摘要
在利用Landsat ETM+遥感数据提取的4种信息指数的基础上,采用决策树方法,对福州市土地利用/覆被进行分类,并运用辐射传输方程算法反演了地表温度,进而对研究区城市热岛的空间分布特征及其与土地利用/覆盖类型的关系进行定量研究.结果表明,福州市存在热岛效应,热岛空间分布与城市建成区轮廓基本一致;城市建筑用地和裸地对地表温度的贡献最大,是城市热岛的主要贡献因素,而水体和林草地具有较好的降温作用;不同土地利用/覆盖类型的地表温度存在较大差异,并且地表温度与反映土地利用/覆盖类型的4种指数在一定范围内具有明显的相关性.
Landsat ETM＋ image was selected to extract four indices, including SAVI （Soil Adjusted Vegetation Index）, MNDWI （Modified Normalized Difference Water Index）, NDBI （Normalized Difference Built--up Index） and NDBaI （Normalized Difference bareness Index）. Based on these indices, land use/cover types were classified through decision tree method. After that, the radl.ative transfer equation algorithm was adapted to retrieve surface temperature in Fuzhou to explore the spatial distribution of urban heat island and its relationship between land use/cover types of study area. Results show that higher temperature was located with a scattered pattern, which was related to certain land use/cover type. Contracture land and bareness land make the main contribute to urban heat island while the water and vegetation have a good effect of cooling down the temperature. There is a big difference of surface temperature among different land use/cover types. It was found that correlations between SAVI, MNDWI, NDBaI and temperature are negative, but positive correlation is shown between NDBI and temperature.
出处
《福建师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2009年第6期106-113,共8页
Journal of Fujian Normal University：Natural Science Edition
基金
福建省自然科学基金资助项目(D0540001)
地理信息科学教育部重点实验室开放研究基金资助项目(LGISEM0810)
福建省科技计划重点项目(2006Y0008)
关键词
土地利用/覆被
城市热岛
地表温度
相关分析
福州市
land use/cover
urban heat island
land surface temperature
correlation analysis
Fuzhou city
