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of a number of major earthquakes with a magnitude greater
than 5.0 and a focal depth of less than 50 km.
NASA analysed data from a number of satellites including:
NASA’s Moderate Resolution Imaging Spectroradiometer
(MODIS) on Terra and Aqua; NASA’s Atmospheric Infrared
Sounder (AIRS) on Aqua; NOAA’s Geostationary Operational
Environmental Satellite (GOES) and Polar Orbiting
Environmental Satellites (POES); the French Centre National
d’Etudes Spatiale’s Detection of Electro-Magnetic Emissions
Transmitted from Earthquake Regions (DEMETER); and ground
observations The rationale for using this ensemble of observa-
tions was sufficient spatial and temporal coverage of precursor
signals to enable correlations to past earthquake events.
Bhuj, India
On 26 January 2001, a magnitude 7.7 earthquake struck Bhuj
(Gujarat), India. The quake occurred during a period of clear
weather, which is ideal for TIR observations. NASA analysed
data fromTerra/MODIS, which observes the Gujarat region
twice a day. As shown in the image above, the main stress was
released along the Katrol Hill and Mainland faults.
4
The time
series in the upper right shows the average land surface temper-
ature (LST) anomaly (departure from average) as measured by
the nighttime overpass of Terra/MODIS from December 2000
to February 2001 as well as a running average that smoothes
out some of the more extreme values – the day of the quake
is shaded in grey. The time series shows that there is a
pronounced and statistically significant positive LST anomaly,
with temperatures running up to 4 degrees Celsius above the
average background values. This anomaly starts five to six days
prior to the quake in the area within 200 km of the epicentre.
5
Shown in the bottom portion of the illustration are a series of
images from Terra/MODIS taken between 18 January and 21
January that show the evolution of the LST anomaly over a
100 km
2
region a few days prior to the quake. The anomalously
high temperature values are observed over this period, and
values return to near normal on 22 January. This kind of
anomaly could be associated with stress-related changes of air
near the ground in response to the release of radon gas and
changing humidity levels. (Water vapour and radon would be
highly absorbed in the 10-11 μm range).
6
Colima, Mexico
On 21 January 2003, a magnitude 7.8 earthquake struck
Colima, Mexico. NASA used a variety of independent data
sources to analyse the atmospheric variations caused by the
quake. For this analysis, we had access to data from MODIS
on both Terra and Aqua – Aqua had not yet launched at the
time of the Gujarat eruption – and we also analysed ground-
based temperature data. The appearance and temporal
evolution of the atmospheric variations are synchronised in
time and demonstrate a similar spatial distribution in all of the
datasets used. Using nighttime emissions from polar orbiting
satellite data, we have analyzed the LST data over 90 days by
means of the 11-12 metre emissivity ratio covering an area of
100 km
2
around the epicentre.
7
The graph illustrates the variations of the nighttime LST for
Terra (curve A) and daytime LST for Aqua (curve B) for the
period from 1 December 2002 up to 1 March 2003 for the
square 100km
2
around the Colima epicentre. Between 15 and
17 January, a pronounced LST increase can be observed for the
area close to the epicentre of the event. To verify the signifi-
grated, interdisciplinary approach is advocated by US seis-
mologist Ari Ben-Menahem, who said: “Unless we launch a
concentrated interdisciplinary effort, we will always be
surprised by the next major earthquake.”
Current scientific research indicates that satellite thermal
imaging data has not only revealed stationary (long-lived) thermal
anomalies associated with large linear structures and fault systems
in the Earth’s crust
1
but also transient (short-lived) features prior
to major earthquakes.
2
These short-lived anomalies:
• Typically appear between four and fourteen days before
an earthquake
• Affect regions of several to tens of thousands of square
kilometres
• Display a positive deviation of 2-4 degrees Celsius or more
• Die out a few days after the event.
These anomalies are not simply the result of thermal variations
caused by a heat pulse rising from below the Earth’s crust, as
the speed at which the anomalies appear and disappear is much
more rapid than what is seen with a heat pulse.
Feasibility of space observations for earthquake studies
Observational and scientific evidence collected over the last
20 years confirms that EM phenomena often accompany or
precede earthquake events. Recent studies also confirm that
there is strong coupling between EM activity in the atmos-
pheric boundary layer and the ionosphere – both direct
coupling through EM phenomena and indirect coupling
through tectonically forced vertically propagating gravity waves
that are strongly related to enhanced tectonic activity. The
concept of lithosperic-atmospheric-ionospheric coupling
(LAIC)
3
links increased gas emanations in advance of seismic
activity to a chain of physical processes involving ionisation
of air molecules and plasma chemical reactions in the ionos-
phere. LAIC views the ionosphere as part of the global electric
circuit, and suggests that the ionosphere immediately reacts to
changes in electric properties near the ground. A number of
different spacecraft have detected these kinds of phenomena
from space over the past few decades.
It is unlikely that any single existing method for advance
earthquake detection – for example magnetic field, electric
field, thermal infrared, surface latent heat flux (SLHF), and
global positioning system (GPS)/total electron count (TEC) –
can provide sufficient information to detect potential earth-
quake phenomena from space on a global scale. Rather, the
envisioned solution would bring together a number of differ-
ent satellite Earth observations and ground measurements in
an integrated ‘sensor web’ to provide the information neces-
sary for advance warning of tectonic events.
Using TIR measurements to detect earthquakes
Thermal infrared (TIR) measurements are a possible method
of detecting earthquakes in advance from space. The increased
number of satellite measurements (including a number of
National Aeronautics and Space Administration (NASA) and
National Oceanic and Atmospheric Administration (NOAA)
satellites) of surface temperature at different infrared wave-
lengths in recent years has opened up this ‘thermal brand’ of
detection techniques. TIR surveys gave an indication of the
appearance – from days to weeks before the event – of anom-
alous space-time TIR transients that have been associated with
the location (epicentre and local tectonic structures) and time




