Estimation of actual evapotranspiration using remote sensing data to assess the role of vegetation and water on urban climate: A study of Melbourne city
(2010 – current)
Nury’s study aims to assess the role of vegetation and water on urban climate, especially the thermal condition. As cities develop, the changed land surfaces influence the water cycle and microclimate. The reduction of evapotranspiration combined with the modified land surfaces elevate temperatures in urban areas compared to adjacent non-urban areas and contribute to the formation of the urban heat island. In her study, she will explore the relationships between urban vegetation, surface imperviousness and land surface temperature through LiDAR data and satellite imagery. Evapotranspiration will be estimated using Landsat satellite imageries based on Surface Energy Balance Algorithm (SEBAL) model. This remote sensing based model is mainly developed for estimating evapotranspiration from agricultural land. Nury’s research intention is to incorporate urban surface characteristics into SEBAL model to estimate spatial variability of urban evapotranspiration.