Full text: XIXth congress (Part B7,3)

Mouginis-Mark, Peter 
  
REMOTE SENSING OBSERVATIONS FOR VOLCANO MONITORING AND HAZARD 
MITIGATION 
Peter J. MOUGINIS-MARK 
University of Hawali, USA 
Hawaii Institute of Geophysics and Planetology 
2525 Correa Road 
Honolulu, Hawaii 96822 USA 
pmm@pgd.hawaii.edu 
Technical Session — IC24-Disaster Mitigation 
Paper Number 520 
KEY WORDS: Volcanoes, Remote Sensing, Hazard Mitigation. 
ABSTRACT 
Volcanic eruptions are spectacular but dangerous phenomena to study on-site, and they present many challenges 
because of the diversity of activity and their remote locations. Indeed, the tragic loss of life at Galeras and Mt. Unzen 
volcanoes in the early 1990s illustrates the dangers associated with studying active volcanoes at close quarters. 
However, much progress has been made in volcano remote sensing during the last decade, and further substantive 
developments are expected over the next few years as several countries fly next-generation spacecraft. In particular, 
NASA's Terra spacecraft wil] provide unprecedented capabilities for volcano monitoring, and a team of 20 remote 
sensing volcanologists have been working for almost a decade to develop algorithms for the routine monitoring of 
active volcanoes. Aircraft data also provide valuable data sets, and serve as experimental test beds for future 
spaceborne topographic and thermal infrared mapping systems. Many parts of the spectrum, from UV to microwave 
wavelengths are now employed to study such phenomena as volcanic ash clouds, the thermal anomalies associated with 
active lava flows and domes, ground deformation due to intrusions. Topographic mapping has also been conducted 
from satellites and aircraft in order to detect surface changes due to erosion of pyroclastic flows or the formation of new 
lava flow fields. This paper reviews many of these methods, drawing upon ERS-2, GOES, Landsat, RADARSAT, 
SPOT and TOPSAR data collected for volcanoes in Hawaii, the Galapagos Islands and the Philippines. The value of 
radar remote sensing observations of volcanoes in remote parts of the world (e.g., South America, Central Africa, and 
Indonesia) will also be described. On-going techniques that permit the near real-time satellite observation of volcanic 
eruptions will be discussed in order to provide a basis for assisting volcano disaster mitigation. 
1 INTRODUCTION 
1.1 Volcanic Hazards 
There are numerous types of volcanic hazards, including 
lava flows, mudflows (called *lahars"), pyroclastic flows, 
and giant eruption clouds (Ti/ling, 1989). Indeed, people 
are at risk not only on the ground, but also in the air since 
jet aircraft are particularly susceptible to failure if ash 
from a volcanic eruption cloud is ingested into the engines 
(Casadevall, 1994a, b). Frequently, field conditions are 
challenging and/or dangerous (Fig. 1), so that there is a 
significant effort underway within the United States, the 
United Kingdom, and Australia to develop remote sensing 
techniques to interpret on-going eruptions (Mouginis-Mark 
et al., 2000a). Often it is in the recovery stage of an 
  
Figure 1. As part of a NASA-funded research project, field work 
eruption ‘where satellite‘ remote sensing data are most has been conducted on Mt. Pinatubo in the Philippines, which 
p 8 had a major eruption in June 1991. Here we see a field party 
helpful to the disaster manager, but it is also important that (people in foreground provide scale) exploring one of the many 
archives of satellite data are developed to allow remote river valleys that were initially buried under pyroclastic flows, 
sensing scientist to aid in disaster mitigation via studies of but have then been eroded by heavy rains to produce major 
the pre- and post-eruption characteristics of the surface. mudflows (“lahars”) that threaten downslope settlements. 
Numerous remote sensing efforts to use imaging radar, SRTM, 
TOPSAR, Landsat and Ikonos data to evaluate the risks in the 
area are underway in the United States and the Philippines. 
  
International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B7. Amsterdam 2000. 905 
 
	        
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