An automatic change detection approach for rapid flood mapping in Sentinel-1 SAR data. - Yu Li 020; Sandro Martinis; Simon Plank; Ralf Ludwig (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Urban Flood Mapping Using SAR Intensity and Interferometric Coherence via Bayesian Network Fusion. - Yu Li 020; Sandro Martinis; Marc Wieland; Stefan Schlaffer; Ryo Natsuaki (Remote. Sens., 2019)

Sar-Based Flood Mapping, Where We Are and Future Challenges. - Marco Chini; Ramona Pelich; Yu Li 020; Renaud Hostache; Jie Zhao 021; Concetta Di Mauro; Patrick Matgen (IGARSS, 2021)

Prior Information in Support of Deep Learning Methods to Map Floodwater in Urbanized Areas. - Jie Zhao 021; Yu Li 020; Patrick Matgen; Ramona Pelich; Renaud Hostache; Wofgang Wagner; Marco Chini (IGARSS, 2022)

Urban-Aware U-Net for Large-Scale Urban Flood Mapping Using Multitemporal Sentinel-1 Intensity and Interferometric Coherence. - Jie Zhao 021; Yu Li 020; Patrick Matgen; Ramona Pelich; Renaud Hostache; Wolfgang Wagner 001; Marco Chini (IEEE Trans. Geosci. Remote. Sens., 2022)

Insight into Offshore Oil Drift Monitoring Through Combination of Sequential Sentinel-1 Ascending and Descending Images. - Tran Vu La; Ramona Pelich; Marco Chini; Yu Li 020; Patrick Matgen (IGARSS, 2023)

Assessment of Sentinel-1-Estimated Sea Surface Convective wind Gusts with in-situ wind Measurements. - Tran Vu La; Ramona Pelich; Marco Chini; Yu Li 020; Patrick Matgen; Christophe Messager (IGARSS, 2023)

Estimating Ensemble Likelihoods for the Sentinel-1-Based Global Flood Monitoring Product of the Copernicus Emergency Management Service. - Christian Krullikowski; Candace Chow; Marc Wieland; Sandro Martinis; Bernhard Bauer-Marschallinger; Florian Roth; Patrick Matgen; Marco Chini; Renaud Hostache; Yu Li 020; Peter Salamon (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Uncertainty Estimation in SAR-Based Flood Mapping Via Density-Aware Deep Neural Networks. - Yu Li 020; Patrick Matgen; Marco Chini (IGARSS, 2024)

Urban Flood Mapping Using Satellite Synthetic Aperture Radar Data: A Review of Characteristics, Approaches and Datasets. - Jie Zhao 021; Ming Li 037; Yu Li 020; Patrick Matgen; Marco Chini (CoRR, 2024)

Monitoring of Spatio-Temporal Variations of Oil Slicks via the Collocation of Multi-Source Satellite Images. - Tran Vu La; Ramona Pelich; Yu Li 020; Patrick Matgen; Marco Chini (Remote. Sens., 2024)

Extraction of built-up areas using Sentinel-1 and Sentinel-2 data with automated training data sampling and label noise robust cross-fusion neural networks. - Yu Li 020; Patrick Matgen; Marco Chini (Int. J. Appl. Earth Obs. Geoinformation, 2025)