Dipl.- Math. Felix Cremer

wissenschaftlicher Mitarbeiter
Felix Cremer
Felix Cremer
+49 3641 9-48924
+49 3641 9-48882
Room 230
Grietgasse 6
07743 Jena
Curriculum vitae Show content
  • Since 07/2015
    Scientific assistant/PhD student at the institute of geography, FSU Jena, chair in remote sensing
  • 2007-2014
    Diploma studies of mathematics at the University Leipzig
Research Interests Show content
  • Image Processing
  • Speckle Filter
  • Synthetic Aperture Radar (SAR) Processing
  • Time Series Analysis of Spatial Data
Projects Show content
  • Sentinel4REDD
    Utilisation of Sentinel-1/2 Data for the Delineation of REDD+ Products
  • HyperSense (DLR)
Publications Show content
  • Publications


DUBOIS, C., MUELLER, M. M., PATHE, C., JAGDHUBER, T., CREMER, F., THIEL, C., & SCHMULLIUS, C. (2020). Characterization of land cover seasonality in Sneintle-1 time series data. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 5(3). View

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. Drones4(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.


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.

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