基于遥感数据的城市地表温度与土地覆盖定量研究

The Quantitative Relationship between Land Surface Temperature and Land Cover Types Based on Remotely Sensed Data

利用Landsat TM数据,以徐州市为研究区,采用单窗算法反演地表温度,通过混合像元分解和V-I-S(植被—不透水面层—土壤)模型将土地覆盖类型分解为对城市热环境具有重要影响的植被、土壤、不透水面层3个分量,最后利用得到的3种地物比例、直接分类后的土地覆盖类型和地表温度对研究区城市热岛的空间分布特征、地表温度与土地覆盖类型以及各种影响因子之间的关系进行定量研究。研究成果能够有效地应用于城市人居环境研究和生态环境过程分析中。

Taking Xuzhou city as the case study area,Land Surface Temperature（LST） was calculated using Landsat TM data,single-window algorithm and the parameters was obtained through various channels.The decomposition of mixed-pixel and the relationship between LST and land cover was studied.Based on the Vegetation-Impervious Surface Area-Soil（V-I-S） model and spectral unmixing,land cover types were categorized into three components：vegetation,soil and ISA,which have a major impact on urban heat environment.The spatial distribution characteristic of UHI（Urban Heat Island） in the study area and the relationship between Land cover types and various affecting factors were studied quantitatively by using LST and the types of V-I-S and direct classification.The research results could be effectively applied for urban residency environmment research and the ecological environment process analysis.