Bernhard Bauer-Marschallinger

Evaluating the robustness of Bayesian flood mapping with Sentinel-1 data: A multi-event validation study Open

Florian Roth, Mark Edwin Tupas, Claudio Navacchi, Jie Zhao, Wolfgang Wagner , et al. · 2025

The impact of recent extreme flood events has once again highlighted the importance of accurate near-real-time flood information. Consequently, a number of operational services have been established that primarily use Synthetic Aperture Ra…

The Fully-Automatic Sentinel-1 Global Flood Monitoring Service: Scientific Challenges and Future Directions Open

Wolfgang Wagner, Bernhard Bauer-Marschallinger, Florian Roth, Tobias Stachl, Christoph Reimer , et al. · 2025

Assessment of time-series-derived no-flood references for sar-based Bayesian flood mapping Open

Mark Edwin Tupas, Florian Roth, Bernhard Bauer-Marschallinger, Wolfgang Wagner · 2024

The systematic mapping of flood events with Synthetic Aperture Radar (SAR) data is an area of growing importance. One global flood mapping algorithm utilized within the Copernicus Emergency Management Service is based upon a Bayesian Infer…

Mitigating the impact of dense vegetation on the Sentinel-1 surface soil moisture retrievals over Europe Open

Samuel Massart, Mariëtte Vreugdenhil, Bernhard Bauer-Marschallinger, Claudio Navacchi, Bernhard Raml , et al. · 2024

The C-band Synthetic Aperture Radar (SAR) on board of the Sentinel-1 satellites have a strong potential to retrieve Surface Soil Moisture (SSM). Using a change detection model to Sentinel-1 backscatter, an SSM product at a kilometre scale …

A PRELIMINARY COMPARISON OF TWO EXCLUSION MAPS FOR LARGE-SCALE FLOOD MAPPING USING SENTINEL-1 DATA Open

Jie Zhao, Florian Roth, Bernhard Bauer-Marschallinger, Wolfgang Wagner, Marco Chini , et al. · 2023

Due to its ability to acquire data regardless of weather conditions and solar illumination, Synthetic Aperture Radar (SAR) intensity data is the preferred data for large-scale flood mapping. However, due to the SAR image distortions and co…

Improving Sentinel-1 Flood Maps Using a Topographic Index as Prior in Bayesian Inference Open

Mark Edwin Tupas, Florian Roth, Bernhard Bauer-Marschallinger, Wolfgang Wagner · 2023

Sentinel-1-based flood mapping works well but with well-known issues over rugged terrain. Applying exclusion masks to improve the results is common practice in unsupervised and global applications. One such mask is the height above the nea…

Sentinel-1-based analysis of the severe flood over Pakistan 2022 Open

Florian Roth, Bernhard Bauer-Marschallinger, Mark Edwin Tupas, Christoph Reimer, Peter Salamon , et al. · 2023

In August and September 2022, Pakistan was hit by a severe flood, and millions of people were impacted. The Sentinel-1-based flood mapping algorithm developed by Technische Universität Wien (TU Wien) for the Copernicus Emergency Management…

Wasting petabytes: A survey of the Sentinel-2 UTM tiling grid and its spatial overhead Open

Bernhard Bauer-Marschallinger, Konstantin Falkner · 2023

Following Landsat's practice, Sentinel-2 multispectral satellite products are delivered as raster images projected onto the Universal Transversal Mercator (UTM) spatial reference system, which divides Earth into 60 longitudinal zones. Loca…

Utilising Sentinel-1’s Orbital Stability for Efficient Pre-Processing of Radiometric Terrain Corrected Gamma Nought Backscatter Open

Claudio Navacchi, Senmao Cao, Bernhard Bauer-Marschallinger, P. Snoeij, David Small , et al. · 2023

Radiometric Terrain Corrected (RTC) gamma nought backscatter, which was introduced around a decade ago, has evolved into the standard for analysis-ready Synthetic Aperture Radar (SAR) data. While working with RTC backscatter data is partic…

Soil moisture retrieval from Sentinel-1 using a first-order radiative transfer model—A case-study over the Po-Valley Open

Raphael Quast, Wolfgang Wagner, Bernhard Bauer-Marschallinger, Mariëtte Vreugdenhil · 2023

Soil moisture is an important variable controlling many land surface processes and is used to quantify precipitation, drought, flooding, irrigation and other factors that influence decision making and risk-assessment. This paper presents t…

