基于多时相遥感影像分析的城市土地利用/覆盖变化与热环境演变--以徐州市为例

以1987,1994,2000和2005年共4期的Landsat TM遥感影像为数据源,利用先进的决策树分类法获取徐州市土地利用/覆盖信息,通过单通道算法反演地表亮温获取城市热场分布与热环境变化信息,采用土壤调节植被指数SAVI定量描述研究区植被覆盖变化,并综合采用这些信息对城市热环境演变与城市扩展、植被覆盖变化的关系进行了综合分析.结果表明,利用Landsat TM数据结合决策树分类方法,是获取土地覆盖/利用的有效方法.通过计算地表辐射亮温来研究城市热环境变化是合适的,SAVI等因子与城市热环境显著相关,能够有效地定量描述城市扩展及其生态环境响应.研究结果可服务于城市环境保护与人居环境改善.

Relationship Between Land Use/Cover Change and Urban Thermal Environment Evolution--Taking Xuzhou City as an Example

Using Landsat TM remotely sensed images captured in 1987,1994,2000,and 2005 as data source,land use/cover change(LUCC) information of Xuzhou City is obtained by decision-tree classification,urban thermal area distribution and thermal environment change are described by land surface temperature which is retrieved through mon-window arithmetic from thermal infrared bands,and then vegetation coverage change is quantitatively depicted by soil adjusted vegetation index(SAVI).Based on information on land cover,land surface temperature,and vegetation coverage,the relationships among vegetation coverage,urban expansion,and urban thermal environment change are comprehensively analyzed.Results show that using decision-tree algorithm is an effective method to obtain the data on land use and land cover.It is appropriate to use land surface radiance bright temperature for the analysis of urban heat environment change.The factors such as SAVI are significantly correlated with urban heat environment and can be used to quantitatively describe urban expansion and eco-environmental response.Research outcomes can be used for the protection of urban environment and the optimization of urban human settlement.