基于大数据分析的年度卫星遥感区域热辐射特征
Tao Wen1, Congxin Wei2, Zhenyi Wang2
1Gansu Computing Center, Lanzhou 730030, China.
Sensors (Basel, Switzerland)
|October 28, 2023
概括
这项研究使用先进的遥感技术揭示了伊朗和巴基斯坦地震之前的热辐射异常. 新的指标 (ARI和MDF) 有助于确定地震异常和幅度.
科学领域:
- 地质物理学 地质物理学
- 遥感 遥感 遥感 遥感
- 地震学 地震学
背景情况:
- 地震群对异常检测具有独特的挑战.
- 了解热辐射异常对于地震事件分析至关重要.
研究的目的:
- 调查与地震群相关的短期和长期热辐射异常.
- 开发识别地震异常和确定地震强度的方法.
- 分析热异常与地震特征之间的关系.
主要方法:
- 利用来自中国地球静止气象卫星 (FY-2C/2E/2F/2G) 的红外遥感数据.
- 应用了多尺度时间频率相对功率光谱 (MS T-FRPS) 方法用于异常提取.
- 与USGS ShakeMaps相关异常,并引入异常区域指标 (ARI) 和大小决定因子 (MDF).
主要成果:
- 建立了热辐射异常和地震事件之间的关系.
- 成功提出了用于测定地震异常的异常区域指标 (ARI).
- 开发了大小决定因子 (MDF) 用于估计地震大小.
- 探索地震对区域热辐射背景的影响.
结论:
- 该MS T-FRPS方法为分析热辐射异常提供了稳定可靠的方法.
- ARI和MDF为地震异常和强度的确定提供了有前途的工具.
- 使用MS T-FRPS进行进一步的研究可以提高地震强度的准确性.
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