Chaabani, Chayma; Homayouni, Saeid 
ORCID: https://orcid.org/0000-0002-0214-5356 et Chokmani, Karem ORCID: https://orcid.org/0000-0003-0018-0761
(2023).
Sentinel-1 Sar Image Capabilities For Lake Ice Cover Monitoring.
In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 16-21 juillet 2023, Pasadena, États-Unis.
Résumé
The main goal of this study is to investigate the potential of the Sentinel-1 sensor in accurately mapping different types of freshwater ice. The research was conducted at Saint-Pierre Lake in Quebec, Canada. We used a dataset that included backscatter data and grey level co-occurrence matrix (GLCM) properties. To classify the freshwater ice types, we employed the Fuzzy C-Means (FCM) unsupervised classification scheme. Furthermore, a feature selection analysis was done to identify the most relevant GLCM parameters that could effectively map the different ice types with accuracy. The preliminary findings demonstrate that incorporating both the Sentinel-1 VV polarization band and the GLCM Mean parameter leads to a significant improvement in distinguishing between the different types of ice cover.
| Type de document: | Document issu d'une conférence ou d'un atelier |
|---|---|
| Mots-clés libres: | satellite constellations; European space agency; geoscience and remote sensing; lakes; ice; radar polarimetry; freshwater |
| Centre: | Centre Eau Terre Environnement |
| Date de dépôt: | 19 sept. 2025 20:23 |
| Dernière modification: | 19 sept. 2025 20:23 |
| URI: | https://espace.inrs.ca/id/eprint/16063 |
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