Long-term wetland mapping at 10 m resolution using super-resolution and hierarchical classification – a case study in Jianghan Plain, China
Wetland is a critical and complex ecosystem but highly susceptible to human activities. It has experienced significant change along with the increase of human intervention since decades ago. Currently, remote sensing-based mapping is believed an effective method for monitoring wetland changes. Howev...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-08-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2498605 |
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| Summary: | Wetland is a critical and complex ecosystem but highly susceptible to human activities. It has experienced significant change along with the increase of human intervention since decades ago. Currently, remote sensing-based mapping is believed an effective method for monitoring wetland changes. However, long-term wetland mapping is difficult due to poor historical data quality and wetland complexity, resulting in the triangular contradiction of long-term, high-resolution, and comprehensive classification systems. To address these challenges, we first modified the single-image-super-resolution method Residual Channel Attention Network (RCAN) and combined it with the famous spatiotemporal fusion model STARFM to enhance the Landsat images to 10 m resolution, which enabled more wetland objects to be identified. Then we extracted water bodies using UNet and classified them by object-based shape indices. Next, we applied recursive feature elimination and random forest classifier to map vegetated wetlands. Our overall classification accuracy reached 85.65%. We observed that the wetland in Jianghan Plain expanded significantly since 2000, with ponds showing the most notable growth rate (>114.04%). Aquatic crops make up a large portion of the wetland area, remaining stable with slow growth since 2000, while lake and surrounding herbaceous wetland restoration has shown notable progress in recent years. |
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| ISSN: | 1753-8947 1753-8955 |