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Impacts of Land Cover and Seasonal Variation on Maximum Air Temperature Estimation Using MODIS Imagery
2017
Remote Sensing
Daily maximum surface air temperature (Tamax) is a crucial factor for understanding complex land surface processes under rapid climate change. Remote detection of Tamax has widely relied on the empirical relationship between air temperature and land surface temperature (LST), a product derived from remote sensing. However, little is known about how such a relationship is affected by the high heterogeneity in landscapes and dynamics in seasonality. This study aims to advance our understanding of
doi:10.3390/rs9030233
fatcat:ywrk73ccbnb6zjkathejhij2gq