的扩展过程,包括Alos,作为当前条件。自然冰淇淋终止的冰川湖坝的失败可能导致爆发洪水,并对下游地区表示严重危险。有时称冰川湖的发展和扩张是由于最近的全球变暖,而其他研究人员则表示它们之间没有相关性。事实是,生活在此类地区的人面临着GLOFS的风险。为了减轻GLOFS的伤害,需要调查冰川的熔化过程以及它的开发和扩展过程以及冰川湖泊的爆发潜力的评估以及GLOF的触发。风险管理的准备,例如冰川和冰川湖泊的操作监测,危险地图,预警系统等同样重要。地球观测卫星有可能调查冰川和冰川湖泊的现有条件和操作监测。本文介绍了一项研究,以验证一般地毯的生成棱镜DSM,没有雪,以及山区覆盖的那些。已经使用空中LIDAR数据和基于现场的GPS测量来验证棱镜DSM作为参考数据。棱镜DSMS的高度精度已经在阿拉斯加试验场所的2.88米(RMS),并在Mt.Tateyama,日本的6.31米(RMS)。两个地点都被雪所覆盖。这些结果足以分析不丹喜马拉雅山的冰川和冰川湖泊。三维冰川湖库存目前正在被棱镜和AVNIR-2作为最新条件生成。

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