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基于归一化植被指数变化分级的深圳市植被变化

李一静1,2;曾辉1,2;魏建兵2   

  1. 1北京大学环境学院生态学系, 北京 100871;2北京大学深圳
    研究生院城市人居环境科学与技术重点实验室, 广东深圳 518055
  • 收稿日期:2007-07-09 修回日期:1900-01-01 出版日期:2008-05-20 发布日期:2008-05-20

Vegetation change in Shenzhen City based on NDVI change classification.

LI Yijing1,2;ZENG Hui1,2;WEI Jian-bing2   

  1. 1Department of Ecology, College of Environmental Sciences, Peking Unive
    rsity, Beijing 100871, China;2College of Environmental and Urban Sciences
    , Shenzhen Graduate School of Peking University, Shenzhen 518055, Guangdong, China
  • Received:2007-07-09 Revised:1900-01-01 Online:2008-05-20 Published:2008-05-20

摘要: 基于深圳市1988和2003年的TM遥感数据及2004年土地利用变更调查资料,利用归一化植被指数(NDVI)变化分级方法对深圳市植被覆盖变化及与其相关的自然和社会经济因子之间的响应关系进行了分析.结果表明:1988—2003年间,快速城市化过程对深圳地区地表植被没有产生整体性影响,但平原台地地区的植被退化较明显;深圳市局部地区生态退化的主要原因是建设用地侵占林地和园地、海拔100 m以上区域林地向园地的转移、以及部分建设用地绿化率过低.今后深圳市植被保护和建设工作的重点主要包括:强化植被保护和恢复工作;尽可能避免建设用地侵占林地和园地等植被覆盖较好的区域;尽快纠正海拔100 m以上不合理的园地建设行为;强化城市内部的绿地建设.NDVI指数变化分级方法是揭示大尺度区域植被宏观变化趋势的有效方法,可有效避免数据噪声对NDVI指数的影响.

关键词: 生态敏感性评价, CA-Markov, 南昌市, 城市开发边界

Abstract: Based on the TM images of 1988 and 2003 as well as the land-use change survey data in 2004, the vegetation change in Shenzhen City was assessed by a NDVI (normalized difference vegetation index) change classification method, and the impacts from natural and social constraining factors were conalyzed. The results showed that as a whole, the rapid urbanization in 1988-2003 had less impact on the vegetation cover in the City, but in its plain areas with low altitude, the vegetation cover degraded more obviously. The main causes of the localized ecological degradation were the invasion of built-ups to woods and orchards, land transformation from woods to orchards at the altitude of above 100 m, and low percentage of green land in some built-ups areas. In the future, the protection and construction of vegetation in Shenzhen should focus on strengthening the protection and restoration of remnant woods, trying to avoid the built-ups’ expansion to woods and orchards where are better vegetation-covered, rectifying the unreasonable orchard onstructions at the altitude of above 100 m, and consolidating the greenbelt construction inside the built-ups. It was considered that the NDVI change classification method could work well in efficiently uncovering the trend of macroscale vegetation change, and avoiding the effect of random noise in data.

Key words: ecological sensitivity evaluation, urban development boundary, Nanchang City, CA-Markov