Remote sensing dynamic monitoring and driving factor analysis for the Beijing section of Ming Great Wall
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摘要: 长城文化带经济生态协调发展和文化景观保护是区域社会可持续发展的重要内容。面向大型线性文化遗产一体化监测与评估现实需求,提出了一种集成面向对象变化向量分析和U-net深度学习的遥感动态监测方法; 通过对分类散点噪声的抑制和重点区域环境要素的精准动态刻画,实现了结合社会经济数据与遥感变化检测的文化景观变迁驱动影响因子诠析与信息挖掘。实验以明长城(北京段)为研究对象,使用2015—2020年高分二号(GF-2)2 m分辨率的融合图像,通过多尺度分割、变化向量分析提取、U-net图像分类等方法,对其景观廊道进行地表要素遥感变化检测和土地覆盖变化矩阵定量分析。结果表明: 明长城(北京段)文化带土地覆盖变化率为0.098%,主要表现为裸土、耕地等向林地转化以及人工用地的增加; 同时,文化带生态环境呈正向发展,保护态势整体良好。研究结果可为明长城(北京段)生态环境协调发展和文化景观可持续保护提供技术支持。Abstract: The coordinated economic and ecological development and the cultural landscape preservation of the Great Wall cultural zone are crucial for regional social sustainability. To meet the need for integrated monitoring and evaluation of large-scale linear cultural heritage, this study proposed a remote sensing dynamic monitoring method that integrates object-oriented change vector analysis and U-net deep learning. Based on the suppression of classified scattered noise and the accurate dynamic description of key regional environmental components, this study achieved the interpretation and information mining of the factors driving cultural landscape changes by combining socio-economic data and remote sensing change detection. Building on the 2-m-resolution GF-2 fused images from 2015 to 2020, the Beijing section of Ming Great Wall was examined through remote sensing change detection of surface elements and quantitative analysis of the land cover change matrix for its landscape corridor using methods including multiresolution segmentation, change vector analysis and extraction, and U-net image classification. The study reveals that the land cover along the Beijing section of Ming Great Wall cultural zone yielded a change rate of 0.098%, primarily manifested in the shift from bare land and farmland to forests and the growth of artificial land. Meanwhile, the ecological environment of the cultural zone exhibited positive development and an overall favorable protection state. The research results will provide technical support for the coordinated economic and ecological development and the sustainable preservation of the cultural landscape along the Beijing section of Ming Great Wall.
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Key words:
- Ming Great Wall /
- deep learning /
- change detection /
- land cover change rate /
- spatio-temporal analysis
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