Felix Cremer PhD student in Remote Sensing Model-Data Integration room: B 3.31 (IT Paradies) phone: +49 3641 578948 email: fcremer(at)bgc-jena.mpg.de | ![]() |
Research interests | Current Research | Publications
I am working on the analysis of hypertemporal Sentinel-1 time series data to better understand processes on the land surface. I am mainly using the Empirical Mode Decomposition to decompose the Sentinel-1 data into different temporal frequencies. By doing that we can separate processes with different temporal behaviours to look at them separately.
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. |
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