Scarlet Stadtler

Forschungszentrum Jülich — Germany

Earth and Planetary Sciences · Physical Sciences

11h-index1.1kcitations45works3.02yr avg
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Research Topics

Atmospheric chemistry and aerosols(14), Atmospheric Ozone and Climate(14), Atmospheric and Environmental Gas Dynamics(9), Air Quality Monitoring and Forecasting(9), Air Quality and Health Impacts(7)

Publications45 total

Bi-modal contrastive learning for crop classification using Sentinel-2 and Planetscope
Frontiers in Remote Sensing·2024· 3 citedOpen Access
Generating Views Using Atmospheric Correction for Contrastive Self-supervised Learning of Multi-spectral Images
2023Open Access
Multi-Modal Self-Supervised Learning for Boosting Crop Classification Using Sentinel2 and Planetscope
2023· 1 cited
Generating Views Using Atmospheric Correction for Contrastive Self-supervised Learning of Multi-spectral Images
2023Open Access
Generating Views Using Atmospheric Correction for Contrastive Self-Supervised Learning of Multispectral Images
IEEE Geoscience and Remote Sensing Letters·2023· 2 cited
Temperature forecasting by deep learning methods
Geoscientific model development·2022· 48 citedOpen Access
Generating Views Using Atmospheric Correction for Contrastive Self-supervised Learning of Multi-spectral Images
2022Open Access
Generating Views Using Atmospheric Correction for Contrastive Self-supervised Learning of Multi-spectral Images
2022Open Access
Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties
Geoscientific model development·2022· 28 citedOpen Access
Comment on gmd-2021-430
2022Open Access
Comment on gmd-2021-430
2022Open Access
Comment on gmd-2022-2
2022Open Access
Temperature forecasting by deep learning methods
2022· 8 citedOpen Access
Explainable Machine Learning Reveals Capabilities, Redundancy, and Limitations of a Geospatial Air Quality Benchmark Dataset
Machine Learning and Knowledge Extraction·2022· 26 citedOpen Access
Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties
2022· 4 citedOpen Access
JUWELS Booster -- A Supercomputer for Large-Scale AI Research
arXiv (Cornell University)·2021Open Access
AQ-Bench: a benchmark dataset for machine learning on global air quality metrics
Earth system science data·2021· 27 citedOpen Access
Comment on essd-2020-380
2021Open Access
Global fine resolution mapping of ozone metrics through explainable machine learning
2021· 8 citedOpen Access
KI:STE Project − AI Strategy for Earth System Data
2021Open Access
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Frequent Co-authors

Martin G. Schultz(38), Sabine Schröder(11), Domenico Taraborrelli(11), Ankit Patnala(11), Clara Betancourt(10), Ribana Roscher(10), Harri Kokkola(8), Thomas Kühn(8), Timo T. Stomberg(8), Bing Gong(7), Michael Langguth(7), Amirpasha Mozaffari(7), Jüergen Gall(7), Bruno Franco(6), Sylvaine Ferrachat(5), Ulrike Lohmann(5), David Neubauer(5), Colombe Siegenthaler‐Le Drian(5), Philip Stier(5), Julia Kowalski(5)