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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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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 -