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绘制西西里岛沿海地区十年尺度的土地覆盖动态变化图。

Mapping decadal land cover dynamics in Sicily's coastal regions.

作者信息

Scala Pietro, Toimil Alexandra, Álvarez-Cuesta Moisés, Manno Giorgio, Ciraolo Giuseppe

机构信息

Department of Engineering (DI), University of Palermo, Viale delle Scienze, Bd. 8, Palermo, 90128, Italy.

IHCantabria - Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Isabel Torres 15, Santander, 39011, Spain.

出版信息

Sci Rep. 2024 Sep 27;14(1):22222. doi: 10.1038/s41598-024-73085-5.

Abstract

Coastal zones are dynamic interfaces shaped by the interplay of Land Cover (LC) and Land Use (LU), influenced by both natural processes and anthropogenic activities. Grasping the historical shifts in land is essential for safeguarding coastal benefits such as defense mechanisms, biodiversity conservation, and recreational spaces, alongside enhancing their management. LC and LU products offer a valuable option for monitoring urban development, vegetation coverage, and dry-beach areas. Herein, we present the first study of the spatiotemporal evolution of LC specifically tailored for coastal zones, using the coast of Sicily as an illustration. We used classified satellite imagery from Landsat and Sentinel missions as input for a semantic segmentation model based on deep neural networks. We trained the model with an extensive dataset of coastal images. Our classification and analysis of coastal LC dynamics from 1988 to 2022 provide insights at a high spatiotemporal resolution. We identified key factors driving urban transformation, underscoring the impact of urban expansion on vegetated areas, and explored its correlation with economic and demographic growth. This study includes a multiscale analysis of coastal changes, encompassing long-term trends and seasonal fluctuations across Sicilian beaches. Our findings can contribute to preserve coastal areas by informing policymaking aimed at sustainable management.

摘要

海岸带是由土地覆盖(LC)和土地利用(LU)相互作用塑造的动态界面,受自然过程和人为活动的影响。了解土地的历史变化对于保护海岸带的益处至关重要,这些益处包括防御机制、生物多样性保护和休闲空间,同时也有助于加强对它们的管理。土地覆盖和土地利用产品为监测城市发展、植被覆盖和干滩区域提供了一个有价值的选择。在此,我们以西西里岛海岸为例,首次展示了专门针对海岸带的土地覆盖时空演变研究。我们使用了来自陆地卫星和哨兵任务的分类卫星图像作为基于深度神经网络的语义分割模型的输入。我们用大量的海岸图像数据集对该模型进行了训练。我们对1988年至2022年海岸带土地覆盖动态的分类和分析提供了高时空分辨率的见解。我们确定了推动城市转型的关键因素,强调了城市扩张对植被区域的影响,并探讨了其与经济和人口增长的相关性。这项研究包括对海岸变化的多尺度分析,涵盖西西里岛海滩的长期趋势和季节性波动。我们的研究结果可为旨在可持续管理的政策制定提供信息,从而有助于保护沿海地区。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/085f/11436747/319f61992ed6/41598_2024_73085_Fig1_HTML.jpg

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