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Artificial Neural Networks to Retrieve Land and Sea Skin Temperature from IASI
2020
Remote Sensing
Surface skin temperature (Tskin) derived from infrared remote sensors mounted on board satellites provides a continuous observation of Earth's surface and allows the monitoring of global temperature change relevant to climate trends. In this study, we present a fast retrieval method for retrieving Tskin based on an artificial neural network (ANN) from a set of spectral channels selected from the Infrared Atmospheric Sounding Interferometer (IASI) using the information theory/entropy reduction
doi:10.3390/rs12172777
fatcat:vgmo2d34xvatzjtt22k25wl664