Identification of Active Areas of Earthquake by Thermal Remote Sensing

Nezammahalleh, M. A.; Noori, Ahad; Afsharmanesh, Hamideh; Pourhosseini, Z.; Rastegar, Abdolmotalleb; Rezai, Hadi; Alavipanah, S K

doi:10.5194/isprsarchives-xl-1-w3-295-2013

Cited by 2 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In land transparent sky earthquake, an anomaly in some parameters perhaps assist to forecast the earthquake such as, usually, negative (perhaps positive) anomaly in air temperature, usually negative (and perhaps positive) anomaly in specific humidity according to mean ± 2σ method. Regards to LST, diverge from 18,19 usually negative (and perhaps positive (Figure 2i, 2w)) anomalies during 20 days before the earthquake. After the earthquake during 10 days, a negative anomaly in both Aqua and Terra LST and specific humidity could be anticipated.…”

Section: Discussionmentioning

confidence: 93%

Multiparameter Spatiotemporal Anomalies with Some of the Strong Earthquakes (M > 6:0) in 2018 around the World

Rasul¹

2019

Preprint

View full text Add to dashboard Cite

One of the most destructive natural disasters is the earthquake which brings enormous risks to humankind. The objective of the current study was to determine the Earthquake’s remote sensing multiparameter (i.e. land surface temperature (LST), air temperature, specific humidity, precipitation and wind speed) spatiotemporal anomaly of many earthquake samples occurred during 2018 around the world. In this research 11 earthquake (M > 6:0) studied (4 samples selected in a land with transparent sky situations, 3 samples in land within cloudy situations and 4 samples in marine earthquakes). The interquartile range (IQR) and mean ± 2σ methods utilized to improve the efficiency of anomalous differences. As a result, based on the IQR method, negative anomaly before the event detected during the daytime in Mexico and during the nighttime in Afghanistan. In addition, a negative outlier of brightness temperature (BT) detected in Alaska before, after and during the event. In contrast, based on IQR and mean ± 2σ positive anomaly detected in precipitation before and after the event in all investigated examples. According to mean ± 2σ, negative anomaly LST, specific humidity, sea surface temperature (SST_100) and wind detected in most examined earthquake samples. In contrast, positive SST_0 anomaly observed in Fiji and Honduras after the earthquake. Our results suggested in marine earthquakes, for earthquake forecasting we can merge a prior negative anomaly in the wind speed and SST_100. Regarding the in land cloudy sky earthquakes, merging anomaly parameters could be the negative prior anomaly in BT, skin temperature, in contrast, a positive anomaly in precipitation. In land transparent sky earthquake, usually negative prior anomalies in air temperature, specific humidity and LST.

show abstract

Section: Discussionmentioning

confidence: 93%

Multiparameter Spatiotemporal Anomalies with Some of the Strong Earthquakes (M > 6:0) in 2018 around the World

Rasul¹

2019

Preprint

View full text Add to dashboard Cite

show abstract

“…4 a-d). Nezammahalleha, et al (2013) and Saraf, et al (2008) found more seismic activity occurred in areas with higher LST in Iran and positive anomaly of LST observed in 23 Indian earthquakes. The current research used daytime and nighttime MODIS LST data.…”

Section: Afghanistan Earthquake On January 31 2018mentioning

confidence: 93%

Land Surface Temperature Anomalies Detection for the Strong Earthquakes in 2018

Rasul

Omar

2020

ARO

View full text Add to dashboard Cite

Earthquake every year leads to human and material losses and unpredictability of it by now makes this natural disaster worsen. The objective of the current study was to determine the anomalies in land surface temperature (LST) in areas affected by earthquakes. In this research, three earthquakes (M >6) were studied. Moderate Resolution Imaging Spectroradiometer Aqua and Terra day and night LST data used from 2003 to 2018. The interquartile range (IQR) and mean ± 2σ methods utilized to select anomalies. As a result, based on the IQR method, no prior and after anomaly detected in selected cases and data. Based on mean ± 2σ, usually positive anomaly occurred during daytime. However, negative (or positive) anomaly occurred during the nighttime before the Mexico and Bolivia earthquakes. During 10 days after the earthquake, sometimes a negative anomaly detected.

show abstract

Identification of Active Areas of Earthquake by Thermal Remote Sensing

Cited by 2 publications

References 18 publications

Multiparameter Spatiotemporal Anomalies with Some of the Strong Earthquakes (M > 6:0) in 2018 around the World

Multiparameter Spatiotemporal Anomalies with Some of the Strong Earthquakes (M > 6:0) in 2018 around the World

Land Surface Temperature Anomalies Detection for the Strong Earthquakes in 2018

Contact Info

Product

Resources

About