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Found 4 papers, 4 papers with code
RainAI -- Precipitation Nowcasting from Satellite Data
This paper presents a solution to the Weather4Cast 2023 competition, where the goal is to forecast high-resolution precipitation with an 8-hour lead time using lower-resolution satellite radiance images.
Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding
Unlike previous positional encoding based on calendar time (e. g. day-of-year), TPE is based on thermal time, which is obtained by accumulating daily average temperatures over the growing season.
Weakly-Supervised Cloud Detection with Fixed-Point GANs
Convolutional neural networks (CNNs) have greatly advanced the state-of-the-art in the detection of clouds in satellite images, but existing CNN-based methods are costly as they require large amounts of training images with expensive pixel-level cloud labels.
TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation
However, when applied to target regions spatially different from the training region, these models perform poorly without any target labels due to the temporal shift of crop phenology between regions.
