Automatic estimation of volcanic ash plume height using WorldView-2 imagery

David McLaren; David R. Thompson; Ashley G. Davies; Magnus T. Gudmundsson; Steve Chien

doi:10.1117/12.919499

24 May 2012 Automatic estimation of volcanic ash plume height using WorldView-2 imagery

David McLaren, David R. Thompson, Ashley G. Davies, Magnus T. Gudmundsson, Steve Chien

Proceedings Volume 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII; 83901H (2012) https://doi.org/10.1117/12.919499
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

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 Eyjafjallajökull eruption in Iceland. These results show rough agreement with ash plume height estimates from visual and radar based measurements.

Citation Download Citation

David McLaren, David R. Thompson, Ashley G. Davies, Magnus T. Gudmundsson, and Steve Chien "Automatic estimation of volcanic ash plume height using WorldView-2 imagery", Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 83901H (24 May 2012); https://doi.org/10.1117/12.919499

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