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机构地区:[1]北京林业大学水土保持学院,水土保持与荒漠化防治教育部重点实验室 [2]首都师范大学资源环境与旅游学院
出 处:《北京林业大学学报》2009年第5期54-60,共7页Journal of Beijing Forestry University
基 金:国家林业局重点科研项目(2006-69);国家自然科学基金项目(40701183);“十一五”国家科技支撑计划项目(2006BAD09B02、2006BAD03A0201)
摘 要:以北京市为研究区域,以Landsat TM影像为基础数据,定量反演亮度温度(Tb),提取归一化植被指数(NDVI),并利用RS和GIS技术在东北-西南和西北-东南方向构建多个特征剖面,探讨Tb与NDVI的关系在空间上的分布规律。结果表明:①除了在西北-东南方向的76、78、80、82km处剖面外,其他剖面上Tb和NDVI存在明显的负相关关系。②剖面上Tb与NDVI相关性的显著程度呈现由中心剖面向边缘剖面递减的格局。③剖面上Tb与NDVI相关性的显著程度受下垫面土地利用结构的复杂程度影响,土地利用结构越复杂,特征剖面上Tb与NDVI的相关性越显著。研究结果较好地揭示了植被与温度相关性的空间分布规律,可为北京市未来的城市、绿地等规划提供科学依据。In this paper, brightness temperature ( Tb ) and normalized difference vegetation index (NDVI) were quantitatively derived from Landsat TM images of Beijing. Feature profiles of Tb and NDVI were drawn in the directions of NE-SW and NW-SE using the technologies of RS and GIS. Laws of spatial distribution of the relationship between Tb and NDVI were discussed. The results showed that: 1 ) there was a significant negative correlation between Tb and NDVI in both directions except the profiles of 76, 78, 80 and 82 km in the direction of NW-SE. 2) The less the distance between the other profiles and the central profile was, the stronger the negative correlation between Tb and NDVI was. 3 ) The relationship between Tb and NDVI was affected by the complexity of land use structures. The more complex the land use structure was, the stronger the relationship between Tb and NDVI of feature profile was. This paper effectively reveals the spatial correlations between vegetation and temperature, and thus can provide certain scientific support for Beijing's urban and greenland planning in the future.
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