Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

Study on IR Bright Temperature with NOAA Data in Shanghai

Authors
Jun-Juan Zhao, Meng Yuan, Yan-Li Guo, Cheng-Fan Li, Yin-Jing Yuan
Corresponding Author
Jun-Juan Zhao
Available Online November 2016.
DOI
https://doi.org/10.2991/ceis-16.2016.12How to use a DOI?
Keywords
remote sensing; NOAA; thermal infrared brightness temperature; seismic precursory
Abstract
Infrared brightness temperature is a key index in the field of seismic precursory. However, it isn't received the attention of the professional field because of the limitations of data sources. With the development of remote sensing technology, more and more thermal infrared remote sensing data is obtained. In the paper, in order to study a new method of seismic precursory, we use AVHRR from NOAA satellite to compute Ten-day background field of brightness temperature in Shanghai area
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering and Information Systems
Part of series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-283-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/ceis-16.2016.12How 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  - Jun-Juan Zhao
AU  - Meng Yuan
AU  - Yan-Li Guo
AU  - Cheng-Fan Li
AU  - Yin-Jing Yuan
PY  - 2016/11
DA  - 2016/11
TI  - Study on IR Bright Temperature with NOAA Data in Shanghai
BT  - 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.12
DO  - https://doi.org/10.2991/ceis-16.2016.12
ID  - Zhao2016/11
ER  -