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2021 Seventh International Conference on Aerospace Science and Engineering (ICASE)最新文献

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Machine Learning Based Thermal Anomaly Detection Associated with Three Earthquakes in Pakistan Using MODIS LST 基于机器学习的MODIS LST巴基斯坦三次地震热异常探测
Pub Date : 2021-12-14 DOI: 10.1109/ICASE54940.2021.9904274
Amna Hafeez, Munawar Shah, Rasim Shahzad
Thermal anomalies can be monitored by remote sensing instruments to provide some insight into forthcoming earthquakes (EQ). In this paper, we study thermal anomaly associated with the three EQs (2019 Azad Kashmir, 2013 Awaran and 2017 Khuzdar) in Pakistan from Moderate Resolution Imaging Spectrodiameter (MODIS) when earthquakes were underway. The temporal data of Land Surface Temperature (LST) is deliberated for 20 days before and 10 days later the main shock day. Temperature measurements in the 10 days preceding and after the main event show irregular values. Moreover, the data is also analyzed using neural network for validating the statistically observed anomalies.
热异常可以通过遥感仪器监测,以提供对即将发生的地震(EQ)的一些了解。本文利用中分辨率成像光谱直径(MODIS)研究了巴基斯坦地震发生时与三个EQs(2019年Azad Kashmir、2013年Awaran和2017年Khuzdar)相关的热异常。研究了主震日前后20 d的地表温度(LST)资料。主震前后10天的温度测量值显示不规律。此外,还使用神经网络对数据进行分析,以验证统计观测到的异常。
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2021 Seventh International Conference on Aerospace Science and Engineering (ICASE)
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