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

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

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。

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,la...