2 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
In-flight pixel degradation of the Sentinel 5 Precursor TROPOMI-SWIR HgCdTe detector
Tim A. van Kempen, Marina Lobanova, Richard van Hees +4
The TROPOMI-SWIR HgCdTe detector on the Sentinel-5 Precursor mission has been performing in-orbit measurements of molecular absorption in Earth's atmosphere since its launch in Oct…
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…
Supervised segmentation of NO2 plumes from individual ships using TROPOMI satellite data
Solomiia Kurchaba, Jasper van Vliet, Fons J. Verbeek +2
The shipping industry is one of the strongest anthropogenic emitters of -- substance harmful both to human health and the environment. The rapid growth of the…