Thermal IR satellite data application for earthquake research in Pakistan

Barkat, Adnan; Ali, Aamir; Rehman, Khaista; Awais, Muhammad; Riaz, Muhammad Shahid; Iqbal, Talat

doi:10.1016/j.jog.2018.01.008

Cited by 27 publications

(12 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They showed that weak seismic thermal infrared anomalies can be used to predict earthquakes [21]. Barkat et al (2018) showed that the increase of the earth's surface temperature was closely related to the earthquake. Calculating the increase of the earth's surface temperature using the thermal infrared image of the satellite could obtain the precursor information of the earthquake [22].…”

Section: Application Of Satellite Remote Sensing Data In Seismic Rmentioning

confidence: 99%

“…Barkat et al (2018) showed that the increase of the earth's surface temperature was closely related to the earthquake. Calculating the increase of the earth's surface temperature using the thermal infrared image of the satellite could obtain the precursor information of the earthquake [22]. Wei et al (2020) used time-frequency, wavelet transform, and relative power spectrum method to analyze the periodic variation rule of satellite characteristic data (including thermal radiation anomaly, thermal radiation background anomaly, and brightness temperature value) [23].…”

Section: Application Of Satellite Remote Sensing Data In Seismic Rmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Earthquake Emergency Command System According to Cloud Computing Methods

Chen¹,

Chen²,

Li³

et al. 2021

IEEE Access

View full text Add to dashboard Cite

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.

show abstract

Section: Application Of Satellite Remote Sensing Data In Seismic Rmentioning

confidence: 99%

Section: Application Of Satellite Remote Sensing Data In Seismic Rmentioning

confidence: 99%

Analysis of Earthquake Emergency Command System According to Cloud Computing Methods

Chen¹,

Chen²,

Li³

et al. 2021

IEEE Access

View full text Add to dashboard Cite

show abstract

“…However, other non-seismic signals may suggest that an earthquake is about to happen, such groundwater temperature and/or chemistry changes (Claesson et al 2004;Rigo 2010; King and Chia 2018 and references therein) and radon emissions (e.g., King 1986;Einarsson et al 2008;Awais et al 2017 and references therein). While such changes can be monitored in situ, satellite-based Earth Observation may also help monitoring these non-seismic signal changes in the ionospheric Total Electron Content (TEC) (e.g., Zakharenkova et al 2008;Harrison et al 2010;Kon et al 2011;Zhang et al 2014 and references therein), the surface temperature (e.g., Tronin 2000;Tramutoli et al 2013;Barkat et al 2018 and references therein), surface latent heat flux (Dey et al 2004;Cervone et al 2006;Qin et al 2014) and Earthquake-cloud formation (e.g., Harrison et al 2014 and references therein). While these partial examples confirm the variety of non-seismic signal that can be monitored, research is still required to improve the earthquake forecasting.…”

Section: Forecasts and Early Warning Systemsmentioning

confidence: 99%

Space-Based Earth Observations for Disaster Risk Management

et al. 2020

View full text Add to dashboard Cite

As space-based Earth observations are delivering a growing amount and variety of data, the potential of this information to better support disaster risk management is coming into increased scrutiny. Disaster risk management actions are commonly divided into the different steps of the disaster management cycle, which include: prevention, to minimize future losses; preparedness and crisis management, often focused on saving lives; and post-crisis management aiming at re-establishing services supporting human activities. Based on a literature review and examples of studies in the area of coastal, hydro-meteorological and geohazards, this review examines how space-based Earth observations have addressed the needs for information in the area of disaster risk management so far. We show that efforts have essentially focused on hazard assessments or supporting crisis management, whereas a number of needs still remain partly fulfilled for vulnerability and exposure mapping, as well as adaptation planning. A promising way forward to maximize the impact of Earth observations includes multi-risk approaches, which mutualize the collection of time-evolving vulnerability and exposure data across different hazards. Opportunities exist as programmes such as the Copernicus Sentinels are now delivering Earth observations of an unprecedented quality, quantity and repetitiveness, as well as initiatives from the disaster risk science communities such as the development of observatories. We argue that, as a complement to this, more systematic efforts to (1) build capacity and (2) evaluate where space-based Earth observations can support disaster risk management would be useful to maximize its societal benefits.

show abstract

“…Pre-seismic periods are considered as a time of stress accumulation. Potential anomalies related to this stress accumulation are expected to appear closer to the time of the rupture [30,47]. A co-seismic period is considered to be the time of rupture and stress release.…”

Section: Anomaly Density Calculationsmentioning

confidence: 99%

Time Series Analysis of Land Surface Temperatures in 20 Earthquake Cases Worldwide

et al. 2018

View full text Add to dashboard Cite

Earthquakes are reported to be preceded by anomalous increases in satellite-recorded thermal emissions, but published results are often contradicting and/or limited to short periods and areas around the earthquake. We apply a methodology that allows to detect subtle, localized spatio-temporal fluctuations in hyper-temporal, geostationary-based land surface temperature (LST) data. We study 10 areas worldwide, covering 20 large (Mw > 5.5) and shallow (<35 km) land-based earthquakes. We compare years and locations with and without earthquake, and we statistically evaluate our findings with respect to distance from epicentra and temporal coincidence with earthquakes. We detect anomalies throughout the duration of all datasets, at various distances from the earthquake, and in years with and without earthquake alike. We find no distinct repeated patterns in the case of earthquakes that happen in the same region in different years. We conclude that earthquakes do not have a significant effect on detected LST anomalies.Remote Sens. 2019, 11, 61 2 of 25 in [25]). Furthermore, anomalies are often found to relate to atmospheric influences and artefacts due to data processing [26].The objective of this study is to make use of the advantages provided by geostationary-based LST data and of a recently published methodological approach, in order to examine the presence of thermal anomalies shortly before large, shallow, land-based earthquakes. We consider that an earthquake is large when it has magnitude larger than Mw 5.5 and that an earthquake is shallow when it has focal depth <35 km. We study 20 earthquake cases in 10 study areas around the world, with different local environmental and climatic conditions. We apply a methodology which suppresses large-scale patterns in the satellite signal time series and isolates only spatially localized fluctuations [27]. This methodology allows to constrain the spatial extent of detected anomalies and the time of their occurrence. Thermal anomalies may appear for a variety of reasons other than earthquakes, including spatiotemporal variations of surface spectral emissivity [28] and local atmospheric conditions, like atmospheric inversions [29]. We therefore test the hypothesis that more anomalies would be detected at closer distances to the earthquake, shortly prior or during the earthquake, and only in years with earthquake occurrence. This hypothesis is supported by published research [30], concluding that anomalies increase with increasing earthquake magnitude; anomalies are found predominantly near the epicenter, one day before and on the day of the earthquake; and anomalies are more easily observed during shallow earthquakes than the deep ones. We statistically evaluate our findings, taking into account the spatial and temporal occurrence of detected anomalies and earthquakes. Materials and Methods Input DataResearch suggests that the use of satellite-derived land surface temperature (LST) data can provide significant advantages in this field of study [6,31,32]. LST products are esti...

show abstract

Thermal IR satellite data application for earthquake research in Pakistan

Cited by 27 publications

References 45 publications

Analysis of Earthquake Emergency Command System According to Cloud Computing Methods

Analysis of Earthquake Emergency Command System According to Cloud Computing Methods

Space-Based Earth Observations for Disaster Risk Management

Time Series Analysis of Land Surface Temperatures in 20 Earthquake Cases Worldwide

Contact Info

Product

Resources

About