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2020 – today
- 2024
[c6]Anne Schneibel, Thomas Esch, Peter Friedl, Sebastian Gapp, Corentin Henry, Mattia Marconcini, Nina Merkle, Annekatrin Metz-Marconcini, Anna Orthofer, Konstanze Lechner:
User Optimized Provision of Conflict Related Satellite- and Geoinformation - Ukraine Case Study. IGARSS 2024: 2663-2667- [c5]Magdalena Halbgewachs, Anne Schneibel, Kayla Barginda, Elena Wallmann, Oliver Balthesen, Monika Gähler:
Using Satellite and Geospatial Data to Assess Accessibility and Food Security in Conflict-Affected Regions. IGARSS 2024: 3910-3914 - 2023
- [c4]Nina Merkle
, Reza Bahmanyar, Corentin Henry, Seyed Majid Azimi, Xiangtian Yuan, Simon Schopferer, Veronika Gstaiger, Stefan Auer, Anne Schneibel, Marc Wieland, Thomas Kraft:
Drones4Good: Supporting Disaster Relief Through Remote Sensing and AI. ICCV (Workshops) 2023: 3772-3776 - [c3]Anne Schneibel, Magdalena Halbgewachs, Anna Orthofer, Elena Wallmann, Marion Stellmes, Monika Gähler:
Approximating Conflict Risk from Above - Using Earth Observation and Geodata for the Assessment of Political Stability. IGARSS 2023: 833-836 - [c2]Marc Wieland, Nina Merkle, Anne Schneibel, Corentin Henry, Konstanze Lechner, Xiangtian Yuan, Seyed Majid Azimi, Veronika Gstaiger, Sandro Martinis:
AD-HOC Situational Awareness During Floods Using Remote Sensing Data and Machine Learning Methods. IGARSS 2023: 1166-1169 - [i1]Nina Merkle, Reza Bahmanyar, Corentin Henry, Seyed Majid Azimi, Xiangtian Yuan, Simon Schopferer, Veronika Gstaiger, Stefan Auer, Anne Schneibel, Marc Wieland, Thomas Kraft:
Drones4Good: Supporting Disaster Relief Through Remote Sensing and AI. CoRR abs/2308.05074 (2023) - 2022
- [c1]Anne Schneibel, Nina Merkle, Marc Wieland, Konstanze Lechner, Seyemajid Azimi, Fabian Henkel, Corentin Henry, Ralph Kiefl, Xiangtian Yuan, Monika Gähler:
User-driven flood response & monitoring information - Key findings of the Data4Human project. GHTC 2022: 46-53
2010 – 2019
- 2017
- [j1]Anne Schneibel, David Frantz, Achim Röder, Marion Stellmes, Kim Fischer, Joachim Hill:
Using Annual Landsat Time Series for the Detection of Dry Forest Degradation Processes in South-Central Angola. Remote. Sens. 9(9): 905 (2017)
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