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This study aims to carefully analyze the urban heat island (UHI). Using the LST images from the MODIS and LANDSAT 8, high spatial-temporal resolution LST from May to November in 2013 were generated with the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM). Furthermore, the relationships between urban LST and four Landscape Metrics were analyzed based on two GaoFen imageries. UHI effects...
Soil heat flux (G) is an important component of the surface energy balance and plays an important role in the partition of sensible and latent heat fluxes from the available energy. The instantaneous daytime soil heat flux can be estimated as a fraction of net radiation (Rn). Depending on vegetation cover, soil moisture, and on the time of observation, the ratio of G to Rn is different. In order to...
Regional surface air temperature is a significant indicator to research the climate and monitor the environment. In order to estimate surface air temperature in regional scale by remote sensing observations, the study based on the improved advection-energy balance for the surface air temperature (ADEBAT) model to acquire surface air temperature in North China. Results showed that the improved ADEBAT...
The purpose of this study is to comprehensively quantify the spatial–temporal patterns of surface urban heat island (SUHI) by investigating the relationship between Land surface temperature (LST) and the land-cover types and associated landscape components in the case of Beijing, China. The spatial and temporal adaptive reflectance fusion model (STARFM) developed by Gao et al. was employed to create...
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