Wolfgang Wagner
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View article: Comment on essd-2025-546
Comment on essd-2025-546 Open
View article: High-resolution drought monitoring with Sentinel-1 and ASCAT: A case-study over Mozambique
High-resolution drought monitoring with Sentinel-1 and ASCAT: A case-study over Mozambique Open
View article: Making Sense of Uncertainties: Ask the Right Question
Making Sense of Uncertainties: Ask the Right Question Open
Earth observation data should inform decision making, but good decisions can only be made if the uncertainties in the data are taken into account. Making sense of uncertainty information can be difficult, because uncertainties represent th…
View article: DNA methylation in primary myelofibrosis is partly associated with driver mutations and distinct from other myeloid malignancies
DNA methylation in primary myelofibrosis is partly associated with driver mutations and distinct from other myeloid malignancies Open
View article: Comparing Satellite-Derived and Model-Based Surface Soil Moisture for Spring Barley Yield Prediction in Central Europe
Comparing Satellite-Derived and Model-Based Surface Soil Moisture for Spring Barley Yield Prediction in Central Europe Open
Surface soil moisture (SSM) has proven to be an important variable for the yield prediction of main crops like maize and wheat, but its value for spring barley, the third most cultivated crop in Europe, has not yet been evaluated. This stu…
View article: Comment on egusphere-2024-3491
Comment on egusphere-2024-3491 Open
View article: Evaluating the robustness of Bayesian flood mapping with Sentinel-1 data: A multi-event validation study
Evaluating the robustness of Bayesian flood mapping with Sentinel-1 data: A multi-event validation study Open
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…
View article: Using a Neural Network to Model the Incidence Angle Dependency of Backscatter to Produce Seamless, Analysis-Ready Backscatter Composites over Land
Using a Neural Network to Model the Incidence Angle Dependency of Backscatter to Produce Seamless, Analysis-Ready Backscatter Composites over Land Open
In order to improve the current standard of analysis-ready Synthetic Aperture Radar (SAR) backscatter data, we introduce a machine learning-based approach to estimate the slope of the backscatter–incidence angle relationship from several b…
View article: A Sentinel-1 SAR-based global 1-km resolution soil moisture data product: Algorithm and preliminary assessment
A Sentinel-1 SAR-based global 1-km resolution soil moisture data product: Algorithm and preliminary assessment Open
High spatial resolution of satellite-based soil moisture (SM) data are essential for hydrological, meteorological, ecological, and agricultural studies. Especially, for watershed hydrological simulation and crop water stress analysis, 1-km…
View article: Vertical roughness mapping - ALS based classification of the vertical vegetation structure in forested areas
Vertical roughness mapping - ALS based classification of the vertical vegetation structure in forested areas Open
In this paper we describe an approach to classify forested areas based on their vertical vegetation structure using Airborne Laser Scanning (ALS) data. Surface and terrain roughness are essential input parameters for modeling of natural ha…
View article: Soil Moisture Retrieval in Slow-Moving Landslide Region Using SAOCOM $L$-Band: A Radiative Transfer Model Approach
Soil Moisture Retrieval in Slow-Moving Landslide Region Using SAOCOM $L$-Band: A Radiative Transfer Model Approach Open
Radiative transfer models have been extensively applied in soil moisture studies; however, their application to L-band synthetic aperture radar (SAR) data has not been fully explored. This research introduces a comprehensive approach for s…
View article: Area-based parameterization of forest structure using full-waveform airborne laser scanning data
Area-based parameterization of forest structure using full-waveform airborne laser scanning data Open
Small-footprint airborne laser scanning (ALS) is ncreasingly used in vegetation and forest related applications. This paper explores the potential of full-waveform (FWF) ALS information (i.e. echo width and backscatter cross section) for t…
View article: The Fully-Automatic Sentinel-1 Global Flood Monitoring Service: Scientific Challenges and Future Directions
The Fully-Automatic Sentinel-1 Global Flood Monitoring Service: Scientific Challenges and Future Directions Open
View article: Tree species classification based on full-waveform airborne laser scanning data
Tree species classification based on full-waveform airborne laser scanning data Open
Airborne laser scanning is an evolving operational measurement technique for deriving forest parameters. The objective of the current study was to analyze the potential of full-waveform airborne laser scanning for tree species classificati…
View article: Improved Estimation of Temporal Dynamics in the ASCAT Backscatter-Incidence Angle Relation Using Regularization
Improved Estimation of Temporal Dynamics in the ASCAT Backscatter-Incidence Angle Relation Using Regularization Open
The relation between microwave backscatter and incidence angle estimated from observations of the advanced scatterometer (ASCAT) onboard the Metop satellites contains valuable information on the dynamics of vegetation water content and str…
View article: Assessment of time-series-derived no-flood references for sar-based Bayesian flood mapping
Assessment of time-series-derived no-flood references for sar-based Bayesian flood mapping Open
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…
View article: Hydrology on Solid Grounds? Integration Is Key to Closing Knowledge Gaps Concerning Landscape Subsurface Water Storage Dynamics
Hydrology on Solid Grounds? Integration Is Key to Closing Knowledge Gaps Concerning Landscape Subsurface Water Storage Dynamics Open
