遥感城市热岛提取的影响因素分析

随着城市化进程的加快，热岛效应成为当今社会热点问题，研究主要集中于热岛强度变化和景观格局影响分析。遥感热岛提取结果受到多方面因素的影响，因此影像选择尤为关键。以石家庄地区为例，选取不同季节、相同季节但植被状态不同的Landsat影像以及ASTER夜间影像，分析季节、农田生长状态、昼夜等因素对遥感热岛提取结果的影响。研究表明：农田作物生长茂盛、平均温度高的季节，遥感热岛提取效果较好且热岛强度较大；农田作物收获后，土地裸露，为保证遥感热岛有效提取应选择夜间数据。实验结果可为热岛研究过程中遥感数据选择和分析提供参考。

Analysis of Influence Factors of Urban Heat Island Effect based on Remote Sensing

With the rapid growth of urbanization， the heat island effect has become a hot issue in today’s society. Most of the existing researches focus on the analysis of heat island intensity change and landscape pattern influence. In fact， the extraction results of remote sensing heat island are affected by many factors. Image selection is particularly critical. Taking Shijiazhuang as an example， Landsat （different seasons and different vegetation status in the same season） and ASTER night images were used in this paper. These data were used to analyze the impacts of season， farmland growth state， daytime and night and other factors on the extraction results of remote sensing heat island. Research show that， in the seasons with flourish crops growth， high average temperature， remote sensing heat island extraction effect is better and the intensity of heat island is larger. After the harvest of farmland crops， the land is bare. To ensure the quality of remote sensing heat island extraction， night data should be selected. The experimental results can provide reference for the selection and analysis of remote sensing data in the process of heat island research.