Spatio-Temporal Analysis of Impervious Surface Expansion in the Qinhuai River Basin, China, 1988-2017
Spatio-Temporal Analysis of Impervious Surface Expansion in the Qinhuai River Basin, China, 1988-2017
复制标题
1988-2017年中国秦淮河流域不透水面扩张时空分析
DOI：
10.3390/rs13224494
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发表时间：
2021-11-01
期刊：
影响因子：
5
通讯作者：
Li, Maohua
中科院分区：
文献类型：
--
作者：
Wang, Shanshan;Pu, Yingxia;Li, Maohua
不透水表面是城市化监测和流域退化评估的关键指标。然而，大多数经验研究仅从空间、时间或光谱角度提取不透水面，较少关注集成多个维度来获取不透水面的连续变化。在这项研究中，我们提出了一个基于邻域的时空滤波器（NSTF），以获得不透水面的连续变化信息，从多时相Landsat图像在秦淮河流域（QRB），江苏，中国从1988-2017年，基于半自动决策树分类的结果。此外，我们使用扩展强度指数（EII）和景观延伸指数（LEI），以进一步表征不透水面在不同的空间尺度上的时空特征。初步结果表明，最终分类的总体准确率约为95%，kappa系数在0.9和0.96之间。QRB经历了快速的城市化，不透水面的百分比从1988年的2.72%增加到2017年的25.6%。自2006年以来，城市化扩展的中心从南京和江宁的城市建成区向江宁，丽水和句容的非城市建成区扩展。在不同的景观扩展类型中，边缘扩展平均占73%，远远超过外围（12%）和填充（15%）。NSTF中的窗口大小对后续分析有直接影响。研究成果可为类似流域的城市规划和发展提供决策参考。
Impervious surfaces are key indicators for urbanization monitoring and watershed degradation assessment over space and time. However, most empirical studies only extracted impervious surface from spatial, temporal or spectral perspectives, paying less attention to integrating multiple dimensions in acquiring continuous changes in impervious surfaces. In this study, we proposed a neighborhood-based spatio-temporal filter (NSTF) to obtain the continuous change information of impervious surfaces from multi-temporal Landsat images in the Qinhuai River Basin (QRB), Jiangsu, China from 1988-2017, based on the results from semi-automatic decision tree classification. Moreover, we used the expansion intensity index (EII) and the landscape extension index (LEI) to further characterize the spatio-temporal characteristics of impervious surfaces on different spatial scales. The preliminary results showed that the overall accuracies of the final classification were about 95%, with the kappa coefficients ranging between 0.9 and 0.96. The QRB underwent rapid urbanization with the percentage of the impervious surfaces increasing from 2.72% in 1988 to 25.6% in 2017. Since 2006, the center of urbanization expansion was shaped from the urban built-up areas of Nanjing and Jiangning to non-urban built-up areas of the Jiangning, Lishui, and Jurong districts. The edge expansion occupied 73% on average among the different landscape expansion types, greatly beyond outlying (12%) and infilling (15%). The window size in the NSTF has a direct impact on the subsequent analysis. Our research could provide decision-making references for future urban planning and development in the similar basins.