Marc Wieland

Orcid: 0000-0002-1155-723X

According to our database1, Marc Wieland authored at least 24 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
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., 2024

Toward Scalable Damage Assessment for Rapid Disaster Response.
Proceedings of the IGARSS 2024, 2024

A Multi-Sensor System for Surface Water Extraction: Application Examples in the Context of Disaster Management.
Proceedings of the IGARSS 2024, 2024

Using Sentinel-1/2 Time Series Data to Investigate Surface Water Changes after the Nova Kakhovka Dam Destruction in Ukraine.
Proceedings of the IGARSS 2024, 2024

2023
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, May, 2023

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., 2023

AD-HOC Situational Awareness During Floods Using Remote Sensing Data and Machine Learning Methods.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Using UAV Data to Improve the Situational Awareness for First Responders in Disaster Management: The Example of Flooding in the AHR Valley, Germany.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Enabling Global Processing of Reference Water Products for Flood Mapping using Kubernetes and STAC.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Drones4Good: Supporting Disaster Relief Through Remote Sensing and AI.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
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., 2022

User-driven flood response & monitoring information - Key findings of the Data4Human project.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2022

2020
Automatic Flood Duration Estimation Based on Multi-Sensor Satellite Data.
Remote. Sens., 2020

A Deep Learning Approach for Burned Area Segmentation with Sentinel-2 Data.
Remote. Sens., 2020

Automatic Near-Real Time Flood Extent and Duration Mapping based On Multi-Sensor Earth Observation Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
A Modular Processing Chain for Automated Flood Monitoring from Multi-Spectral Satellite Data.
Remote. Sens., 2019

Urban Flood Mapping Using SAR Intensity and Interferometric Coherence via Bayesian Network Fusion.
Remote. Sens., 2019

2017
Multitask Active Learning for Characterization of Built Environments With Multisensor Earth Observation Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

A Spatio-Temporal Building Exposure Database and Information Life-Cycle Management Solution.
ISPRS Int. J. Geo Inf., 2017

2016
Learning Change from Synthetic Aperture Radar Images: Performance Evaluation of a Support Vector Machine to Detect Earthquake and Tsunami-Induced Changes.
Remote. Sens., 2016

2015
Improving Post-Earthquake Insurance Claim Management: A Novel Approach to Prioritize Geospatial Data Collection.
ISPRS Int. J. Geo Inf., 2015

2014
Performance Evaluation of Machine Learning Algorithms for Urban Pattern Recognition from Multi-spectral Satellite Images.
Remote. Sens., 2014

2012
Exposure Estimation from Multi-Resolution Optical Satellite Imagery for Seismic Risk Assessment.
ISPRS Int. J. Geo Inf., 2012

Remote sensing and omnidirectional imaging for efficient building inventory data-capturing: Application within the Earthquake Model Central Asia.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012


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