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A multi-sensor approach analysing
atmospheric signals for possible earthquake
precursors: application
of remote sensing for disaster management
Dimitar Ouzounov, Shahid Habib, NASA Goddard Space Flight Center;
Stephen D. Ambrose, NASA Headquarters, Applied Sciences Program, Disaster Management
A
new multi-sensor approach for analysing atmospheric
signals and the search for possible earthquake precur-
sors is being studied using science and remote sensing
techniques. The new interdisciplinary approach is still in the
early stages of validation and is based on data fusion of satel-
lite thermal infrared observations from NASA and other
national and international space assets. This technique is used
in conjunction with ground multi-parameter continuous
measurements. The method uses existing satellite sensors and
ground observations in one integrated Sensor Web framework
defined by a Lithosphere-Atmosphere-Ionosphere Coupling
(LAIC) concept.
Initial results of the research show that simultaneous satellite and
ground measurements, using an integrated web of observations,
could provide pre-earthquake alerting capabilities by combining the
information from multiple platforms. The significance of joined satel-
lite electromagnetic (EM) methodology is analysed and demonstrated
in the most recent major earthquakes in Asia – the M7.6 Kashmir
earthquake of 8 October 2005 and the Mw7.8 earthquake of 12 May
2008 in Eastern Sichuan, China.
This work contributes to the implementation strategies of the US
President’s Office of Science Technology and Policy, Subcommittee on
Disaster Reduction Grand Challenges to: “fully explore the
predictability of earthquakes based on testable and credible methods,
and provide objective reviews of predictions.”
1
About once a year a catastrophic earthquake of magnitude 7 (on
the Richter scale) or more strikes somewhere in the world. Such
events claim thousands of lives and cause extensive economic losses.
For example, the 12 May 2008 earthquake in Eastern Sichuan,
China caused widespread devastation with a death toll of well over
75,000 people. The cost to human life of such events is another
indication to the science community that development of an earth-
quake hazard mitigation scheme requires diverse interdisciplinary
efforts; as was suggested in 1995 by the famous seismologist Ari
Ben-Menahem: “Unless we launch a concentrated interdisciplinary
research effort, we shall always be surprised by the next major earth-
quake.”
2
Nevertheless, such events can trigger a cascade of follow-on events
such as tsunamis, floods, landslides and public health catastrophes
in the affected region. Such potential catastrophic
impacts are due to the growth of population, and rapid
development of the technological infrastructure. The
science community and operational agencies are strug-
gling with how to provide early detection of such
climactic events and reduce the loss to human lives and
property.
NASA, the latest review by the panel on Earthquake
Remote Precursor Sensing
3
and others working in this
area have found that there were many cases showing
precursory electromagnetic signals observed on the
ground and space associated with major earthquakes.
Advances in solid earth sciences and remote sensing
capabilities provide strong support to the new interdis-
ciplinary satellite studies of the electromagnetic
environment near to seismic tectonic active faults. The
observational evidence from the last 20 years confirms
the existence of EM phenomena accompanying or
preceding some of the earthquake events. Most recent
studies confirm strong coupling between the atmos-
pheric boundary layer and the ionosphere, which are
strongly related to enhanced tectonic activity.
4
Our latest
experience from several post-earthquake independent
analyses of more than 100 major earthquakes has been
very encouraging, and motivates us to comprehensively
address the problem for more discrete detection of future
magnitude 5.0 (M>5.0) earthquakes.
Discrete observations (temporally, spatially and spec-
trally) are spatially and temporally insufficient in coverage
of any one of these parameters to reliably determine the
earthquake precursor signals. This requires an integrated
set of observations of several physical and environmen-
tal parameters (outgoing long wave earth radiation,
ionospheric parameters, temperature and humidity of the
boundary layer, seismicity, etc.) that can be combined in
a multi-sensor system to identify earthquake precursors.
Traditionally space-based methods for earthquake
study include GPS navigation systems and
Interferometric Synthetic Aperture Radar (InSAR).
These methods measure the slow build-up of deforma-




