摘要
以2013年4月28日的Landsat8影像为数据源,以安徽省宿州市为研究对象,以ENVI 5.1遥感软件为平台,分别提取宿州市土壤调节植被指数、改进的归一化水体指数、增强型裸土指数和增强的指数型建筑用地指数,然后利用单窗算法对热红外波段(第10波段)影像进行热辐射亮度和地表亮度温度反演,将地表亮度温度归一化处理(值在0~1之间),采用等差级数把宿州市城市热岛效应分为强绿岛区(0~0.2)、绿岛区(0.2~0.4)、正常区(0.4~0.6)、热岛区(0.6~0.8)和强热岛区(0.8~1.0)。在此基础上对城市热岛效应与土壤调节植被指数、改进的归一化水体指数、增强型裸土指数和增强的指数型建筑用地指数进行分析,找出地表亮度温度和这些地表参数间的定量关系。研究结果表明:(1)宿州市建成区的地表亮度温度比相邻郊区高,城市热岛效应显著;(2)城市热岛效应与土壤调节植被指数(SAVI)呈负相关;(3)城市热岛效应与增强型裸土指数(EBSI)呈正相关;(4)城市热岛效应与改进的归一化水体指数(MNDWI)呈负相关,适度增加水体面积对抑制城市热岛效应具有一定的积极作用;(5)城市热岛效应与增强的指数型建筑用地指数(EIBI)呈正相关。
Using the Landsat-8 on 28 th, April 2013 as the data source, choosing Suzhou City in Anhui Province as the research region and the ENVI 5.1 as the platform, the EIBI(enhanced index-based built-up index), SAVI(soil adjusted vegetation index), EBSI(enhanced bare soil index) and MNDWI(modified normalized difference water index)were extracted from the landsat-8 multispectral images. The surface brightness temperature and thermal radiation brightness temperature were inverted from the thermal infrared band image by the mono-window algorithm method,and the surface brightness temperature was normalized. According to the arithmetic progression, the urban heat island effect in Suzhou City was divided into strong heat island zone, heat island zone, normal zone, green island zone and strong green island zone. Analyzing the urban heat island effect and the indices of the EIBI(enhanced index-based built-up index), SAVI(soil adjusted vegetation index), EBSI(enhanced bare soil index) and MNDWI(modified normalized difference water index), we found out the quantitative relationship between the surface brightness temperature and these parameters. The results showed that firstly, brightness temperature of the built-up area in Suzhou was higher than the adjacent suburbs, and the urban heat island effect was significant. Secondly, the urban heat island effect and soil adjusted vegetation index(SAVI) was negatively correlated. Thirdly, the urban heat island effect and enhanced bare soil index(EBSI) were positively correlated. Fourthly, the urban heat island effect and modified normalized difference water index(MNDWI) were negatively correlated, and increasing the water area appropriately could have a positive effect on alleviating the urban heat island effect. Finally, the urban heat island effect and enhanced index-based built-up index(EIBI) were positively correlated.
出处
《土壤通报》
CAS
CSCD
北大核心
2014年第5期1241-1246,共6页
Chinese Journal of Soil Science
基金
宿州学院科研平台项目(2012YKF12)
自然灾害过程与防控研究安徽省重点实验室开放基金项目(ZH201307)
安徽省质量工程项目(教高[2008]4号24)
安徽省精品资源共享课程(2013gxk097)
安徽省"十二五"规划教材(2013ghjc285)资助
