(Online First)Applying high-resolution visible imagery to satellite melt pond fraction retrieval: A neural network approach

© 2023 by the Author(s). Licensee Whioce Publishing, USA. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )

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Abstract

During summer, melt ponds have a significant influence on Arctic sea-ice albedo. The melt pond fraction (MPF) also has the ability to forecast the Arctic sea-ice in a certain period. It is important to retrieve accurate melt pond fraction (MPF) from satellite data for Arctic research. This paper proposes a satellite MPF retrieval model based on the multi-layer neural network, named MPF-NN. Our model uses multi-spectral satellite data as model input and MPF information from multi-site and multi-period visible imagery as prior knowledge for modeling. It can effectively model melt ponds evolution of different regions and periods over the Arctic. Evaluation results show that the MPF retrieved from MODIS data using the proposed model has an RMSE of 3.91% and a correlation coefficient of 0.73. The seasonal distribution of MPF is also consistent with previous results.

Keywords

Multi-layer neural network

high-resolution imagery

melt pond fraction

References

1. Fetterer, F., & Untersteiner, N. (1998). Observations of melt ponds on Arctic sea ice. Journal of Geophysical Research, 103(24), 821–24.
2. Perovich, D., Grenfell, T., Light, B., et al. (2002). Seasonal evolution of the albedo of multiyear Arctic sea ice. Journal of Geophysical Research: Oceans, 107(C10).
3. Polashenski, C., Perovich, D., & Courville, Z. (2012). The mechanisms of sea ice melt pond formation and evolution. Journal of Geophysical Research: Oceans, 117(C1).
4. Perovich, D., Tucker, W., & Ligett, K. (2002). Aerial observations of the evolution of ice surface conditions during summer. Journal of Geophysical Research: Oceans, 107(C10).
5. Flocco, D., Feltham, D. L., & Turner, A. K. (2010). Incorporation of a physically based melt pond scheme into the sea ice component of a climate model. Journal of Geophysical Research: Oceans, 115(C8).
6. Flocco, D., Schroeder, D., Feltham, D. L., et al. (2012). Impact of melt ponds on Arctic sea ice simulations from 1990 to 2007. Journal of Geophysical Research: Oceans, 117(C9).
7. Schroeder, D., Feltham, D. L., Flocco, D., et al. (2014). September Arctic sea-ice minimum predicted by spring melt-pond fraction. Nature Climate Change, 4(5), 353–357.
8. Tanaka, Y., Tateyama, K., Kameda, T., et al. (2016). Estimation of melt pond fraction over high-concentration Arctic sea ice using AMSR-E passive microwave data. Journal of Geophysical Research: Oceans, 121(9), 7056–7072.
9. Tschudi, M. A., Maslanik, J. A., & Perovich, D. K. (2008). Derivation of melt pond coverage on Arctic sea ice using MODIS observations. Remote Sensing of Environment, 112(5), 2605–2614.
10. Rosel, A., & Kaleschke, L. (2011). Comparison of different retrieval techniques for melt ponds on Arctic sea ice from Landsat and MODIS satellite data. Annals of Glaciology, 52(57), 185–191.
11. Kim, D. J., Hwang, B., Chung, K. H., et al. (2013). Melt pond mapping with high-resolution SAR: The first view. Proceedings of the IEEE, 101(3), 748–758.
12. Makynen, M., Kern, S., Rosel, A., et al. (2014). On the estimation of melt pond fraction on the Arctic sea ice with Envisat WSM images. IEEE Transactions on Geoscience and Remote Sensing, 52(11), 7366–7379.
13. Han, H., Im, J., Kim, M., et al. (2016). Retrieval of melt ponds on Arctic multiyear sea ice in summer from TerraSAR-X dual-polarization data using machine learning approaches: A case study in the Chukchi Sea with mid-incidence angle data. Remote Sensing, 8(1), 57.
14. Rosel, A., Kaleschke, L., & Birnbaum, G. (2012). Melt ponds on Arctic sea ice determined from MODIS satellite data using an artificial neural network. The Cryosphere, 6(2), 431–446.
15. Fetterer, F., Wilds, S., & Sloan, J. (2008). Arctic sea ice melt pond statistics and maps, 1999-2001, version 1. Boulder, Colorado USA: National Snow and Ice Data Center Distributed Active Archive Center.
16. Webster, M. A., Rigor, I. G., Perovich, D. K., et al. (2015). Seasonal evolution of melt ponds on Arctic sea ice. Journal of Geophysical Research: Oceans, 120(9), 5968–5982.
17. Zege, E., Malinka, A., Katsev, I., et al. (2015). Algorithm to retrieve the melt pond fraction and the spectral albedo of Arctic summer ice from satellite optical data. Remote Sensing of Environment, 163, 153–164.

Conflict of interest

The authors declare they have no competing interests.

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