Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery

被引:1091
作者
Yuan, Fei [1 ]
Bauer, Marvin E.
机构
[1] Mankato State Univ, Dept Geog, Mankato, MN 56001 USA
[2] Univ Minnesota, Dept Forest Resources, St Paul, MN 55108 USA
关键词
impervious surface area; land surface temperature; normalized difference vegetation index; spectral mixture analysis; surface urban heat island; Landsat TM/ETM;
D O I
10.1016/j.rse.2006.09.003
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper compares the normalized difference vegetation index (NDVI) and percent impervious surface as indicators of surface urban heat island effects in Landsat imagery by investigating the relationships between the land surface temperature (LST), percent impervious surface area (%ISA), and the NDVI. Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data were used to estimate the LST from four different seasons for the Twin Cities, Minnesota, metropolitan area. A map of percent impervious surface with a standard error of 7.95% was generated using a normalized spectral mixture analysis of July 2002 Landsat TM imagery. Our analysis indicates there is a strong linear relationship between LST and percent impervious surface for all seasons, whereas the relationship between LST and NDVI is much less strong and varies by season. This result suggests percent impervious surface provides a cornplementary metric to the traditionally applied NDVI for analyzing LST quantitatively over the seasons for surface urban heat island studies using thermal infrared remote sensing in an urbanized environment. (c) 2006 Elsevier Inc. All rights reserved.
引用
收藏
页码:375 / 386
页数:12
相关论文
共 52 条
[41]   SATELLITE-DERIVED URBAN HEAT ISLANDS FROM 3 COASTAL CITIES AND THE UTILIZATION OF SUCH DATA IN URBAN CLIMATOLOGY [J].
ROTH, M ;
OKE, TR ;
EMERY, WJ .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1989, 10 (11) :1699-1720
[42]   LINEAR MIXING AND THE ESTIMATION OF GROUND COVER PROPORTIONS [J].
SETTLE, JJ ;
DRAKE, NA .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1993, 14 (06) :1159-1177
[44]   Classification-based emissivity for land surface temperature measurement from space [J].
Snyder, WC ;
Wan, Z ;
Zhang, Y ;
Feng, YZ .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (14) :2753-2774
[45]  
Stankowski S.J., 1972, U.G. Geographical Survey Professional Paper 800-B, V800, P219
[46]   Thermal remote sensing of urban climates [J].
Voogt, JA ;
Oke, TR .
REMOTE SENSING OF ENVIRONMENT, 2003, 86 (03) :370-384
[47]   A remote sensing-GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China [J].
Weng, Q .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2001, 22 (10) :1999-2014
[48]   Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies [J].
Weng, QH ;
Lu, DS ;
Schubring, J .
REMOTE SENSING OF ENVIRONMENT, 2004, 89 (04) :467-483
[49]   Estimating impervious surface distribution by spectral mixture analysis [J].
Wu, CS ;
Murray, AT .
REMOTE SENSING OF ENVIRONMENT, 2003, 84 (04) :493-505
[50]   Normalized spectral mixture analysis for monitoring urban composition using ETM plus imagery [J].
Wu, CS .
REMOTE SENSING OF ENVIRONMENT, 2004, 93 (04) :480-492