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Assessment and prediction of natural hazards from satellite imagery

Department of Geography, University of California, Los Angeles 90095, USA, tg{at}geog.ucla.edu

Jasmine Chu

Department of Geography, University of California, Los Angeles 90095, USA

Elizabeth Frankenberg

Department of Sociology, University of California, Los Angeles 90095, USA

Duncan Thomas

Department of Economics, University of California, Los Angeles 90095, USA

Since 2000, there have been a number of spaceborne satellites that have changed the way we assess and predict natural hazards. These satellites are able to quantify physical geographic phenomena associated with the movements of the earth's surface (earthquakes, mass movements), water (floods, tsunamis, storms), and fire (wildfires). Most of these satellites contain active or passive sensors that can be utilized by the scientific community for the remote sensing of natural hazards over a number of spatial and temporal scales. The most useful satellite imagery for the assessment of earthquake damage comes from high-resolution (0.6 m to 1 m pixel size) passive sensors and moderate resolution active sensors that can quantify the vertical and horizontal movement of the earth's surface. High-resolution passive sensors have been used successfully to assess flood damage while predictive maps of flood vulnerability areas are possible based on physical variables collected from passive and active sensors. Recent moderate resolution sensors are able to provide near real-time data on fires and provide quantitative data used in fire behavior models. Limitations currently exist due to atmospheric interference, pixel resolution, and revisit times. However, a number of new microsatellites and constellations of satellites will be launched in the next five years that contain increased resolution (0.5 m to 1 m pixel resolution for active sensors) and revisit times (daily < 2.5 m resolution images from passive sensors) that will significantly improve our ability to assess and predict natural hazards from space.

Key Words: active sensors • earthquakes • fire • floods • natural hazards • passive sensors

Progress in Physical Geography, Vol. 31, No. 5, 459-470 (2007)
DOI: 10.1177/0309133307083296


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