| Felix Cremer PhD student in Remote Sensing Biosphere-Atmosphere Interactions and Experimentation and Hydrology Biosphere Climate Interactions groups room: C*.*** (tower) phone: +49 3641 57**** fax: +49 3641 57**** email: fcremer(at)bgc-jena.mpg.de | Attach:image.jpg Δ |
Research interests | Current Research | Past Research | Publications
Research Interest:
- Sentine-1 Time series
- Datacubes for high resolution earth observation data
Current Research:
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Past Research:
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Publication
Peer-reviewed
2020
Thiel, C., Müller, M. M., Berger, C., Cremer, F., Dubois, C., Hese, S.,Baade, J., Klan, F. & Pathe, C. (2020). Monitoring Selective Logging in a Pine-Dominated Forest in Central Germany with Repeated Drone Flights Utilizing A Low Cost RTK Quadcopter. Drones, 4(2), 11. View
Cremer, F., Urbazaev, M., Cortes, J., Truckenbrodt, J., Schmullius, C. & C. Thiel (2020): Potential of Reccurrence Metrics from Sentinel-1 Time Series for Deforestation Mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. View.
2018
| Cremer, F., Urbazaev, M., Berger, C., Mahecha, M., Schmullius, C. & C. Thiel (2018): An Image Transform Based on Temporal Decomposition. IEEE Geoscience and Remote Sensing Letters, PP(99):1-5. doi:10.1109/LGRS.2018.2791658. |
| Urbazaev, M., Cremer, F., Migliavacca, M., Reichstein, M., Schmullius, C. & C. Thiel (2018). Potential of Multi-Temporal ALOS-2 PALSAR-2 ScanSAR Data for Vegetation Height Estimation in Tropical Forests of Mexico. Remote Sensing, 10(8), 1277. doi:10.3390/rs10081277. |
| Urbazaev, M., Thiel, C., Cremer, F., Dubaya, R., Migliavacca, M., Reichstein, M. & C. Schmullius (2018). Estimation of forest aboveground biomass and uncertainties by integration of field measurements, airborne LiDAR, and SAR and optical satellite data in Mexico. Carbon Balance and Management, 13(1):5. doi:10.1186/s13021-018-0093-5. |
Conference Contribution
Dubois, C., Müller, M. M., Pathe, C., Jagdhuber, T., Cremer, F., Thiel, C., & Schmullius, C. (2020). Characterization of land cover seasonality in Sentinel-1 time series data. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 5(3). View