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The frequency of natural disasters is increasing annually, posing a significant threat to the social economy. Traditional methods of monitoring natural disasters are inefficient and can no longer meet monitoring needs. Remote sensing is economical, rapid, and data-rich. It has gradually been applied in natural disaster monitoring and has yielded positive results. This article explores the application of LiDAR and InSAR remote sensing technologies in three natural disasters: earthquakes, landslides, and floods. It concludes that in practical applications, selecting appropriate remote sensing technology methods or broadening the scope of remote sensing technology applications is necessary. Secondly, researchers should improve remote sensing data sharing, optimize algorithms, and develop better data processing systems and platforms. Finally, researchers can achieve better observation results only by improving observation accuracy. This paper aims to provide the public with relevant knowledge on the application of remote sensing in natural disaster monitoring. It also highlights flaws and deficiencies to provide references and ideas for related research.
Lingdi Ke (Tue,) studied this question.