中国农业气象

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基于GIS的浙江省土地利用/覆盖与地表温度的关系

张小伟;何月;蔡菊珍;李正泉;   

  1. 浙江省气候中心;
  • 出版日期:2010-04-10 发布日期:2010-04-10
  • 基金资助:
    中国气象局多轨道业务建设项目(TG200707);; 浙江省气象局青年科技项目(2008QN05)

GIS-based Analysis on the Relationship between Land Use/cover and Land Surface Temperature in Zhejiang Province

ZHANG Xiao-wei,HE Yue,CAI Ju-zhen,LI Zheng-quan(Zhejiang Climate Center,Hangzhou 310017,China)   

  • Online:2010-04-10 Published:2010-04-10

摘要: 利用MODIS数据的分裂窗算法,获取了浙江省各地2008年一整年的地表温度数据,综合利用遥感、地理信息系统(GIS)技术,研究了地表温度的时空分布特征、地表温度与不同土地覆盖类型间的关系以及地表温度与归一化差值植被指数(NDVI)的定量关系。结果表明:①地表温度在空间分布的高度异质性,一方面是由区域内海拔高度差异较大造成的,另一方面与下垫面类型有关;②不同土地覆盖类型间地表温度的月季变化趋势基本一致,但各类别间的地表温度高低存在显著差异,年平均地表温度总体表现为建设用地>耕地>林地>水体;③植被对地表温度的影响受下垫面类型的制约,分析夏季NDVI与地表温度的关系可见,林地、耕地和建设用地的NDVI与地表温度呈显著负相关;水体的NDVI与地表温度呈正相关。研究结果可为当地高温热浪、低温冻害等灾害的动态监测提供新的途径,具有重要的应用价值,对政府土地合理规划和利用及防灾减灾具有重要指导意义。

关键词: 地表温度, 土地利用/覆盖, 归一化差值植被指数, MODIS, GIS

Abstract: Land surface temperature (LST) was retrieved from MODIS data by using split-window algorithm of Zhejiang Province in 2008. With the support of remote sensing and geographical information system (GIS),the temporal and spatial character of LST was analyzed. The relationship between LST and land use/cover types was quantitatively investigated as well as the relationship between LST and normalized difference vegetation index (NDVI). The results showed that ①spatial heterogeneity of LST was determined by the altitude and land use/cover types; ②there were distinct differences among different land use/cover types while the trend of the month change was similar. The annual average LST of different land use/cover types present:LSTbuilt>LSTcrop> LSTforest>LSTwater; ③The results of regressive analysis showed an inverse correlation relationship between LST and NDVI within all land use/cover types except water. The study on the distribution and seasonal fluctuation of LST was of important value in providing new way of dynamic monitor the disaster,such as high temperature shock and low temperature frozen. It was also important for the disaster prevention and reduction as well as for the land planning of the local government.

Key words: Land surface temperature, Land surface temperature, Land use, NDVI, MODIS, GIS