Multi-sensor cloud and cloud shadow segmentation with a convolutional neural network M Wieland, Y Li, S Martinis Remote Sensing of Environment 230, 111203, 2019 | 180 | 2019 |
Urban flood mapping with an active self-learning convolutional neural network based on TerraSAR-X intensity and interferometric coherence Y Li, S Martinis, M Wieland ISPRS Journal of Photogrammetry and Remote Sensing 152, 178-191, 2019 | 175 | 2019 |
Performance evaluation of machine learning algorithms for urban pattern recognition from multi-spectral satellite images M Wieland, M Pittore Remote Sensing 6 (4), 2912-2939, 2014 | 157 | 2014 |
Estimating building inventory for rapid seismic vulnerability assessment: Towards an integrated approach based on multi-source imaging M Wieland, M Pittore, S Parolai, J Zschau, B Moldobekov, U Begaliev Soil Dynamics and Earthquake Engineering 36, 70-83, 2012 | 124 | 2012 |
A deep learning approach for burned area segmentation with Sentinel-2 data L Knopp, M Wieland, M Rättich, S Martinis Remote Sensing 12 (15), 2422, 2020 | 106 | 2020 |
Urban flood mapping using SAR intensity and interferometric coherence via Bayesian network fusion Y Li, S Martinis, M Wieland, S Schlaffer, R Natsuaki Remote Sensing 11 (19), 2231, 2019 | 101 | 2019 |
Toward a rapid probabilistic seismic vulnerability assessment using satellite and ground-based remote sensing M Pittore, M Wieland Natural Hazards 68, 115-145, 2013 | 99 | 2013 |
A modular processing chain for automated flood monitoring from multi-spectral satellite data M Wieland, S Martinis Remote Sensing 11 (19), 2330, 2019 | 84 | 2019 |
Semantic segmentation of water bodies in very high-resolution satellite and aerial images M Wieland, S Martinis, R Kiefl, V Gstaiger Remote Sensing of Environment 287, 113452, 2023 | 69 | 2023 |
Learning change from synthetic aperture radar images: Performance evaluation of a support vector machine to detect earthquake and tsunami-induced changes M Wieland, W Liu, F Yamazaki Remote Sensing 8 (10), 792, 2016 | 63 | 2016 |
Perspectives on global dynamic exposure modelling for geo-risk assessment M Pittore, M Wieland, K Fleming Natural Hazards 86, 7-30, 2017 | 58 | 2017 |
Landslide susceptibility analysis in data-scarce regions: the case of Kyrgyzstan A Saponaro, M Pilz, M Wieland, D Bindi, B Moldobekov, S Parolai Bulletin of engineering geology and the environment 74, 1117-1136, 2015 | 51 | 2015 |
Large-scale surface water change observed by Sentinel-2 during the 2018 drought in Germany M Wieland, S Martinis International Journal of Remote Sensing 41 (12), 4742-4756, 2020 | 43 | 2020 |
Automatic flood duration estimation based on multi-sensor satellite data M Rättich, S Martinis, M Wieland Remote Sensing 12 (4), 643, 2020 | 43 | 2020 |
Sentinel-1-based water and flood mapping: Benchmarking convolutional neural networks against an operational rule-based processing chain M Bereczky, M Wieland, C Krullikowski, S Martinis, S Plank IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 42 | 2022 |
Uncertainty and sensitivity analyses in seismic risk assessments on the example of Cologne, Germany S Tyagunov, M Pittore, M Wieland, S Parolai, D Bindi, K Fleming, ... Natural Hazards and Earth System Sciences 14 (6), 1625-1640, 2014 | 42 | 2014 |
Towards a global seasonal and permanent reference water product from Sentinel-1/2 data for improved flood mapping S Martinis, S Groth, M Wieland, L Knopp, M Rättich Remote Sensing of Environment 278, 113077, 2022 | 40 | 2022 |
Exposure estimation from multi-resolution optical satellite imagery for seismic risk assessment M Wieland, M Pittore, S Parolai, J Zschau ISPRS International Journal of Geo-Information 1 (1), 69-88, 2012 | 39 | 2012 |
A multiscale exposure model for seismic risk assessment in Central Asia M Wieland, M Pittore, S Parolai, U Begaliev, P Yasunov, S Tyagunov, ... Seismological Research Letters 86 (1), 210-222, 2015 | 37 | 2015 |
Large-area settlement pattern recognition from Landsat-8 data M Wieland, M Pittore ISPRS Journal of Photogrammetry and Remote Sensing 119, 294-308, 2016 | 31 | 2016 |