Liu Hua, Weng Qihao
Center for Urban and Environmental Change, Department of Geography, Geology, and Anthropology, Indiana State University, Terre Haute, IN 47809, USA.
Environ Monit Assess. 2008 Sep;144(1-3):199-219. doi: 10.1007/s10661-007-9979-5. Epub 2007 Sep 26.
This paper intended to examine the seasonal variations in the relationship between landscape pattern and land surface temperature based on a case study of Indianapolis, United States. The integration of remote sensing, GIS, and landscape ecology methods was used in this study. Four Terra's ASTER images were used to derive the landscape patterns and land surface temperatures (LST) in four seasons in the study area. The spatial and ecological characteristics of landscape patterns and LSTs were examined by the use of landscape metrics. The impact of each land use and land cover type on LST was analyzed based on the measurements of landscape metrics. The results show that the landscape and LST patterns in the winter were unique. The rest of three seasons apparently had more agreeable landscape and LST patterns. The spatial configuration of each LST zone conformed to that of each land use and land cover type with more than 50% of overlap in area for all seasons. This paper may provide useful information for urban planners and environmental managers for assessing and monitoring urban thermal environments as result of urbanization.
本文旨在以美国印第安纳波利斯市为例，研究景观格局与地表温度之间关系的季节变化。本研究采用了遥感、地理信息系统和景观生态学方法。利用四幅陆地卫星的高级星载热辐射反射辐射计（ASTER）图像，获取研究区域四个季节的景观格局和地表温度（LST）。通过景观指标研究景观格局和地表温度的空间及生态特征。基于景观指标测量结果，分析了每种土地利用和土地覆盖类型对地表温度的影响。结果表明，冬季的景观和地表温度格局较为独特。其余三个季节的景观和地表温度格局明显更为协调。每个地表温度区域的空间配置与每种土地利用和土地覆盖类型的配置相符，所有季节的面积重叠率均超过50%。本文可为城市规划者和环境管理者评估和监测城市化导致的城市热环境提供有用信息。