Estimating ensemble likelihoods for the Sentinel-1 based Global Flood Monitoring product of the Copernicus Emergency Management Service Open

Christian Krullikowski, Candace Chow, Marc Wieland, Sandro Martinis, Bernhard Bauer-Marschallinger , et al. · 2023

The Global Flood Monitoring (GFM) system of the Copernicus Emergency Management Service (CEMS) addresses the challenges and impacts that are caused by flooding. The GFM system provides global, near-real time flood extent masks for each new…

Estimating ensemble likelihoods for the Sentinel-1 based Global Flood Monitoring product of the Copernicus Emergency Management Service Open

Christian Krullikowski, Candace Chow, Marc Wieland, Sandro Martinis, Bernhard Bauer-Marschallinger , et al. · 2023

The Global Flood Monitoring (GFM) system of the Copernicus Emergency Management Service (CEMS) addresses the challenges and impacts that are caused by flooding. The GFM system provides global, near-real time flood extent masks for each new…

Estimating ensemble likelihoods for the Sentinel-1 based Global Flood Monitoring product of the Copernicus Emergency Management Service Open

Christian Krullikowski, Candace J. Chow, Marc Wieland, Sandro Martinis, Bernhard Bauer-Marschallinger , et al. · 2023

The Global Flood Monitoring (GFM) system of the Copernicus Emergency Management Service (CEMS) addresses the challenges and impacts that are caused by flooding. The GFM system provides global, near-real time flood extent masks for each new…

Mitigating the impact of dense vegetation on theSentinel-1 surface soil moisture over Europe Open

Samuel Massart, Mariëtte Vreugdenhil, Bernhard Bauer-Marschallinger, Claudio Navacchi, Bernhard Raml , et al. · 2023

The current generation of Synthetic Aperture Radars (SAR) has a high potential to retrieve surface soil moisture (SSM) at a kilometer-scale resolution. Research has shown that a change detection approach applied to the backscatter from the…

Observing with Sentinel-1 widespread flood crises of 2022 in Pakistan and Nigeria Open

Florian Roth, Mark Edwin Tupas, Bernhard Bauer-Marschallinger, Wolfgang Wagner · 2023

Flood events are a major threat to human lives and are often responsible for a substantial destruction of infrastructure. Unfortunately, the obstruction of transport links often prevents the accessibility of certain regions and the impact …

A likelihood analysis of the Global Flood Monitoring ensemble product Open

Christian Krullikowski, Candace J. Chow, Marc Wieland, Sandro Martinis, Marco Chinni , et al. · 2023

Flooding is a natural disaster that can have devastating impacts on communities and individuals, causing significant damage to infrastructure, loss of life, and economic disruption. The Global Flood Monitoring (GFM) system of the Copernicu…

Improving 1km Sentinel-1 Soil Moisture Retrievals by Optimizing Backscatter Preprocessing Workflows Open

Wolfgang Wagner, Samuel Massart, Bernhard Raml, Raphael Quast, Pavan Muguda Sanjeevamurthy , et al. · 2023

Most scientific studies dealing with the retrieval of soil moisture data from Synthetic Aperture Radar (SAR) data focus on the formulation, training, and validation of the models used to convert the backscatter measurements into soil moist…

An Intercomparison of Sentinel-1 Based Change Detection Algorithms for Flood Mapping Open

Mark Edwin Tupas, Florian Roth, Bernhard Bauer-Marschallinger, Wolfgang Wagner · 2023

With its unrivaled and global land monitoring capability, the Sentinel-1 mission has been established as a prime provider in SAR-based flood mapping. Compared to suitable single-image flood algorithms, change-detection methods offer better…

Comment on egusphere-2022-1061 Open

Florian Roth, Bernhard Bauer-Marschallinger, Mark Edwin Tupas, Christoph Reimer, Peter Salamon , et al. · 2023

Abstract. In August and September 2022, Pakistan was hit by a severe flood and millions of people were impacted. The Sentinel-1 based flood mapping algorithm developed by Technische Universität Wien (TU Wien) for the Coper…

Estimating Ensemble Likelihoods for the Sentinel-1-Based Global Flood Monitoring Product of the Copernicus Emergency Management Service Open

Christian Krullikowski, Candace Chow, Marc Wieland, Sandro Martinis, Bernhard Bauer-Marschallinger , et al. · 2023

The Global Flood Monitoring (GFM) system of the Copernicus Emergency Management Service (CEMS) addresses the challenges and impacts that are caused by flooding. The GFM system provides global, near-real time flood extent masks for each new…

