Automatic volcanic ash detection from MODIS observations using  a back-propagation neural network

Gray, T. M.; Bennartz, R.

doi:https://doi.org/10.5194/amt-8-5089-2015

Articles | Volume 8, issue 12

https://doi.org/10.5194/amt-8-5089-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-8-5089-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 12

Research article

|

08 Dec 2015

Research article |

| 08 Dec 2015

Automatic volcanic ash detection from MODIS observations using a back-propagation neural network

T. M. Gray and R. Bennartz

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Final revised paper (published on 08 Dec 2015)
Supplement to the final revised paper
Preprint (discussion started on 19 Aug 2015)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C2658: 'Referee comment', Anonymous Referee #2, 21 Aug 2015
- AC C3766: 'Reply to Reviewer #2 Comment from Aug 21st, 2015', Ralf Bennartz, 07 Nov 2015
RC C2785: 'Full Review -- Automatic Volcanic Ash Detection from MODIS Observations using a Back-Propagation Neural Network', Anonymous Referee #2, 31 Aug 2015
- AC C3767: 'Reply to Reviewer #2 Comment from Aug 31st, 2015', Ralf Bennartz, 07 Nov 2015
RC C2888: 'Review of “Automatic volcanic ash detection from MODIS observation using a back-propagation neural network” of T.M. Gray and R. Bennartz', Anonymous Referee #1, 09 Sep 2015
- AC C3771: 'Reply to Reviewer #1 comments dated Sep 9, 2015', Ralf Bennartz, 07 Nov 2015

Short summary

Volcanic ash poses a serious threat to aircraft traffic. A simple neural-network based technique was developed to detect volcanic ash from space using satellite infrared observations. A validation study shows promising results for several individual case studies. Issues remain near the edge of the satellite's field of view as well as in situations where ash is mixed with meteorological clouds.