On the possible origin of thermal infrared radiation (TIR) anomalies in earthquake-prone areas observed using robust satellite techniques (RST)

Tramutoli, Valerio; Aliano, C.; Corrado, Rosita; Filizzola, Carolina; Genzano, Nicola; Lisi, Mariano; Martinelli, Giovanni; Pergola, Nicola

doi:10.1016/j.chemgeo.2012.10.042

Cited by 87 publications

(57 citation statements)

References 36 publications

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“…Genzano et al (2010) also studied the 2009 Abruzzo event using different satellite data (5 years of Meteosat Second Generation's Spinning Enhanced Visible and Infrared Instrument (MSG SEVIRI) observations, 15 years of NOAA-AVHRR observations, and 8 years of Earth Observation System (EOS) MODIS observations), but no similar results have been observed (Genzano et al, 2010). In addition to analyz-ing the TIR anomalies for a single earthquake, Tramutoli et al (2013) studied the causes of TIR anomalies -a test over an area affected by variable gas emissions -to determine the correlation between TIR anomalies and seismicity and found that general gas dispersion models and spatial features lend support to the hypothesis of a robust relationship between greenhouse gas emissions and TIR anomalies related to seismic activity (Tramutoli et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

A statistical analysis of TIR anomalies extracted by RSTs in relation to an earthquake in the Sichuan area using MODIS LST data

Zhang

Meng

2019

Nat. Hazards Earth Syst. Sci.

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Abstract. Research in the field of earthquake prediction has a long history, but the inadequacies of traditional approaches to the study of seismic threats have become increasingly evident. Remote sensing and Earth observation technology, an emerging method that can rapidly capture information concerning anomalies associated with seismic activity across a wide geographic area, has for some time been believed to be the key to overcoming the bottleneck in earthquake prediction studies. However, a multi-parametric method appears to be the most promising approach for increasing the reliability and precision of short-term seismic hazard forecasting, and thermal infrared (TIR) anomalies are important earthquake precursors. While several studies have investigated the correlation among TIR anomalies identified by the robust satellite techniques (RSTs) methodology and single earthquakes, few studies have extracted TIR anomalies over a long period within a large study area. Moreover, statistical analyses are required to determine whether TIR anomalies are precursors to earthquakes. In this paper, RST data analysis and the Robust Estimator of TIR Anomalies (RETIRA) index were used to extract the TIR anomalies from 2002 to 2018 in the Sichuan region using Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) data, while the earthquake catalog was used to ascertain the correlation between TIR anomalies and earthquake occurrences. Most TIR anomalies corresponded to earthquakes, and statistical methods were used to verify the correlation between the extracted TIR anomalies and earthquakes. This is the first time that the ability to predict earthquakes has been evaluated based on the positive predictive value (PPV), false discovery rate (FDR), true-positive rate (TPR), and false-negative rate (FNR). The statistical results indicate that the prediction potential of RSTs with use of MODIS is limited with regard to the Sichuan region.

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Section: Introductionmentioning

confidence: 99%

A statistical analysis of TIR anomalies extracted by RSTs in relation to an earthquake in the Sichuan area using MODIS LST data

Zhang

Meng

2019

Nat. Hazards Earth Syst. Sci.

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“…Such anomalies, observed near the place and time of an earthquake, were attributed to different genetic causes like the increase of green-house gas (such as CO 2 , CH 4 ) emission rates (e.g. Qiang et al, 1991;Tronin, 2000;Tramutoli et al, 2001aTramutoli et al, , 2009Tramutoli et al, , 2013, and references therein), the modification of ground water regime (e.g. Hamza, 2001), and more complex phenomena (e.g.…”

Section: Introductionmentioning

confidence: 97%

Reducing atmospheric noise in RST analysis of TIR satellite radiances for earthquakes prone areas satellite monitoring

Lisi

Filizzola

Genzano

et al. 2015

Physics and Chemistry of the Earth, Parts A/B/C

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“…Studies of earthquake problems in the world were especially intensified from the second half of the last century, since alongside theoretical studies it became possible to carry out high level laboratory and satellite experiments [1]- [14].…”

Section: Introductionmentioning

confidence: 99%

Large Earthquake Prediction Methods

Kachakhidze¹,

Kachakhidze-Murphy²,

Khvitia³

et al. 2019

OJER

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At the present time rather diverse and interesting papers are published on the basis of ground-based and satellite data of earth VLF/LF and ULF electromagnetic (EM) emissions observed during earthquake preparation period. These phenomena are detectable both at laboratory and geological scale. Today in some seismic active countries of the world the network for collecting VLF/LF electromagnetic emissions generated during the process of the earthquake preparation has been organized. Permanent monitoring of frequency spectrum of earth VLF/LF electromagnetic emissions might turn out very useful with the view of prediction of large M ≥ 5 inland earthquakes. To prove the prediction capabilities of earth electromagnetic emissions authors have used avalanche-like unstable model of fault formation and an analogous model of electromagnetic contour, synthesis of which, is rather harmonious. According to the opinion of the authors EM emissions observed during earthquake preparation period are more universal and reliable than other earthquake indicators. In the presented paper, the possible methods of the large earthquake prediction are offered on the base of the European Network of Electromagnetic Radiation (INFREP) data existent before Crete earthquake with M = 5.6 (25/05/2016, 08:36:13 UTC) earthquake. Offered methods are capable of simultaneous determination of all three parameters necessary for incoming M ≥ 5 inland large earthquake prediction (magnitude, epicenter and time of occurring) with certain accuracy.

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On the possible origin of thermal infrared radiation (TIR) anomalies in earthquake-prone areas observed using robust satellite techniques (RST)

Cited by 87 publications

References 36 publications

A statistical analysis of TIR anomalies extracted by RSTs in relation to an earthquake in the Sichuan area using MODIS LST data

A statistical analysis of TIR anomalies extracted by RSTs in relation to an earthquake in the Sichuan area using MODIS LST data

Reducing atmospheric noise in RST analysis of TIR satellite radiances for earthquakes prone areas satellite monitoring

Large Earthquake Prediction Methods

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