Advances of Satellite Remote Sensing Technology in Earthquake Prediction

Zhao, Binru; Pan, Shun; Sun, Zhongchang; Guo, Huadong; Zhang, Lei; Feng, Kang

doi:10.1061/(asce)nh.1527-6996.0000419

Cited by 24 publications

(11 citation statements)

References 84 publications

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“…11). These are statistical analysis consistent with this research (Eneva et al, 2008) and advances mentioned in (Zhao et al 2021). The result of this test showed no factors had signi cant change around the faults and the epicenter, thus changes of the nLST are proved can occur just from the earthquake.…”

Section: Ordinary Least Squares (Ols)supporting

confidence: 88%

Changes in subsidence and uplift and the nighttime land surface temperature anomaly related the distance to the earthquake epicenter and the faults using Sentinel and MODIS imageries

Kalkhajeh

Jamali

2021

Preprint

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When an earthquake occurs, the faults of the region usually heat the rocks and soil of the region due to their movements. The purpose of this study was to analyze the uplift, subsidence, cloud cover and changes in nighttime land surface temperature (nLST) anomalies around faults and the earthquake epicenter in Kermanshah, Iran (date and time of earthquake 12 November, 2017 at 18:18 Coordinated Universal Time (UTC) and at 21:48 Iranian time(. Heat changes were investigated by considering the effect of other cooling factors such as vegetation (EVI), land altitude and soil moisture, rainfall and water areas. Using the MODIS sensor product, the amount of cloud cover and cooling factors were obtained. Using sentinel 1A the amount of earth uplift and subsidence were calculated. The results showed that using statistical analysis, a significant difference was observed in the nighttime land surface temperature around the faults and around the uplift and subsidence on the night of the accident, before and after night of earthquake. However, there was no significant difference between nighttime temperature and changes in the rate of spatial variation of cooling factors. It was found that the earthquake caused an increase in temperature at the fault and earthquake epicenter location. It also causes changes in height such as uplift and subsidence. Cloud cover situation showed before the earthquake, the cloud density was high and after the earthquake, the cloud density decreased. Crises managers can consider these results for monitoring metropolices for more readiness before earthquake accordance.

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Section: Ordinary Least Squares (Ols)supporting

confidence: 88%

Changes in subsidence and uplift and the nighttime land surface temperature anomaly related the distance to the earthquake epicenter and the faults using Sentinel and MODIS imageries

Kalkhajeh

Jamali

2021

Preprint

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“…With the continuous growth of Remote Sensing (RS) technology, people can quickly get High-resolution Remote Sensing (HRS) images 6 with much information. Machine learning (ML) and Deep Learning (DL) combined with HRS images to obtain post-disaster building damage information 7 – 9 . The existing methods for building damage assessment are generally based on post-disaster images or HRS images before and after the disasters 10 – 12 .…”

Section: Introductionmentioning

confidence: 99%

Post-disaster building damage assessment based on improved U-Net

Deng

Wang

2022

Sci Rep

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When a severe natural disaster occurs, the extraction of post-disaster building damage information is one of the methods to quickly obtain disaster information. The increasingly mature high-resolution remote sensing technology provides a solid foundation for obtaining information about building damage. To address the issues with inaccurate building positioning in existing building damage assessment methods, as well as poor classification due to similar minor and major damage characteristics in building damage classification. Based on U-Net, we designed a two-stage building damage assessment network. The first stage is an independent U-Net focused on building segmentation, followed by a Siamese U-Net focused on building damage classification. The Extra Skip Connection and Asymmetric Convolution Block were used for enhancing the network's ability to segment buildings on different scales; Shuffle Attention directed the network's attention to the correlation of buildings before and after the disaster. The xBD dataset was used for training and testing in the study, and the overall performance was evaluated using a balanced F-score (F1). The improved network had an F1 of 0.8741 for localization and F1 of 0.7536 for classification. When compared to other methods, it achieved better overall performance for building damage assessment and was able to generalize to multiple disasters.

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“…Due to these limitations, remote sensing can be a costeffective technique. Specifically, among the different types of remote sensing techniques, the Advanced Differential Interferometric Synthetic Aperture Radar (A-DInSAR- Franceschetti et al 1992) proved to be a very powerful tool, being sensitive to sub-centimetric ground movements (Colesanti et al 2006) and/or terrain displacements, induced by landslides (Wasowski and Bovenga 2022;Scifoni et al 2016;Pappalardo et al 2018;Giardina et al 2019;Guerriero et al 2019), earthquakes (De Novellis et al 2018;Zhao et al 2021), volcanoes (Foumelis et al 2016Casu et al 2019) and valid to detect harm to structures and infrastructures (Milillo et al 2018;Ullo et al 2019;Pastor et al 2019;Miano et al 2021). In the last three decades, A-DinSAR has been applied also in mining areas to detect subsidence due to underground activity (Yue et al 2011;Du et al 2016;Ammirati et al 2020;Pawluszek et al 2020;Chen et al 2021), monitoring the stability of tailings dam (Necsoiu et al 2015;Gama et al 2019;Ammirati et al 2021), and to identify surface movements in open-pit mines (Paradella et al 2015;Carlà et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Semi-real time systems for subsidence monitoring in areas affected by underground mining: the example of the Nuraxi-Figus coal district (Sardinia, Italy)

Ammirati

Martire

Bordicchia³

et al. 2022

Int J Coal Sci Technol

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Underground mining can produce subsidence, which can be coincident with mining activities or delayed in response to the time-dependent deformation of the rocks. Therefore, in these cases, it is essential to effectively monitor the soil deformations at different times during and after mining activity. In the present work, an integrated approach based on geotechnical numerical modeling and Advanced Differential Interferometric Synthetic Aperture Radar (A-DInSAR) method has been applied to detect, study and monitor the subsidence related to mining activity in the Nuraxi Figus coal district (Sardinia, Italy). Two datasets of high-resolution COSMO-Skymed images were acquired, respectively in two covering periods: from 2011 and 2014, and from 2013 to 2020. The A-DInSAR results show that the predominant displacement rates are located in correspondence with the panels. The cumulated satellite-based LoS displacements vary in the first period between − 130 and + 28 mm and − 293 and + 28.4 mm, while, during the second period between − 6.9 and + 1.6 mm and − 8.72 and + 4.33 mm in ascending and descending geometries, respectively. The geotechnical numerical model allowed to obtain a value for the maximum expected. By using the vertical and horizontal components it was possible to reconstruct the kinematics of the deformation considering three phases: pre-mining, syn-mining, and post-mining activity. The temporal evolution of displacements started during the mining extraction in 2011, achieved the major values in correspondence of post-mining operations, during the period from 2013 to 2014 and continued slowly until 2020. The near real-time monitoring system applied in this study proved to be very useful for detecting subsidence during the mining activity and the post-mining period.

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Advances of Satellite Remote Sensing Technology in Earthquake Prediction

Cited by 24 publications

References 84 publications

Changes in subsidence and uplift and the nighttime land surface temperature anomaly related the distance to the earthquake epicenter and the faults using Sentinel and MODIS imageries

Changes in subsidence and uplift and the nighttime land surface temperature anomaly related the distance to the earthquake epicenter and the faults using Sentinel and MODIS imageries

Post-disaster building damage assessment based on improved U-Net

Semi-real time systems for subsidence monitoring in areas affected by underground mining: the example of the Nuraxi-Figus coal district (Sardinia, Italy)

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