Proceedings of the First International Conference on Information Science and Electronic Technology

Detection of Sangeang Api Volcano Ash Cloud Based on Remote Sensing Image

Authors
Jiangshan Dong, Chengfan Li, Jingyuan Yin, Junjuan Zhao, Dan Xue
Corresponding Author
Jiangshan Dong
Available Online March 2015.
DOI
https://doi.org/10.2991/iset-15.2015.48How to use a DOI?
Keywords
Remote sensing, Split window light temperature difference, Volcanic ash cloud, Sangeang Api volcano
Abstract
Large-scale volcanic ash clouds can threaten the safety of increasingly prosperous aviation transportation. The current recognition of the ash cloud mainly relies on the remote sensing technology. Taking the moderate resolution imaging spectroradiometer (MODIS) images of Indonesia Sangeang Api volcanic ash clouds as data source on May 30, 2014, this paper put forward the use of split window light temperature for detection of the volcanic ash cloud, which is based on the analysis of the physical properties of volcanic ash cloud and the absorption spectral characteristics in the scope of thermal infrared bands. The result shows that the split window light temperature difference algorithm can effectively identify the spatial distribution of the volcanic ash clouds, and has some potential for applications in improving the effect of the ash cloud recognition and disaster prevention and mitigation.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
First International Conference on Information Science and Electronic Technology (ISET 2015)
Part of series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
978-94-62520-50-9
DOI
https://doi.org/10.2991/iset-15.2015.48How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jiangshan Dong
AU  - Chengfan Li
AU  - Jingyuan Yin
AU  - Junjuan Zhao
AU  - Dan Xue
PY  - 2015/03
DA  - 2015/03
TI  - Detection of Sangeang Api Volcano Ash Cloud Based on Remote Sensing Image
BT  - First International Conference on Information Science and Electronic Technology (ISET 2015)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iset-15.2015.48
DO  - https://doi.org/10.2991/iset-15.2015.48
ID  - Dong2015/03
ER  -