Full text: Technical Commission VIII (B8)

  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
(Instrument Analyseur Plasma), and ISL (Instrument Sonde de 
Langmuir). ICE measures the three components of electric field 
in a frequency range from DC up to 3.5 MHz, IMSC measures 
the three components of magnetic field in ELF and VLF 
frequency ranges, IDP measures ionospheric particles energy 
(electron and proton), IAP measures temperature, density and 
velocity of plasma ions, and ISL measures temperature and 
density of plasma electrons. 
1.2 Thermal anomaly precursor 
Thermal anomaly is an unusual variation in surface temperature 
that occurs around 1-13 days prior to the earthquake with 
abrupt change in the temperature value of the order of 3-7? C or 
more and disappears a few days after the event. Some remote 
sensing satellites can measure the radiations coming from the 
earth in thermal bands and provide useful information prior the 
earthquakes. Due to their suitable temporal and spatial 
resolutions, thermal infrared bands of Aqua-MODIS data have 
been used. 
2. APPLIED METHOD FOR ANOMALY DETECTION 
AND ESTIMATE EARTHQUAKE PARAMETERS 
In order to search for earthquake anomaly from precursor 
variations a reasonable range for precursor regular variations 
must be determined. The median and the inter-quartile range of 
data are utilized to construct their upper and lower bound in 
order to separate seismic anomalies from the background of 
natural variations (Liu et al., 2004). 
The upper and lower bound of the mentioned range can be 
calculated using the following equations: 
X44, 7 M + kX IQR (1) 
Xoy "^ M -kxIQR Q) 
—M 
XQ, XX Xu = —k eDim ck (3) 
IQR 
where X. , Xhigh 0 P M.. IQR and Dx are the 
parameter value, upper bound, lower bound, median value, 
inter-quartile range and differential of x, respectively. 
According to this, if the absolute value of Dx is greater than k, 
(|Dx >k ), the behavior of the relevant parameter (x) is 
regarded as anomalous. According to Eq. (3), 
P = +100x (Dx m k)/ k indicates the percentage of 
parameter change from the undisturbed state. 
The results from our previous studies indicate that Dx value is 
relatively proportional to the earthquake magnitude 
(Akhoondzadeh, 2011). For instance, in large earthquakes with 
a Dx value between 2 and 3, the magnitude value (My) is 
estimated to be around between 7 and 8. The earthquake 
magnitude estimation based on Dx value is shown in Table 1. 
The radius of affected area can be estimated using the 
Dobrovolsky formula: R = J ute , where R is the 
radius of the earthquake preparation zone, and M is the 
earthquake magnitude (Dobrovolsky et al., 1989). 
  
  
  
  
  
  
  
DY value Earthquake 
magnitude 
D X<1 Mw«6 
1<Dx< M ST 
2< Dx <3 My 33 
3< Dx 8<Mw 
  
  
Table 1. Estimation of the earthquake magnitude. 
Based on previous studies related to anomaly detection before 
strong earthquakes mentioned in Table 2, the earthquake 
anomalies may be observed 1 to 13 days prior to the 
earthquake. If Dx value of a given day is greater than a 
predefined threshold then based on the type of precursor, the 
earthquake date is estimated according to the relation 
HF 2.5X0 , (i.e. the fourth column) where 4/ and O are 
the mean and standard deviation of values of the anomaly 
observation day relative to the earthquake day (i.e. the third 
column) (Akhoondzadeh, 2011). 
In order to assess final earthquake parameters (which are date, 
magnitude and radius of the affected area) for each case study, 
using the median and inter-quartile range of earthquake 
parameters obtained from different precursors, the approximate 
bounds of final earthquake parameters are defined. For 
instance, the date of impending earthquake is calculated based 
on M + IQR , where M and IQR are respectively the 
median and inter-quartile range of the predicted values of the 
earthquake date for all precursors (Akhoondzadeh, 2011). 
3. OBSERVATIONS AND CASE STUDIES 
In order to clear up uncertainty to earthquake anomaly 
detection, our study is based on a few types of precursors, 
sensors and case studies. Using visual inspection in seismic 
databases three earthquakes which happened in Samoa Islands, 
Sichuan (China) and Boroujerd (Iran) have been incorporated 
in this analysis. Table 3 indicates some characteristics of these 
earthquakes. 
3.1 Samoa Islands earthquake 
In Samoa Islands, the largest earthquake so far, took place at 
06:48:11 LT on 29 Sep 2009 with a Magnitude M,,=8.1. Table 
4 illustrates the observed earthquake precursors concerning 
Samoa earthquake. 
As shown in Table 4 strong enhancement of TEC anomaly can 
be seen during several time intervals (Akhoondzadeh et al., 
2010a). 
  
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