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| DOI | 10.1016/j.rsma.2024.103535 |
| Accuracy assessment of global DEMs for the mapping of coastal flooding on a low-lying sandy environment: Cassino Beach, Brazil | |
| 发表日期 | 2024 |
| ISSN | 2352-4855 |
| 起始页码 | 74 |
| 卷号 | 74 |
| 英文摘要 | Projected sea level rise in the 21st century, driven by climate change, threatens low-lying coastal areas with the risk of persistent flooding. Accurately estimating flooding extent and depth is crucial to implementing effective coastal management, with digital elevation models (DEMs) playing a pivotal role. Intrinsic inaccuracies of DEMs might lead to uncertainty in the flooding projections due to SLR scenarios, which are problematic for decisionmakers. This work assessed the accuracy of five global digital elevation models for coastal flooding mapping on a low-lying sandy coastal environment in the south of Brazil (Cassino Beach). Five global DEMs were assessed, namely ALOS-AW3D30, ALOS-PALSAR, ASTER, SRTM, and TanDEM-X, and a high-resolution digital elevation model (created using local aerial vehicle (UAV) imagery) was used as a benchmark. A morphometric comparison was conducted between the five global DEMs and the high-resolution local DEMs. Several statistical metrics were calculated, including the root mean squared error, correlation coefficient, and bias.Additionally, flood depths and extent were computed for different scenarios of sea level rise, and comparisons between the different DEMs were quantified. Results show that among the DEMs evaluated, TanDEM-X DEM achieved the highest correlation with the UAV DEM elevation in the beach and dune region, presenting R2 equal to 0.56 and RMSE equal to 0.88 m. On the other hand, the ALOS-AW3D30, ALOS-PALSAR, ASTER, and SRTM DEMs presented low correlation and RMSE values above 2.49 m. The analysis of coastal flooding extension and depths confirms that the TanDEM-X DEM exhibited the highest similarity with the UAV DEM across various sea level scenarios, and it was the only global DEM analyzed capable of capturing dune depressions and roads, which serve as primary pathways for flooding in the type of coastal region under consideration. |
| 英文关键词 | ASTER; Remote sensing; SRTM; TanDEM-X; UAV |
| 语种 | 英语 |
| WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology |
| WOS类目 | Ecology ; Marine & Freshwater Biology |
| WOS记录号 | WOS:001236689000001 |
| 来源期刊 | REGIONAL STUDIES IN MARINE SCIENCE
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| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/303301 |
| 作者单位 | Universidade Federal do Rio Grande; Universidade Estadual de Mato Grosso do Sul; Universidade Federal de Santa Maria (UFSM) |
| 推荐引用方式 GB/T 7714 | . Accuracy assessment of global DEMs for the mapping of coastal flooding on a low-lying sandy environment: Cassino Beach, Brazil[J],2024,74. |
| APA | (2024).Accuracy assessment of global DEMs for the mapping of coastal flooding on a low-lying sandy environment: Cassino Beach, Brazil.REGIONAL STUDIES IN MARINE SCIENCE,74. |
| MLA | "Accuracy assessment of global DEMs for the mapping of coastal flooding on a low-lying sandy environment: Cassino Beach, Brazil".REGIONAL STUDIES IN MARINE SCIENCE 74(2024). |
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