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David Mengen

Observed name: Mengen, David
Observed institution: Forschungszentrum Jülich
ORCID: 0000-0003-4041-6599
Observed ORCID: 0000-0003-4041-6599
OpenAlex ID: A5000620585
Soil moisture retrieval from Sentinel-1: Lessons learned after more than a decade in orbit
2025 · Mehdi Rahmati, Anna Balenzano, et al. · Remote Sensing of Environment · 41
Modeling River Discharge Using Automated River Width Measurements Derived from Sentinel-1 Time Series
2020 · David Mengen, Marco Ottinger, et al. · Remote Sensing · 37
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The SARSense Campaign: Air- and Space-Borne C- and L-Band SAR for the Analysis of Soil and Plant Parameters in Agriculture
2021 · David Mengen, Carsten Montzka, et al. · Remote Sensing · 31
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High Spatial and Temporal Soil Moisture Retrieval in Agricultural Areas Using Multi-Orbit and Vegetation Adapted Sentinel-1 SAR Time Series
2023 · David Mengen, Thomas Jagdhuber, et al. · Remote Sensing · 30
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Sentinel-2 Analysis of Spruce Crown Transparency Levels and Their Environmental Drivers After Summer Drought in the Northern Eifel (Germany)
2021 · Carsten Montzka, Bagher Bayat, et al. · Frontiers in Forests and Global Change · 21
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Sarsense: A C- and L-Band SAR Rehearsal Campaign in Germany in Preparation for ROSE-L
2020 · Carsten Montzka, Cosimo Brogi, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 2
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Extended Alpha Approximation Method for the Retrieval of Soil Moisture Under Dynamic Vegetation by Multi-Incidence Angle Sentinel-1
2023 · David Mengen, Anna Balenzano, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 1
SARSense: Analyzing air- and space-borne C- and L-band SAR backscattering signals to changes in soil and plant parameters of crops
2021 · David Mengen, Carsten Montzka, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 1
Spruce Crown Transparency Levels Detected from Sentinel-2 Using Google Earth Engine
2021 · Carsten Montzka, Bagher Bayat, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 1
Soil moisture retrieval from Sentinel-1: Lessons learned after more than a decade in orbit
2026 · Rahmati, Mehdi, Balenzano, Anna, et al. · Remote Sensing of Environment
Efficient And Precise Seasonal Soil Moisture Prediction with HydracastAI
2025 · Mengen, David, Görgen, Klaus, et al. · JuSER (Forschungszentrum Jülich)
Examining the Impact of Modeling Resolution on Soil Moisture Simulation Using Multi-Faceted Remote Sensing Data
2024 · Shirin Moradi, Fang Li, et al. · EGU General Assembly Conference Abstracts
‘EEmeetsEP’ - Helmholtz Earth and Environment meets the European Parliament and Stakeholders in Brussels
2024 · Marylou Athanase, Alison Beamish, et al. · EGU General Assembly Conference Abstracts
Influence of soil hydrological conditions on the accumulation of heavy metals in tree species in the post-mining landscape of Freiberg, Germany (Saxony)
2023 · Viktoriia Lovynska, Oliver Wiche, et al.
Soil moisture simulation at the local scale using satellite remote sensing data towards sustainable irrigation
2023 · Shirin Moradi, David Mengen, et al. · EGU General Assembly Conference Abstracts
Integrating satellite remote sensing data and hydrological models by data assimilation for a near real time estimation of the soil water content at local scale.
2022 · Shirin Moradi, David Mengen, et al. · EGU General Assembly Conference Abstracts
The SARSense campaign: A dataset for comparing C- and L-band SAR backscattering behaviour to changes of soil and plant parameters in agricultural areas
2021 · David Mengen, SARSense Campaign Team · EGU General Assembly Conference Abstracts
Modelling River Discharge using Automated RiverwidthMeasurements derived from Sentinel-1 Timeseries within the Mekong Catchment
2019 · David Mengen
Works count: 22
Citation count: 165
H-index: 5
I10-index: 5
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