Automating Hyperspectral Data for Rapid Response in Volcanic Emergencies
In a volcanic emergency, time is of the essence. It is vital to quantify eruption parameters (thermal emission, effusion rate, location of activity) and distribute this information as quickly as possible to decision-makers in order to enable effective evaluation of eruption-related risk and hazard....
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ftnasantrs:oai:casi.ntrs.nasa.gov:20140001460 2023-05-15T16:50:56+02:00 Automating Hyperspectral Data for Rapid Response in Volcanic Emergencies Chien, Steve A. Doubleday, Joshua R. Davies, Ashley G. Unclassified, Unlimited, Publicly available September 2013 application/pdf http://hdl.handle.net/2060/20140001460 unknown Document ID: 20140001460 http://hdl.handle.net/2060/20140001460 No Copyright CASI Computer Programming and Software NPO-48123 NASA Tech Briefs, September 2013; 37-38 2013 ftnasantrs 2019-08-31T23:09:59Z In a volcanic emergency, time is of the essence. It is vital to quantify eruption parameters (thermal emission, effusion rate, location of activity) and distribute this information as quickly as possible to decision-makers in order to enable effective evaluation of eruption-related risk and hazard. The goal of this work was to automate and streamline processing of spacecraft hyperspectral data, automate product generation, and automate distribution of products. Visible and Short-Wave Infrared Images of volcanic eruption in Iceland in May 2010." class="caption" align="right">The software rapidly processes hyperspectral data, correcting for incident sunlight where necessary, and atmospheric transmission; detects thermally anomalous pixels; fits data with model black-body thermal emission spectra to determine radiant flux; calculates atmospheric convection thermal removal; and then calculates total heat loss. From these results, an estimation of effusion rate is made. Maps are generated of thermal emission and location (see figure). Products are posted online, and relevant parties notified. Effusion rate data are added to historical record and plotted to identify spikes in activity for persistently active eruptions. The entire process from start to end is autonomous. Future spacecraft, especially those in deep space, can react to detection of transient processes without the need to communicate with Earth, thus increasing science return. Terrestrially, this removes the need for human intervention. Other/Unknown Material Iceland NASA Technical Reports Server (NTRS) |
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NASA Technical Reports Server (NTRS) |
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ftnasantrs |
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Computer Programming and Software |
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Computer Programming and Software Chien, Steve A. Doubleday, Joshua R. Davies, Ashley G. Automating Hyperspectral Data for Rapid Response in Volcanic Emergencies |
topic_facet |
Computer Programming and Software |
description |
In a volcanic emergency, time is of the essence. It is vital to quantify eruption parameters (thermal emission, effusion rate, location of activity) and distribute this information as quickly as possible to decision-makers in order to enable effective evaluation of eruption-related risk and hazard. The goal of this work was to automate and streamline processing of spacecraft hyperspectral data, automate product generation, and automate distribution of products. Visible and Short-Wave Infrared Images of volcanic eruption in Iceland in May 2010." class="caption" align="right">The software rapidly processes hyperspectral data, correcting for incident sunlight where necessary, and atmospheric transmission; detects thermally anomalous pixels; fits data with model black-body thermal emission spectra to determine radiant flux; calculates atmospheric convection thermal removal; and then calculates total heat loss. From these results, an estimation of effusion rate is made. Maps are generated of thermal emission and location (see figure). Products are posted online, and relevant parties notified. Effusion rate data are added to historical record and plotted to identify spikes in activity for persistently active eruptions. The entire process from start to end is autonomous. Future spacecraft, especially those in deep space, can react to detection of transient processes without the need to communicate with Earth, thus increasing science return. Terrestrially, this removes the need for human intervention. |
format |
Other/Unknown Material |
author |
Chien, Steve A. Doubleday, Joshua R. Davies, Ashley G. |
author_facet |
Chien, Steve A. Doubleday, Joshua R. Davies, Ashley G. |
author_sort |
Chien, Steve A. |
title |
Automating Hyperspectral Data for Rapid Response in Volcanic Emergencies |
title_short |
Automating Hyperspectral Data for Rapid Response in Volcanic Emergencies |
title_full |
Automating Hyperspectral Data for Rapid Response in Volcanic Emergencies |
title_fullStr |
Automating Hyperspectral Data for Rapid Response in Volcanic Emergencies |
title_full_unstemmed |
Automating Hyperspectral Data for Rapid Response in Volcanic Emergencies |
title_sort |
automating hyperspectral data for rapid response in volcanic emergencies |
publishDate |
2013 |
url |
http://hdl.handle.net/2060/20140001460 |
op_coverage |
Unclassified, Unlimited, Publicly available |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
CASI |
op_relation |
Document ID: 20140001460 http://hdl.handle.net/2060/20140001460 |
op_rights |
No Copyright |
_version_ |
1766041041757011968 |