GIScience & Remote Sensing· 2026Q1
Deep learning detection of submesoscale eddies from MODIS SST in the South China Sea
- 1citations
- Q1SCImago
- 2026year
Short summary
A dataset of submesoscale eddies in the South China Sea (2015-2024) identified from MODIS SST imagery using deep learning.
AI-generated from the title and abstract; the full text is not read.
Key points
- Dataset covers submesoscale eddies in the South China Sea from 2015 to 2024.
- Eddies identified from MODIS Aqua and Terra sea surface temperature (SST) imagery.
- Data includes eddy polarity, center coordinates (longitude, latitude), and diameter.
- Records are provided as daily TXT files.
AI-generated from the title and abstract; the full text is not read.
Abstract
This dataset provides daily records of submesoscale eddies in the South China Sea from 2015 to 2024, identified from MODIS Aqua and Terra sea surface temperature (SST) imagery. Distributed as daily TXT files, each record includes eddy polarity, center coordinates (longitude and latitude), and eddy diameter.
The authors' abstract, as published at the source. GIScience & Remote Sensing, 2026 · DOI ↗
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OceanographyEarth and Planetary Sciences