Land Cover Change Detection in Urban Lake Areas Using Multi-Temporary Very High Spatial Resolution Aerial Images
Land Cover Change Detection in Urban Lake Areas Using Multi-Temporary Very High Spatial Resolution Aerial Images
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DOI：
10.3390/w10020001
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发表时间：
2018-01
期刊：
影响因子：
3.4
通讯作者：
Zhang Wenyuan;Tan Guoxin;Song-Yin Zheng;Sun Chuanming;X. Kong;Zhaobin Liu
中科院分区：
文献类型：
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作者：
Zhang Wenyuan;Tan Guoxin;Song-Yin Zheng;Sun Chuanming;X. Kong;Zhaobin Liu
极高空间分辨率（VHR）遥感图像的可用性提供了独特的机会，利用面向对象的图像分析详细的有意义的变化信息。利用1978、1981、1989、1995、2003和2011年的多时相VHR航空影像，研究了武汉沙湖的土地覆盖变化。采用多分辨率分割算法和CART（分类和回归树）分类器对单个图像进行高精度LC分类，同时采用分类后比较方法检测变化。实验表明，在1978-2011年期间，随着城市化进程的加快，城市土地利用率沿着发生了显著变化。在研究区发生的主要变化是湖泊和植被萎缩，取而代之的是高密度的建筑物和道路。33年来，沙湖总面积由7.64 km 2减少到3.60 km 2，面积减少了52.91%。研究结果还表明，城市扩张和立法保护不足是沙湖萎缩的主要因素。本文提出的面向对象的变化检测模式能够更好地了解沙湖的具体空间变化，为湖泊保护和城市发展做出合理的决策。
The availability of very high spatial resolution (VHR) remote sensing imagery provides unique opportunities to exploit meaningful change information in detail with object-oriented image analysis. This study investigated land cover (LC) changes in Shahu Lake of Wuhan using multi-temporal VHR aerial images in the years 1978, 1981, 1989, 1995, 2003, and 2011. A multi-resolution segmentation algorithm and CART (classification and regression trees) classifier were employed to perform highly accurate LC classification of the individual images, while a post-classification comparison method was used to detect changes. The experiments demonstrated that significant changes in LC occurred along with the rapid urbanization during 1978–2011. The dominant changes that took place in the study area were lake and vegetation shrinking, replaced by high density buildings and roads. The total area of Shahu Lake decreased from ~7.64 km2 to ~3.60 km2 during the past 33 years, where 52.91% of its original area was lost. The presented results also indicated that urban expansion and inadequate legislative protection are the main factors in Shahu Lake’s shrinking. The object-oriented change detection schema presented in this manuscript enables us to better understand the specific spatial changes of Shahu Lake, which can be used to make reasonable decisions for lake protection and urban development.