Land surface temperature (LST) is a critical parameter for understanding Earth’s energy balance and monitoring climate change. However, due to the limited spatial resolution of current satellite observations, LST measurements often reflect a mix of sunlit and shaded surface components. This blending introduces significant uncertainty into key environmental assessments involving LST, such as analyses of global warming trends and evaluations of afforestation impacts.
First satellite-scale retrieval of land surface temperature components
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