Proceedings of the 3rd 2017 International Conference on Sustainable Development (ICSD 2017)

Detecting Ocean Eddies Automatically from MODIS L1B Data

Authors
Jian Ding, Shuang-Shang Zhang
Corresponding Author
Jian Ding
Available Online July 2017.
DOI
10.2991/icsd-17.2017.1How to use a DOI?
Keywords
MODIS, ocean eddy
Abstract

This study aims at the automatic detection of the ocean eddies from Moderate Resolution Imaging Spectrometer (MODIS) L1B data in the China Seas. First, the sea surface temperature (SST) is estimated from MODIS Aqua/Terra L1B data using the nonlinear IMAPP algorithm. Based on the distribution of SST, the characteristics of ocean eddies such as the position, the size, and the elliptical parameters can be investigated using the multi-scale edge detection technique. The MODIS L1B data can be obtained in near real time, therefore, the automatic near-real-time detection of ocean eddies can be realized.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd 2017 International Conference on Sustainable Development (ICSD 2017)
Series
Advances in Engineering Research
Publication Date
July 2017
ISBN
978-94-6252-380-7
ISSN
2352-5401
DOI
10.2991/icsd-17.2017.1How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jian Ding
AU  - Shuang-Shang Zhang
PY  - 2017/07
DA  - 2017/07
TI  - Detecting Ocean Eddies Automatically from MODIS L1B Data
BT  - Proceedings of the 3rd 2017 International Conference on Sustainable Development (ICSD 2017)
PB  - Atlantis Press
SP  - 1
EP  - 5
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsd-17.2017.1
DO  - 10.2991/icsd-17.2017.1
ID  - Ding2017/07
ER  -