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薛飞阳, 王鑫, 青玲萱, 等. 2001—2020年成渝地区城市扩展及建成区植被变化[J]. 四川林业科技, 2024, 45(1): 23−32. DOI: 10.12172/202306020002
引用本文: 薛飞阳, 王鑫, 青玲萱, 等. 2001—2020年成渝地区城市扩展及建成区植被变化[J]. 四川林业科技, 2024, 45(1): 23−32. DOI: 10.12172/202306020002
XUE F Y, WANG X, QING L X, et al. Urban expansion and vegetation changes in built-up areas in Chengdu-Chongqing area from 2001 to 2020[J]. Journal of Sichuan Forestry Science and Technology, 2024, 45(1): 23−32. DOI: 10.12172/202306020002
Citation: XUE F Y, WANG X, QING L X, et al. Urban expansion and vegetation changes in built-up areas in Chengdu-Chongqing area from 2001 to 2020[J]. Journal of Sichuan Forestry Science and Technology, 2024, 45(1): 23−32. DOI: 10.12172/202306020002

2001—2020年成渝地区城市扩展及建成区植被变化

Urban expansion and vegetation changes in built-up areas in Chengdu-Chongqing area from 2001 to 2020

  • 摘要: 基于DMSP/OLS、NPP/VIRS夜间灯光数据和SPOT/VEGETATION NDVI数据,研究成渝地区城市建成区的空间发展模式以及植被变化特征,对城市布局的优化、区域生态系统的维护提供参考。采用统计数据比较法提取成渝地区城市建成区边界,从城市扩展特征、速度等方面对城市发展进行分析;并以NDVI作为城市建成区植被状况的指标,从NDVI总和、均值、年际变化率、变化百分率和变异系数等方面对成渝地区2001—2020年建成区植被变化进行研究。结果表明:采用统计数据比较法提取得到的建成区精度较高,误差率在2%以内;城市扩展年均速度呈上升趋势,且在2015—2020年的城市扩展速度为(12.23 km2·a−1);城市建成区NDVI总和随着建成区面积的增加呈先上升后下降趋势,2001—2010年植被状况变好,而2010—2020年间植被开始退化;城市建成区植被状况普遍较背景区差;城市建成区植被稳定性较差,城市变异系数在19年间均有不同程度的增加。

     

    Abstract: Based on DMSP/OLS, NPP/VIRS nighttime lighting data, and SPOT/VEGETATION NDVI data, the spatial development mode and vegetation change characteristics of urban built-up areas in Chengdu-Chongqing area were studied, which provided reference for the optimization of urban layout and the maintenance of regional ecosystem. The boundary of urban built-up area in Chengdu-Chongqing area was extracted by statistical data comparison method, and the urban development was analyzed from the aspects of urban expansion characteristics and speed. Taking NDVI as an indicator of the vegetation status in urban built-up areas, the vegetation changes in Chengdu-Chongqing area from 2001 to 2020 were studied from the aspects of NDVI total, mean, interannual change rate, change percentage, and coefficient of variation. The results showed that the accuracy of the built-up areas extracted using statistical data comparison method was relatively high, and the error rate was less than 2%. The annual average speed of urban expansion was on the rise, and the urban expansion speed from 2015 to 2020 was 12.23 km2·a−1. The total NDVI of urban built-up areas first increased and then decreased with the increase of built-up areas. The vegetation condition improved from 2001 to 2010, but the vegetation began to deteriorate from 2010 to 2020. The vegetation condition in urban built-up areas was generally worse than that in background areas. The vegetation stability in urban built-up areas was poor, and the urban coefficient of variation increased in different degrees over the past 19 years.

     

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