Advancement in bedfast lake ice mapping from Sentinel-1 SAR data

Section 1: Publication

Publication Type

Authorship

Duguay, C., & Wang, J.

Title

Advancement in bedfast lake ice mapping from Sentinel-1 SAR data

Year

2019

Publication Outlet

In IGARSS 2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 6922-6925). IEEE

DOI

https://doi.org/10.1109/IGARSS.2019.8900650

ISBN

ISSN

Citation

Duguay, C., & Wang, J. (2019). Advancement in bedfast lake ice mapping from Sentinel-1 SAR data. In IGARSS 2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 6922-6925). IEEE. https://doi.org/10.1109/IGARSS.2019.8900650

Abstract

Algorithms for the generation of a bedfast/floating lake ice product from Sentinel-1A/B synthetic aperture radar (SAR) data were implemented, cross-compared, and validated for various permafrost regions (Alaska, Canada and Russia). The algorithms consisted of: 1) thresholding; 2) Iteration Region Growing with Semantics (IRGS); and 3) K-means. The thresholding algorithm (92.4%) was found to perform slightly better on average than the IRGS algorithm (90.1%), and to outperform K-means (85.3%). The thresholding algorithm was therefore selected for implementation of a processing chain to generate a novel bedfast/floating lake ice product. Using a time series of Sentinel-1 SAR data, the new map product shows the day of year (DOY) when the ice becomes bedfast or remains afloat for individual lake sections.

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