This project aims to study urban heat island effect and explore change in relationships among land surface albedo, land surface temperature, and vegetation in selected Asian cities within a 5-10 year window. Land surface albedo is the diffuse reflectivity or reflecting power of a surface, while vegetation helps cool down the urban space through evapotranspiration. Landsat 8 images will be used to for quantitative analysis, specifically band 4 and 5 for NDVI, and band 10 for extraction of surface emissivity, land surface temperature. Ideally, a model will be built in ArcGIS to conveniently extract information about land surface emissivity and land surface temperature instead of manual extraction for every image for every single city. Instead of using temperature for a single day, this project hopes to use mean temperature from available Landsat 8 images in a summer season over a 2~3 months. Correlation and covariance will be calculated among land surface temperature and NDVI, land surface temperature and albedo to observe relationships among these variables. As cities around the world are seeking solutions for climate adaptation, this project can help provide recommendations for effective and affordable solutions to heightened summer temperature in urban areas.