Individual approaches to observe water dynamics across our landscape, from the land surface to groundwater, are many though they individually only provide glimpses into the real world due to their specific space–time scales. Comprehensive …
View article: Exploring the actual spatial resolution of 1 km satellite soil moisture products
Exploring the actual spatial resolution of 1 km satellite soil moisture products Open
High-resolution soil moisture data is crucial in the development of hydrological applications as it provides detailed insights into the spatiotemporal variability of soil moisture. The emergence of advanced remote sensing technologies, alo…
View article: Assimilating ASCAT normalized backscatter and slope into the land surface model ISBA-A-gs using a Deep Neural Network as the observation operator: Case studies at ISMN stations in western Europe
Assimilating ASCAT normalized backscatter and slope into the land surface model ISBA-A-gs using a Deep Neural Network as the observation operator: Case studies at ISMN stations in western Europe Open
View article: Influence of irrigation on soil moisture and evaporation based on Sentinel 1 backscatter observations and an evaporation retrieval model
Influence of irrigation on soil moisture and evaporation based on Sentinel 1 backscatter observations and an evaporation retrieval model Open
Irrigation stands out as a primary driver influencing water dynamics over agricultural regions. Its estimation in time and space is complex, and satellite observations are only indirectly related to irrigation. Conveniently, Sentinel 1 SAR…
View article: Drought monitoring and early warning with satellite soil moisture data
Drought monitoring and early warning with satellite soil moisture data Open
Many developing countries strongly depend on agriculture, but the sector is challenged by the increasing occurrence of droughts. Unfortunately, advanced agricultural drought monitoring that can trigger early warning and early action …
View article: Next-generation ASCAT surface soil moisture near real-time service
Next-generation ASCAT surface soil moisture near real-time service Open
The European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) has been operationally distributing a global Surface Soil Moisture (SSM) product derived from the Advanced Scatterometer (ASCAT) on board the series of …
View article: Surface Soil Moisture retrieval via change detection using SAOCOM L-band data over the Po Valley (Italy)
Surface Soil Moisture retrieval via change detection using SAOCOM L-band data over the Po Valley (Italy) Open
Synthetic Aperture Radar (SAR) has a high potential for measuring superficial soil moisture (SSM) dynamics over regional and global scales. Taking advantage of the continuous supply of Sentinel-1 C-band acquisitions, soil moisture is opera…
View article: Improving ASCAT slope estimation methods for representing vegetation water dynamics
Improving ASCAT slope estimation methods for representing vegetation water dynamics Open
Vegetation is a key part of the water and carbon cycle and the interaction between Earth's surface and atmosphere. Understanding water dynamics within vegetation is crucial for improving models that represent vegetation processes. Previous…
View article: Scientific challenges when using SAR images for mapping of water bodies and floods everywhere and anytime
Scientific challenges when using SAR images for mapping of water bodies and floods everywhere and anytime Open
Synthetic Aperture Radar (SAR) satellites have emerged as the predominant information source for large-scale flood mapping, owing to their ability to map the Earth's surface regardless of weather conditions. Additionally, the classificatio…
View article: Sensitivity of Sentinel-1 Backscatter Signal to Vegetation Dynamics over Mozambique: A comparison with MODIS data
Sensitivity of Sentinel-1 Backscatter Signal to Vegetation Dynamics over Mozambique: A comparison with MODIS data Open
Sentinel-1, a pair of Synthetic Aperture Radar (SAR) sensors, provides valuable all-weather and day-night imaging capabilities, enabling continuous monitoring of vegetation dynamics even in the presence of cloud cover. SAR sensors excel at…
View article: A Case Study on Agricultural Drought Monitoring using ASCAT Surface Soil Moisture at 6.25 km sampling over Eastern Africa
A Case Study on Agricultural Drought Monitoring using ASCAT Surface Soil Moisture at 6.25 km sampling over Eastern Africa Open
Agriculture faces increased challenges due to intense and frequent droughts caused by climate change. Accurate and timely monitoring of drought conditions, therefore, becomes paramount to taking quick and decisive actions towards its impac…
View article: On the assesment of a new 4D soil moisture product over Basilicata Region
On the assesment of a new 4D soil moisture product over Basilicata Region Open
Climate change is already causing suffering and damage, representing the greatest current challenge and threat to our planet. As global temperatures increase, widespread shifts in weather systems occur, making events such as droughts and f…
View article: EOmaps: An open-source python package for geographic data visualization and analysis.
EOmaps: An open-source python package for geographic data visualization and analysis. Open
EOmaps is a free and open-source python package specifically tailored for geographic data visualization and analysis.The main goals of the package are twofold:Speed up and simplify the daily struggle of geographic data visualization Direct…
View article: 30 years of scatterometer soil moisture research at TU Wien: What’s next?
30 years of scatterometer soil moisture research at TU Wien: What’s next? Open
Scatterometer soil moisture research started at the Vienna University of Technology (TU Wien) 30 years ago when attempting to use the first European C-band scatterometer flown on board of the ERS-1 satellite for wet snow mapping over the C…