This study evaluates the feasibility of using Synthetic Aperture Radar (SAR) constellations for rapid damage mapping in the aftermath of the 2023 Turkey-Syria earthquake. We specifically address the data acquisition latency challenges associated with X- and L-Band SAR constellations, including those operated by U.S. Capella Space, UMBRA Space, European ICEYE, and the Italian/Argentinian SIASGE constellation. Our analysis compares these constellations’ response times with established damage mapping techniques from open-access ESA Sentinel-1A/B and NASA NISAR missions. By integrating USGS shake maps with existing building maps, we demonstrate that the shorter revisit times and higher spatial resolutions of X-band SAR constellations can produce damage maps within hours, complementing the longer-term data provided by ESA and NASA missions. This research highlights the strengths and limitations of both approaches, emphasizing their roles in enhancing earthquake reconnaissance and damage detection efforts.

中文翻译：

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模拟 SAR 星座系统以在城市地区快速绘制损失地图：以 2023 年土耳其-叙利亚地震为例


本研究评估了在 2023 年土耳其-叙利亚地震后使用合成孔径雷达 （SAR） 星座快速绘制损失测绘的可行性。我们专门解决了与 X 波段和 L 波段 SAR 星座相关的数据采集延迟挑战，包括由美国 Capella Space、UMBRA Space、欧洲 ICEYE 和意大利/阿根廷 SIASGE 星座运营的星座。我们的分析将这些星座的响应时间与开放获取的 ESA Sentinel-1A/B 和 NASA NISAR 任务中已建立的损伤测绘技术进行了比较。通过将 USGS 震动地图与现有建筑地图集成，我们证明了 X 波段 SAR 星座更短的重访时间和更高的空间分辨率可以在数小时内生成损坏地图，补充了 ESA 和 NASA 任务提供的长期数据。本研究强调了这两种方法的优势和局限性，强调了它们在加强地震侦察和损失检测工作方面的作用。