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Lightweight Neural Network for Spatiotemporal Filling of Data Gaps in Sea Surface Temperature Images

Created 19/11/2025

Updated 19/11/2025

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Cloud coverage remains a key issue for researchers working with satellite data. Accurate reconstruction of measurements obstructed by cloud can enhance the usefulness of satellite databases for identifying trends and changes in various environments. In this work, we develop, train and test a bidirectional long short-term memory (BiLSTM) model with a custom temporal penalty layer for filling gaps in sea surface temperature (SST) images acquired by the Himawari- 8 satellite. The proposed model showed strong performance, achieving a per-image MAE of 0.1193◦C and per-image RMSE of 0.0985◦C. Our model is also shown to outperform previous state-of-the-art literature. Overall, this work shows that our BiLSTM algorithm is an effective tool for gapfilling cloud-affected SST data. Citation: S. Baker, Z. Huang and B. Philippa, "Lightweight Neural Network for Spatiotemporal Filling of Data Gaps in Sea Surface Temperature Images," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-10, 2023, Art no. 4204310, doi: 10.1109/TGRS.2023.3273575

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Additional Info

Field Value
Title Lightweight Neural Network for Spatiotemporal Filling of Data Gaps in Sea Surface Temperature Images
Language eng
Licence Not Specified
Landing Page https://data.gov.au/data/en/dataset/63e31d82-5ef0-4458-a874-b2a79bf004c3
Contact Point
Geoscience Australia Data
clientservices@ga.gov.au
Reference Period 08/04/2019
Geospatial Coverage
Map data © OpenStreetMap contributors
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  "type": "Polygon"
}
Data Portal Geoscience Australia

Data Source

This dataset was originally found on Geoscience Australia "Lightweight Neural Network for Spatiotemporal Filling of Data Gaps in Sea Surface Temperature Images". Please visit the source to access the original metadata of the dataset:
https://ecat.ga.gov.au/geonetwork/srv/eng/csw/dataset/lightweight-neural-network-for-spatiotemporal-filling-of-data-gaps-in-sea-surface-temperature-i1