Detecting, Modelling and Responding to Effusive Eruptions

For effusive volcanoes in resource-poor regions, there is a pressing need for a crisis response-chain bridging the global scientific community to allow provision of standard products for timely humanitarian response. As a first step in attaining this need, this Special Publication provides a complete directory of current operational capabilities for monitoring effusive eruptions. This volume also reviews the state-of-the-art in terms of satellite-based volcano hot-spot tracking and lava-flow simulation. These capabilities are demonstrated using case studies taken from well-known effusive events that have occurred worldwide over the last two decades at volcanoes such as Piton de la Fournaise, Etna, Stromboli and Kilauea. We also provide case-type response models implemented at the same volcanoes, as well as the results of a community-wide drill used to test a fully-integrated response focused on an operational hazard-GIS. Finally, the objectives and recommendations of the ‘Risk Evaluation, Detection and Simulation during Effusive Eruption Disasters’ working group are laid out in a statement of community needs by its members.
Enhanced volcanic hot-spot detection using MODIS IR data: results from the MIROVA system
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Published:January 01, 2016
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CiteCitation
D. Coppola, M. Laiolo, C. Cigolini, D. Delle Donne, M. Ripepe, 2016. "Enhanced volcanic hot-spot detection using MODIS IR data: results from the MIROVA system", Detecting, Modelling and Responding to Effusive Eruptions, A. J. L. Harris, T. De Groeve, F. Garel, S. A. Carn
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Abstract
We describe a new volcanic hotspot detection system, named Middle InfraRed Observation of Volcanic Activity (MIROVA), based on the analysis of infrared data acquired by the Moderate Resolution Imaging Spectroradiometer sensor (MODIS). MIROVA uses the middle infrared radiation (MIR), measured by MODIS, in order to detect and measure the heat radiation deriving from volcanic activity. The algorithm combines spectral and spatial principles, allowing the detection of heat sources from 1 megawatt (MW) to more than 10 gigawatt (GW). This provides a unique opportunity to: (i) recognize small-scale variations in thermal output that may precede the onset of effusive activity;...
- algorithms
- automated analysis
- cooling
- data processing
- detection
- Earth Observing System
- effusion
- equations
- eruptions
- Europe
- filters
- geographic information systems
- geologic hazards
- geophysical methods
- geophysical surveys
- heat flow
- hot spots
- image analysis
- information management
- information systems
- information technology
- infrared spectra
- Italy
- lava flows
- Lipari Islands
- magmas
- MODIS
- monitoring
- Mount Etna
- natural hazards
- orbital observations
- pixels
- remote sensing
- satellite methods
- Sicily Italy
- Southern Europe
- spatial data
- spectra
- spectral analysis
- statistical analysis
- Stromboli
- surface properties
- surveys
- temperature
- thermal anomalies
- thermal emission
- time series analysis
- uncertainty
- volcanism
- volcanoes
- granules
- near-real-time methods
- MIROVA