Automatic Estimation of Volcanic Ash Plume Height using WorldView-2 Imagery

We explore the use of machine learning, computer vision, and pattern recognition techniques to automatically identify volcanic ash plumes and plume shadows, in WorldView-2 imagery. Using information of the relative position of the sun and spacecraft and terrain information in the form of a digital e...

Full description

Bibliographic Details
Main Authors: McLaren, David, Thompson, David R., Davies, Ashley G., Gudmundsson, Magnus T., Chien, Steve
Format: Other/Unknown Material
Language:unknown
Published: 2012
Subjects:
46
Eyjafjallajokull
Iceland
Online Access:http://ntrs.nasa.gov/search.jsp?R=20130009129
id ftnasantrs:oai:casi.ntrs.nasa.gov:20130009129
record_format openpolar
spelling ftnasantrs:oai:casi.ntrs.nasa.gov:20130009129 2023-05-15T16:48:28+02:00 Automatic Estimation of Volcanic Ash Plume Height using WorldView-2 Imagery McLaren, David Thompson, David R. Davies, Ashley G. Gudmundsson, Magnus T. Chien, Steve Unclassified, Unlimited, Publicly available April 23, 2012 http://ntrs.nasa.gov/search.jsp?R=20130009129 unknown http://ntrs.nasa.gov/search.jsp?R=20130009129 Copyright Other Sources 46 SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII; 23-27 Apr. 2012; Baltimore, MD; United States 2012 ftnasantrs 2013-02-10T00:21:09Z We explore the use of machine learning, computer vision, and pattern recognition techniques to automatically identify volcanic ash plumes and plume shadows, in WorldView-2 imagery. Using information of the relative position of the sun and spacecraft and terrain information in the form of a digital elevation map, classification, the height of the ash plume can also be inferred. We present the results from applying this approach to six scenes acquired on two separate days in April and May of 2010 of the Eyjafjallajokull eruption in Iceland. These results show rough agreement with ash plume height estimates from visual and radar based measurements. Other/Unknown Material Iceland NASA Technical Reports Server (NTRS) Eyjafjallajokull ENVELOPE(-19.633,-19.633,63.631,63.631)
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic 46
spellingShingle 46
McLaren, David
Thompson, David R.
Davies, Ashley G.
Gudmundsson, Magnus T.
Chien, Steve
Automatic Estimation of Volcanic Ash Plume Height using WorldView-2 Imagery
topic_facet 46
description We explore the use of machine learning, computer vision, and pattern recognition techniques to automatically identify volcanic ash plumes and plume shadows, in WorldView-2 imagery. Using information of the relative position of the sun and spacecraft and terrain information in the form of a digital elevation map, classification, the height of the ash plume can also be inferred. We present the results from applying this approach to six scenes acquired on two separate days in April and May of 2010 of the Eyjafjallajokull eruption in Iceland. These results show rough agreement with ash plume height estimates from visual and radar based measurements.
format Other/Unknown Material
author McLaren, David
Thompson, David R.
Davies, Ashley G.
Gudmundsson, Magnus T.
Chien, Steve
author_facet McLaren, David
Thompson, David R.
Davies, Ashley G.
Gudmundsson, Magnus T.
Chien, Steve
author_sort McLaren, David
title Automatic Estimation of Volcanic Ash Plume Height using WorldView-2 Imagery
title_short Automatic Estimation of Volcanic Ash Plume Height using WorldView-2 Imagery
title_full Automatic Estimation of Volcanic Ash Plume Height using WorldView-2 Imagery
title_fullStr Automatic Estimation of Volcanic Ash Plume Height using WorldView-2 Imagery
title_full_unstemmed Automatic Estimation of Volcanic Ash Plume Height using WorldView-2 Imagery
title_sort automatic estimation of volcanic ash plume height using worldview-2 imagery
publishDate 2012
url http://ntrs.nasa.gov/search.jsp?R=20130009129
op_coverage Unclassified, Unlimited, Publicly available
long_lat ENVELOPE(-19.633,-19.633,63.631,63.631)
geographic Eyjafjallajokull
geographic_facet Eyjafjallajokull
genre Iceland
genre_facet Iceland
op_source Other Sources
op_relation http://ntrs.nasa.gov/search.jsp?R=20130009129
op_rights Copyright
_version_ 1766038557790568448

Similar Items