基于ASTER数据源的地表参数关系分析--以福州市为例  

Relationships between Land Surface Temperature and Other Land Surface Parameters based on ASTER:A Case Study in Fuzhou

作　　者：王天星[1] 陈松林[1] 马娅[2] 

机构地区：[1]福建师范大学地理科学学院,福州350007 [2]中国科学院广州地球化学研究所,广州510640

出　　处：《资源科学》2008年第8期1275-1281,共7页Resources Science

基　　金：福建省自然科学基金项目:“城市热岛效应驱动机制、演变规律及环境影响研究”(编号:2007J0345);福建省科技厅科技项目:“基于遥感和GIS的土地节约集约利用研究”(编号:2006F5029);福建师范大学地理科学学院研究生科研创新基金:“地表参数反演及其在城市热环境研究中的应用”

摘　　要：以ASTER为数据源,反演了研究区的地表温度(LST),并提取了NDVI、植被覆盖度、不透水面密度3个参数,从不同土地利用类型上、不同层次上分析了地表温度与其他3个参数的定量关系,以寻求其内在作用规律,并分析其对城市热岛的表征性,研究结果表明:在各土地利用类型或整个研究区上地表温度与其他3个参数的关系异常复杂,很难用线性表达;而在1%的间隔尺度上平均温度与植被覆盖度、不透水面密度分别呈明显线性负相关和正相关关系,在0.01间隔尺度上地表温度和NDVI关系仍较复杂,呈分段性变化;另外,植被覆盖度、不透水面密度对城市热岛的表征性和代表性要强于NDVI,利用二者研究城市热岛更为有效,更有利于城市热岛与下垫面参数内在作用机制的分析。This paper compares normalized difference vegetation index （NDVI）, vegetation abundance and percent impervious surface as indicators of surface urban heat island effects in ASTER images from April 6,2004, by investigating the relationships between land surface temperature （LST）, NDVI, vegetation abundance, and percent impervious surface area （%ISA）. ASTER data includes 14 bands with different spatial resolutions, i.e., two visible bands and one NIR band with 15-m spatial resolution, six SWIR bands with 30-m spatial resolution, and five TIR bands with 90-m spatial resolution. The unique characteristics of ASTER are useful for improved recovery of land surface parameters such as LAI, vegetation abundance and temperature. The product of AST-09T, which was radiance-corrected for atmospheric effects, was used to estimate Land Surface Temperature for Fuzhou using the Temperature/Emissivity Separation （TES） algorithm. The TES algorithm for ASTER is a difficult but robust method to recover simultaneously both land-surface ＂kinetic＂ temperatures and emissivities,which consists of three improved modules： the Normalized Emissivity Method （NEM）, Ratio module （RAT） and Min-Max Difference module （MMD）. NDVI was calculated from ASTER reflectance of band2 and band3 which were atmospherically corrected using the Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes （FLAASH） module of ENVI, and two maps of vegetation abundance and percent impervious surface with a standard error of less than 0.1 were also computed from ASTER L1B imagery using linear spectral unmixing model （LSU）. It should be noted that terrain variability can influence the performance of LSU and limit its application, especially in mountainous areas, so the C terrain illumination correction for ASTER images was employed before applying LSU. Next, using the zonal statistics in the ArcGIS platform, the multiple regression models were further developed to examine the relationships between LST and the other three de

关 键 词：ASTER 地表温度 NDVI 植被覆盖度 不透水面密度 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]