Sentinel-1 based analysis of the Pakistan Flood in 2022 Open

Florian Roth, Bernhard Bauer-Marschallinger, Mark Edwin Tupas, Christoph Reimer, Peter Salamon , et al. · 2022

In August and September 2022, Pakistan was hit by a severe flood and millions of people were impacted. The Sentinel-1 based flood mapping algorithm developed by Technische Universität Wien (TU Wien) for the Copernicus Emergency Management …

Utilising Sentinel-1’s orbital stability for efficient pre-processing of sigma nought backscatter Open

Claudio Navacchi, Senmao Cao, Bernhard Bauer-Marschallinger, P. Snoeij, David Small , et al. · 2022

For already more than seven years, the Sentinel-1 C-band Synthetic Aperture Radar (SAR) mission has been providing indispensable information for monitoring bio-geophysical parameters at fine temporal and spatial scales. As many application…

COMPUTING GLOBAL HARMONIC PARAMETERS FOR FLOOD MAPPING USING TU WIEN’S SAR DATACUBE SOFTWARE STACK Open

Mark Edwin Tupas, C. Navacchi, Florian Roth, Bernhard Bauer-Marschallinger, F. Reuß , et al. · 2022

TU Wien’s flood mapping algorithm, used for global operations, utilizes harmonic functions to model the seasonal behavior of backscatter to improve flood classification. In earth observation (EO), temporal harmonic models have been used in…

Satellite-Based Flood Mapping through Bayesian Inference from a Sentinel-1 SAR Datacube Open

Bernhard Bauer-Marschallinger, Senmao Cao, Mark Edwin Tupas, Florian Roth, Claudio Navacchi , et al. · 2022

Spaceborne Synthetic Aperture Radar (SAR) are well-established systems for flood mapping, thanks to their high sensitivity towards water surfaces and their independence from daylight and cloud cover. Particularly able is the 2014-launched …

Widespread occurrence of anomalous C-band backscatter signals in arid environments caused by subsurface scattering Open

Wolfgang Wagner, Roland Lindorfer, Thomas Melzer, Sebastian Hahn, Bernhard Bauer-Marschallinger , et al. · 2022

Assessing the impact of land cover type on Sentinel-1 soil moisture retrievals Open

Samuel Massart, Mariëtte Vreugdenhil, Bernhard Bauer-Marschallinger, Claudio Navacchi, Felix Reuß , et al. · 2022

<p>Active microwave remote sensing satellites allow to retrieve surface soil moisture (SSM) consistently and independently from sun illumination or cloud cover. The current generation of Synthetic Aperture Radars (SAR) on-board of th…

A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications Open

Wolfgang Wagner, Bernhard Bauer-Marschallinger, Claudio Navacchi, Felix Reuß, Senmao Cao , et al. · 2021

The Sentinel-1 Synthetic Aperture Radar (SAR) satellites allow global monitoring of the Earth’s land surface with unprecedented spatio-temporal coverage. Yet, implementing large-scale monitoring capabilities is a challenging task given the…

The normalised Sentinel-1 Global Backscatter Model, mapping Earth’s land surface with C-band microwaves Open

Bernhard Bauer-Marschallinger, Senmao Cao, Claudio Navacchi, Vahid Freeman, Felix Reuß , et al. · 2021

We present a new perspective on Earth’s land surface, providing a normalised microwave backscatter map from spaceborne Synthetic Aperture Radar (SAR) observations. The Sentinel-1 Global Backscatter Model (S1GBM) describes Earth for the per…

Detection and Quantification of Irrigation Water Amounts at 500 m Using Sentinel-1 Surface Soil Moisture Open

Luca Zappa, Stefan Schlaffer, Bernhard Bauer-Marschallinger, Claas Nendel, Beate Zimmerman , et al. · 2021

Detailed information about irrigation timing and water use at a high spatial resolution is critical for monitoring and improving agricultural water use efficiency. However, neither statistical surveys nor remote sensing-based approaches ca…

Towards an operationally capable satellite-based 0-100 cm soil moisture dataset from C3S Open

Adam Pasik, Wolfgang Preimesberger, Bernhard Bauer-Marschallinger, Wouter Dorigo · 2021

<p>Multiple satellite-based global surface soil moisture (SSM) datasets are presently available, these however, address exclusively the top layer of the soil (0-5cm). Meanwhile, root-zone soil moisture cannot be directly quantified w…

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