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Open access 2026

A Multi-Scale ConvLSTM with Seasonal Encoding for Monthly Land Surface Temperature Prediction

An MSG-ConvLSTM model that integrates multi-scale spatial feature extraction with a periodic awareness mechanism and incorporates a sinusoidal positional encoding–based periodic gating mechanism to explicitly capture seasonal variations, thereby improving its ability to model long-term dependencies is proposed.

Yao Xiao · 0 citations

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