Investigation of Spatio-temporal Satellite Thermal IR Anomalies Associated with the Awaran Earthquake (Sep 24, 2013; M 7.7), Pakistan

Ahmad, Nabeel; Barkat, Adnan; Ali, Aamir; Sultan, Mahmood; Rasul, Khurram; Iqbal, Zafar; Iqbal, Talat

doi:10.1007/s00024-019-02149-9

Cited by 19 publications

(9 citation statements)

References 45 publications

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“…L IKE thermal infrared satellite observation, passive microwave remote sensing is an important tool to determine information about the thermal radiations. The possible thermal anomalies prior to the occurrence of earthquakes around the globe have been widely reported using satellite infrared observations since last three decades [1]- [9]. The satellite infrared observations associated with the earthquakes are limited due to cloud cover depending on the weather conditions, although some anomaly detection methods have been proposed to reduce the effects of cloud cover [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Microwave Brightness Temperature Characteristics of Three Strong Earthquakes in Sichuan Province, China

Jing

Singh

Cui

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Passive microwave remote sensing technology is an effective means to identify the thermal anomalies associated with earthquakes due to its penetrating capability through clouds compared with infrared sensors. However, observed microwave brightness temperature is strongly influenced by soil moisture and other surface parameters. In the present article, the segmented threshold method has been proposed to detect anomalous microwave brightness temperature associated with the strong earthquakes occurred in Sichuan province, China, an earthquake-prone area with high soil moisture. The index of microwave radiation anomaly (IMRA) computed by the proposed method is found to enhance prior to the three strong earthquakes, 2008 Wenchuan (M = 7.8), 2013 Lushan (M = 6.6), and 2017 Jiuzhaigou (M = 6.5), occurred during 2008-2018 using the Defense Meteorological Space Program Special Sensor Microwave Imager/Sounder F17 satellite data. Our results show that the microwave brightness temperature anomalies appeared about two months prior to the three strong earthquakes. For the Wenchuan and Lushan earthquakes, the enhanced IMRA distributed along the main fault, which is consistent with the variations of our earlier studies of the 1997 Manyi (M = 7.5) and the 2001 Kokoxili (M = 7.8) earthquakes in the region with low soil moisture. For the Jiuzhaigou earthquake, the anomalies distributed around the epicenter and do not indicate the seismogenic structure, which could be due to the presence of a blind fault. It should be noted that quantitative evaluation of IMRA is limited due to infrequent occurrence of earthquakes.

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Section: Introductionmentioning

confidence: 99%

Microwave Brightness Temperature Characteristics of Three Strong Earthquakes in Sichuan Province, China

Jing

Singh

Cui

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…Although technology has developed rapidly since the 21th century, good research achievements in the aspect of earthquake prediction have not been made. With the rapid development of satellite remote sensing technology, infrared data have also been applied to seismic activity research, and satellite infrared remote sensing data have also made new achievements in seismic research [5]. In recent years, some progress has been made through applying satellite thermal infrared data to the study of earthquakes cases, and the quantified spatiotemporal evolution feature information has also been obtained, which is of great significance for us to track and obtain the thermal anomalies related to the earthquake with these data, so as to provide a basis for the accurate prediction of the earthquake.…”

Section: Introductionmentioning

confidence: 99%

“…Evaluation grade set V = (7,5,3,1), wherein the items represent excellent, better, good and poor evaluation grades respectively, and comprehensive grade evaluation of second indexes can be represented with equation 9…”

mentioning

confidence: 99%

Analysis of Earthquake Emergency Command System According to Cloud Computing Methods

Chen¹,

Chen²,

Li³

et al. 2021

IEEE Access

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To solve the problems of slow information acquisition, low processing efficiency, weak information storage and communication ability in earthquake rescue, an earthquake emergency command system on the basis of cloud computing and Internet of Things (IoT) is designed. First, the cloud computing technology is introduced, and the traditional earthquake emergency command system built by cloud computing and the Internet of things is analyzed. Then, based on the satellite remote sensing data, the characteristics of the middle-wave infrared remote sensing data before and after the recent earthquakes in China are explored. Subsequently, a new earthquake emergency command system is built based on cloud computing and Internet of things technology along with the data from the satellite middle-wave infrared remote sensing. Finally, the feasibility of the system is evaluated. The results show that the surface radiation changes significantly before the earthquake, the infrared brightness temperature difference value also fluctuates violently, and the abnormal area will gradually get closer to the epicenter as time goes by. The peak value of the relative power spectrum in the earthquake is more than 9 times of the average value in the normal time. In conclusion, the evaluation result of the emergency command system based on satellite remote sensing data, cloud computing, and Internet of things is good, suggesting satellite infrared remote sensing data can be applied to earthquake prediction, and the earthquake emergency command system constructed combining cloud computing and Internet of things technology has a good feasibility.

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“…Thermal remote sensing has a variety of implementation areas such as geothermal activity (Darge et al, 2019;Gray et al, 2019;Hewson et al, 2020), coal fire research (Roy et al, 2015;Singh et al, 2020), earthquake forecasting (Ahmad et al, 2019;Wongpornchai and Suwanprasit, 2020) and heat island (Coolbaugh et al, 2007;Kuenzer et al, 2007;Wei et al, 2013;Moore and Paine, 2014;Saryschev et al, 2019). Moore and Paine (2014) studied concentrated points of heat release by using LST obtained from a different algorithm.…”

Section: Introductionmentioning

confidence: 99%

Thermal Anomaly Detection of Industrial Zones with MNF and ICA

Arslan

2021

Turkish Journal of Geosciences

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Thermal anomalies can be detected with the help of the imagery provided by the satellite systems such as Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). ASTER provides five thermal bands for the effective analysis of thermal anomalies. In order to achieve this goal, considering the physical phenomena, many satellite signal processing methods and algorithms can be used. In this study, a region of steel facilities in the province of Hatay/Turkey is defined as the study area. Heat characteristics and extent of the area are represented by using four days of data from daytime and nighttime scenes. In order to define the thermal anomalies for the studied area, Land Surface Temperature (LST) was estimated by inverse Planck function approach for all TIR bands. Minimum Noise Fraction (MNF) and Independent Component Analysis (ICA) methods were applied on all thermal infrared (TIR) bands. The results of MNF and ICA components show location of the thermal anomalies for industrial complexes especially in nighttime scenes.

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Investigation of Spatio-temporal Satellite Thermal IR Anomalies Associated with the Awaran Earthquake (Sep 24, 2013; M 7.7), Pakistan

Cited by 19 publications

References 45 publications

Microwave Brightness Temperature Characteristics of Three Strong Earthquakes in Sichuan Province, China

Microwave Brightness Temperature Characteristics of Three Strong Earthquakes in Sichuan Province, China

Analysis of Earthquake Emergency Command System According to Cloud Computing Methods

Thermal Anomaly Detection of Industrial Zones with MNF and ICA

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