RAPID: Collaborative Research: Topographic Change and Cascading Hazards Following the Mw7.8 Kaikoura (New Zealand) Earthquake

这个快速反应研究（Rapid）项目将研究2016年11月13日新西兰凯库拉地区发生的一系列地震对断层和滑坡过程的影响。工作的重点将是为这一事件开发数字高程模型和时间序列，并开展实地工作以评估遥感产品。这项工作将补充新西兰地震后正在进行的其他紧急应对工作。它将加强美国和新西兰科学家之间的国际合作，并有意义地让学生参与科学研究过程。地形的四维演化对于理解断层和滑坡过程至关重要。对于变形和侵蚀景观的重大事件，如地震，我们缺乏事件尺度的数据来理解这些过程，因为重复陆地和空中调查的成本过高。现有的高分辨率地形调查在地理范围上往往很小，因此在事件发生前捕捉到一个地区的机会很少，而且范围通常有限。然而，高性能计算的最新进展与立体卫星图像收集相结合，为提供可处理为高分辨率地形的区域尺度数据创造了机会。这种调查可以用有限的资源进行重复，从而可以快速和相对便宜地创建地形时间序列数据。根据与国家地理空间情报局和超级计算机中心签订的合同，pi将获得现有的立体图像和超级计算机处理时间，以便立即开发并向所有研究该事件的研究人员提供事件前的高分辨率数字高程模型。这项工作将有助于理解涉及复杂的多断层源机制的大地震后的滑坡灾害，并将很容易导出到其他板块边界设置的其他地震的科学响应中。

This Rapid Response Research (RAPID) project will examine the effects of the November 13, 2016, series of earthquakes in the Kaikoura region of New Zealand on faulting and landslide processes. The focus of the effort will be to develop a digital elevation model and time series for this event and conduct field work to evaluate the remote sensing products. The work will complement other urgent response efforts underway in New Zealand following the earthquakes. It will enhance international collaboration among scientists in the United States and New Zealand and meaningfully involve students in the scientific research process.The 4D evolution of topography is critical for understanding faulting and landslide processes. For major events that deform and erode landscapes, such as earthquakes, we lack data at an event scale for understanding such processes because of the prohibitive cost of repeat land and airborne surveys. Existing high-resolution topographic surveys tend to be small in geographic extent, and thus the chance of catching an area before an event is rare and usually limited in scope. However, recent advances in high performance computing coupled with stereo-satellite imagery collection create the opportunity to provide regional scale data that can be processed for high-resolution topography. Such surveys can potentially be repeated with modest resources such that a topographic time series data can be created quickly and relatively inexpensively. Per contracts with the National Geospatial-Intelligence Agency and supercomputer centers, the PIs will gain access to the existing stereo imagery and super computer processing time needed to immediately develop and deliver a pre-event, high resolution digital elevation model to all researchers working on this event. This work will contribute to the understanding of landslide hazards after major earthquakes involving complex, multi-fault source mechanisms, and will be readily exportable to the scientific response of other earthquakes at other plate boundary settings.