Wetland Hydroperiod Analysis in Alberta Using InSAR Coherence Data

Author:

Amani MeisamORCID,Brisco Brian,Warren RebeccaORCID,DeLancey Evan R.ORCID,Seydi Seyd TeymoorORCID,Poncos ValentinORCID

Abstract

Wetlands are dynamic environments, the water and vegetation of which can change considerably over time. Thus, it is important to investigate the hydroperiod status of wetlands using advanced techniques such as remote sensing technology. Wetland hydroperiod analysis has already been investigated using optical satellite and synthetic aperture radar (SAR) backscattering data. However, interferometric SAR (InSAR) coherence products have rarely been used for wetland hydroperiod mapping. Thus, this study utilized Sentinel-1 coherence maps produced between 2017 and 2020 (48 products) to map the wetland hydroperiod over the entire province of Alberta, Canada. It was observed that a coherence value of 0.45 was an optimum threshold value to discriminate flooded from non-flooded wetlands. Moreover, the results showed that most wetlands were inundated less than 50% of the time over these four years. Furthermore, most wetlands (~40%) were seasonally inundated, and there was a small percentage of wetlands (~5%) that were never flooded. Overall, the results of this study demonstrated the high capability of InSAR coherence products for wetland hydroperiod analysis. Several suggestions are provided to improve the results in future works.

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automated Surface Waters and Hydroperiod Mapping by Means of SAR Sentinel-1 Time Series;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Sentinel-1 and Cosmo-Skymed Data Fusion for Hydroperiod Estimation in a Coastal Wetland Area;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Applying GeoAI for effective large-scale wetland monitoring;Advances in Machine Learning and Image Analysis for GeoAI;2024

4. Comprehensive Landsat-Based Analysis of Long-Term Surface Water Dynamics over Wetlands and Waterbodies in North America;Canadian Journal of Remote Sensing;2023-12-11

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