1 code implementation • 30 Nov 2023 • Rafael Pablos Sarabia, Joachim Nyborg, Morten Birk, Ira Assent
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.
1 code implementation • 17 Mar 2022 • Joachim Nyborg, Charlotte Pelletier, Ira Assent
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.
1 code implementation • 23 Nov 2021 • Joachim Nyborg, Ira Assent
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.
1 code implementation • 4 Nov 2021 • Joachim Nyborg, Charlotte Pelletier, Sébastien Lefèvre, Ira Assent
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.