2 citations · 2 across the 5 of their papers we have counts for
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Spatiotemporal downscaling and nowcasting of urban land surface temperatures with deep neural networks
Solomiia Kurchaba, Angela Meyer
Land Surface Temperature (LST) is a key variable for various applications, such as urban climate and ecology studies. Yet, existing satellite-derived LST products provide either hi…
Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening
Solomiia Kurchaba, Joannes D. Maasakkers, Berend J. Schuit +1
Continuous and global detection of large methane emissions is a crucial step for global warming mitigation. Satellite observations, such as from S5P/TROPOMI, combined with plume de…
Anomalous NO2 emitting ship detection with TROPOMI satellite data and machine learning
Solomiia Kurchaba, Jasper van Vliet, Fons J. Verbeek +1
Starting from 2021, more demanding emission restrictions were introduced for ships operating in the North and Baltic Sea waters. Since all methods currently us…