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Marc Wieland
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2020 – today
- 2024
- [j14]Marc Wieland, Florian W. Fichtner, Sandro Martinis, Sandro Groth, Christian Krullikowski, Simon Plank, Mahdi Motagh:
S1S2-Water: A Global Dataset for Semantic Segmentation of Water Bodies From Sentinel- 1 and Sentinel-2 Satellite Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 1084-1099 (2024) - [c10]Sandro Martinis, Marc Wieland, Sandro Groth:
A Multi-Sensor System for Surface Water Extraction: Application Examples in the Context of Disaster Management. IGARSS 2024: 1354-1357 - [c9]Sandro Groth, Inga Lammers, Marc Wieland, Simon Plank, Sandro Martinis:
Using Sentinel-1/2 Time Series Data to Investigate Surface Water Changes after the Nova Kakhovka Dam Destruction in Ukraine. IGARSS 2024: 2659-2662 - [c8]Marc Wieland, Victor Hertel, Christian Geiss, Sandro Martinis, Konstanze Lechner:
Toward Scalable Damage Assessment for Rapid Disaster Response. IGARSS 2024: 3902-3905 - 2023
- [j13]Florian W. Fichtner, Nico Mandery, Marc Wieland, Sandro Groth, Sandro Martinis, Torsten Riedlinger:
Time-series analysis of Sentinel-1/2 data for flood detection using a discrete global grid system and seasonal decomposition. Int. J. Appl. Earth Obs. Geoinformation 119: 103329 (2023) - [j12]Christian Krullikowski, Candace Chow, Marc Wieland, Sandro Martinis, Bernhard Bauer-Marschallinger, Florian Roth, Patrick Matgen, Marco Chini, Renaud Hostache, Yu Li, Peter Salamon:
Estimating Ensemble Likelihoods for the Sentinel-1-Based Global Flood Monitoring Product of the Copernicus Emergency Management Service. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 6917-6930 (2023) - [c7]Nina Merkle, Reza Bahmanyar, Corentin Henry, Seyed Majid Azimi, Xiangtian Yuan, Simon Schopferer, Veronika Gstaiger, Stefan Auer, Anne Schneibel, Marc Wieland, Thomas Kraft:
Drones4Good: Supporting Disaster Relief Through Remote Sensing and AI. ICCV (Workshops) 2023: 3772-3776 - [c6]Sandro Groth, Florian W. Fichtner, Marc Wieland, Nico Mandery, Torsten Riedlinger, Sandro Martinis:
Enabling Global Processing of Reference Water Products for Flood Mapping using Kubernetes and STAC. IGARSS 2023: 414-417 - [c5]Magdalena Halbgewachs, Lucas Angermann, Marc Wieland, Uwe Kippnich, Konstanze Lechner:
Using UAV Data to Improve the Situational Awareness for First Responders in Disaster Management: The Example of Flooding in the AHR Valley, Germany. IGARSS 2023: 934-937 - [c4]Marc Wieland, Nina Merkle, Anne Schneibel, Corentin Henry, Konstanze Lechner, Xiangtian Yuan, Seyed Majid Azimi, Veronika Gstaiger, Sandro Martinis:
AD-HOC Situational Awareness During Floods Using Remote Sensing Data and Machine Learning Methods. IGARSS 2023: 1166-1169 - [i1]Nina Merkle, Reza Bahmanyar, Corentin Henry, Seyed Majid Azimi, Xiangtian Yuan, Simon Schopferer, Veronika Gstaiger, Stefan Auer, Anne Schneibel, Marc Wieland, Thomas Kraft:
Drones4Good: Supporting Disaster Relief Through Remote Sensing and AI. CoRR abs/2308.05074 (2023) - 2022
- [j11]Max Helleis, Marc Wieland, Christian Krullikowski, Sandro Martinis, Simon Plank:
Sentinel-1-Based Water and Flood Mapping: Benchmarking Convolutional Neural Networks Against an Operational Rule-Based Processing Chain. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 2023-2036 (2022) - [c3]Anne Schneibel, Nina Merkle, Marc Wieland, Konstanze Lechner, Seyemajid Azimi, Fabian Henkel, Corentin Henry, Ralph Kiefl, Xiangtian Yuan, Monika Gähler:
User-driven flood response & monitoring information - Key findings of the Data4Human project. GHTC 2022: 46-53 - 2020
- [j10]Michaela Rättich, Sandro Martinis, Marc Wieland:
Automatic Flood Duration Estimation Based on Multi-Sensor Satellite Data. Remote. Sens. 12(4): 643 (2020) - [j9]Lisa Knopp, Marc Wieland, Michaela Rättich, Sandro Martinis:
A Deep Learning Approach for Burned Area Segmentation with Sentinel-2 Data. Remote. Sens. 12(15): 2422 (2020) - [c2]Sandro Martinis, Marc Wieland, Michaela Rättich, Christian Böhnke, Torsten Riedlinger:
Automatic Near-Real Time Flood Extent and Duration Mapping based On Multi-Sensor Earth Observation Data. IGARSS 2020: 3243-3246
2010 – 2019
- 2019
- [j8]Yu Li, Sandro Martinis, Marc Wieland, Stefan Schlaffer, Ryo Natsuaki:
Urban Flood Mapping Using SAR Intensity and Interferometric Coherence via Bayesian Network Fusion. Remote. Sens. 11(19): 2231 (2019) - [j7]Marc Wieland, Sandro Martinis:
A Modular Processing Chain for Automated Flood Monitoring from Multi-Spectral Satellite Data. Remote. Sens. 11(19): 2330 (2019) - 2017
- [j6]Marc Wieland, Massimiliano Pittore:
A Spatio-Temporal Building Exposure Database and Information Life-Cycle Management Solution. ISPRS Int. J. Geo Inf. 6(4): 114 (2017) - [j5]Christian Geiß, Matthias Thoma, Massimiliano Pittore, Marc Wieland, Stefan W. Dech, Hannes Taubenböck:
Multitask Active Learning for Characterization of Built Environments With Multisensor Earth Observation Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(12): 5583-5597 (2017) - 2016
- [j4]Marc Wieland, Wen Liu, Fumio Yamazaki:
Learning Change from Synthetic Aperture Radar Images: Performance Evaluation of a Support Vector Machine to Detect Earthquake and Tsunami-Induced Changes. Remote. Sens. 8(10): 792 (2016) - 2015
- [j3]Massimiliano Pittore, Marc Wieland, Mustafa Errize, Cagatay Kariptas, Ismet Güngör:
Improving Post-Earthquake Insurance Claim Management: A Novel Approach to Prioritize Geospatial Data Collection. ISPRS Int. J. Geo Inf. 4(4): 2401-2427 (2015) - 2014
- [j2]Marc Wieland, Massimiliano Pittore:
Performance Evaluation of Machine Learning Algorithms for Urban Pattern Recognition from Multi-spectral Satellite Images. Remote. Sens. 6(4): 2912-2939 (2014) - 2012
- [j1]Marc Wieland, Massimiliano Pittore, Stefano Parolai, Jochen Zschau:
Exposure Estimation from Multi-Resolution Optical Satellite Imagery for Seismic Risk Assessment. ISPRS Int. J. Geo Inf. 1(1): 69-88 (2012) - [c1]Marc Wieland, Massimiliano Pittore, Stefano Parolai, Jochen Zschau:
Remote sensing and omnidirectional imaging for efficient building inventory data-capturing: Application within the Earthquake Model Central Asia. IGARSS 2012: 3010-3013
Coauthor Index
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