Marion Stellmes

Universität Trier

Papers

1

Total Citations

99

H-Index

1

About

Marion Stellmes is a leading figure in remote sensing and environmental geography, whose work centers on the analysis of large-scale land surface dynamics using satellite time series. Her primary research areas include radiometric preprocessing of multisensor satellite data, land degradation monitoring, and the impacts of climate and land-use change on dryland ecosystems. Stellmes made a landmark contribution with her development of an operational radiometric Landsat preprocessing framework for large-area time series applications (2016, 99 citations). This framework enables the processing of vast data volumes by integrating a modified Fmask algorithm for cloud and cloud shadow detection and deriving surface reflectance using Tanré’s radiative transfer formulation, including adjacency effects. Her work has been instrumental in advancing the accuracy and scalability of Landsat data analysis, supporting global environmental monitoring. With a strong record of high-impact publications, Stellmes’ research has been widely cited by the remote sensing community, reflecting its foundational role in land cover change studies. Her achievements underscore a career dedicated to bridging technical preprocessing methods with pressing ecological questions, making her a key resource for students and researchers exploring satellite-based Earth observation.

Research Focus

Key Achievements

1
H-Index
1
Papers
99
Total Citations
99
Avg Citations/Paper
🏆 Most Cited Paper
An Operational Radiometric Landsat Preprocessing Framework for Large-Area Time Series Applications
99 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Universität Trier

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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