The Impact of Seasonality and Land Cover on the Consistency of Relationship between Air Temperature and LST Derived from Landsat 7 and MODIS at a Local Scale: A Case Study in Southern Ontario

Land

Michael Burnett¹  Dongmei Chen¹ 

[1]Department of Geography and Planning, Queen’s University, Kingston, ON K7L 3N6, Canada

关键词: land surface temperature;    Landsat 7 Enhanced Thematic Mapper;    MODIS;    air temperature;    Southern Ontario;    land cover;   

DOI  :  10.3390/land10070672

来源: DOAJ

【 摘 要 】

Land surface temperature (LST) and air temperature (T_air) have been commonly used to analyze urban heat island (UHI) effects throughout the world, with noted variations based on vegetation distribution. This research has compared time series LST data acquired from the Moderate Resolution Imaging Spectroradiometer (MODIS) platforms, Landsat 7 Enhanced Thematic Mapper (ETM+) and T_air from weather stations in the Southern Ontario area. The influence of the spatial resolution, land cover, vegetated surfaces, and seasonality on the relationship between LST and in situ T_air were examined. The objective is to identify spatial and seasonal differences amongst these different spatial resolution LST products and T_air, along with the causes for variations at a localized scale. Results show that MODIS LST from Terra had stronger relationships with Landsat 7 LST than those from Aqua. T_air demonstrated weaker correlations with Landsat LST than with MODIS LST in sparsely vegetated and urban areas during the summer. Due to the winter’s ability to smooth heterogenous surfaces, both LST and T_air showed stronger relationships in winter than summer over every land cover, except with coarse spatial resolutions on forested surfaces.

【 授权许可】

Unknown