Articles with public access mandates - Marc WielandLearn more
Not available anywhere: 3
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
Mandates: Federal Ministry of Education and Research, Germany
Probabilistic SAR-based water segmentation with adapted Bayesian convolutional neural network
V Hertel, C Chow, O Wani, M Wieland, S Martinis
Remote Sensing of Environment 285, 113388, 2023
Mandates: Swiss National Science Foundation
Using UAV Data to Improve the Situational Awareness for First Responders in Disaster Management: The Example of Flooding in the AHR Valley, Germany
M Halbgewachs, L Angermann, M Wieland, U Kippnich, K Lechner
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
Mandates: Federal Ministry of Education and Research, Germany
Available somewhere: 8
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
Mandates: Federal Ministry of Education and Research, Germany
A modular processing chain for automated flood monitoring from multi-spectral satellite data
M Wieland, S Martinis
Remote Sensing 11 (19), 2330, 2019
Mandates: Federal Ministry of Education and Research, Germany
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
Mandates: Helmholtz Association, Federal Ministry of Education and Research, Germany
Multitask active learning for characterization of built environments with multisensor earth observation data
C Geiß, M Thoma, M Pittore, M Wieland, SW Dech, H Taubenböck
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
Mandates: Helmholtz Association
Toward a loss‐driven earthquake early warning and rapid response system for Kyrgyzstan (Central Asia)
M Pittore, D Bindi, J Stankiewicz, A Oth, M Wieland, T Boxberger, ...
Seismological Research Letters 85 (6), 1328-1340, 2014
Mandates: European Commission
Semantic segmentation of water bodies in multi-spectral satellite images for situational awareness in emergency response
M Wieland, S Martinis, Y Li
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019
Mandates: Federal Ministry of Education and Research, Germany
AD-HOC Situational Awareness During Floods Using Remote Sensing Data and Machine Learning Methods
M Wieland, N Merkle, A Schneibel, C Henry, K Lechner, X Yuan, ...
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
Mandates: Federal Ministry of Education and Research, Germany
UKIS-CSMASK: A Python package for multi-sensor cloud and cloud-shadow segmentation
M Wieland, FW Fichtner, S Martinis
International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022
Mandates: Federal Ministry of Education and Research, Germany
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