METHODS
Accepted on 12 Feb 2025
Leveraging ResUnet, Oceanic and Atmospheric Data for Accurate Chlorophyll-a Estimations in the South China Sea
doi 10.3389/fmars.2025.1528921
- Frontiers in Marine Science
- Ocean Observation
- Research Topics
- Remote Sensing Applications in Oceanography with Deep Learning
Remote Sensing Applications in Oceanography with Deep Learning
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Articles
ORIGINAL RESEARCH
Published on 21 Jan 2025
Machine learning-based analysis of sea fog’s spatial and temporal impact on near-miss ship collisions using remote sensing and AIS data
doi 10.3389/fmars.2024.1536363
- 333 views
ORIGINAL RESEARCH
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Oriented ice eddy detection network based on the Sentinel-1 dual-polarization data
doi 10.3389/fmars.2024.1480796
- 213 views
ORIGINAL RESEARCH
Published on 17 Dec 2024
Two-decade variability and trend of chlorophyll-a in the Arabian Sea and Persian Gulf based on reconstructed satellite data
doi 10.3389/fmars.2024.1520775
- 333 views
ORIGINAL RESEARCH
Published on 04 Dec 2024
AB-LSTM: a mesoscale eddy feature prediction method based on an improved Conv-LSTM model
doi 10.3389/fmars.2024.1463531
- 254 views
ORIGINAL RESEARCH
Published on 22 Oct 2024
Development of VIIRS-OLCI chlorophyll-a product for the coastal estuaries
doi 10.3389/fmars.2024.1476425
- 726 views
ORIGINAL RESEARCH
Published on 19 Sep 2024
Optimizing underwater connectivity through multi-attribute decision-making for underwater IoT deployments using remote sensing technologies
doi 10.3389/fmars.2024.1468481
- 924 views
Published in
Frontiers in Marine Science
- Ocean Observation
Participating Journals
Frontiers in Remote Sensing
- 3.4 impact factor
- 3.9 citescore
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