Dr. Mikhail Urbazaev

wissenschaftlicher Mitarbeiter
  • Curriculum vitae
    • Since 01/2017 
      • Research Assistant at the department of Earth Observation of the Friedrich-Schiller University Jena
    • 01/2014 - 08/2019
      • PhD candidate in the frame of IMPRS-gBGC
    • 10/2010-09/2013
      • Study of M.Sc. Geoinformatics at the Friedrich Schiller University Jena (focus areas Remote Sensing & Geoinformatics)
    • 10/2007-09/2010
      • Study of B.Sc. Geography at the Friedrich Schiller University Jena (focus areas Remote Sensing, Geoinformatics & Soilsciences)
  • Research Interests
    • Retrieval of Biophysical Parameters from active (SAR and LiDAR) remote sensing data
    • LiDAR for forestry applications
    • Wetland and inundation mapping with remote sensing data
    • SAR time series analysis
    • Change detection analysis
    • Fusion of Optical- and SAR Data
  • Projects

    Current Projects

    • BONDSExternal link
      Balancing biOdiversity conservatioN with Development in Amazon wetlandS

    • Sentinel4REDDExternal link
      Development of integrated multitemporal processing chains for Sentinel-1/-2 data to support UNFCCC REDD+ MRV Systems

    Completed Projects

    • Multi-scale Remote Sensing Retrieval Methods for Carbon Stock Estimates along a Transect from Savannah to Tropical Biomes
    • SAR Massive Open Online Course
      Echoes in Space. Introduction to Radar Remote Sensing.
    • Sib-Lab
      The Central Siberian Global Change Laboratory
  • Publications
    • Publications


    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. ViewExternal link

    GÓMEZ, D., SALVADOR, P., SANZ, J., URBAZAEV, M. & J. L. CASANOVA (2020): Analyzing ice dynamics using Sentinel-1 data at the Solheimajoküll Glacier, Iceland. GIScience & Remote Sensing. ViewExternal link


    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. ViewExternal link

    STELMASZCZUK-GÓRSKA, M. A., URBAZAEV, M., SCHMULLIUS, C. & C. THIEL (2018). Estimation of Above-Ground Biomass over Boreal Forests on Siberia Using Updated In Situ, ALOS-2 PALSAR-2, and RADARSAT-2 Data. Remote Sensing, 10(10), 1550. ViewExternal link

    URBAZAEV, M., CREMER, F., MIGLIAVACCA, M., REICHSTEIN, M., SCHMULLIUS, C. & C. THIEL (2018). Potential of Mulit-Temporal ALOS-2 PALSAR-2 ScanSAR Data for Vegetation Height Estimation in Tropical Forests of Mexico. Remote Sensing, 10(8), 1277. ViewExternal link

    URBAZAEV, M., THIEL, C., CREMER, F., DUBAYAH, 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. ViewExternal link


    ODIPO V. O., NICKLESS, A., BERGER, C., BAADE, J., URBAZAEV, M., WALTHER, C. & C. SCHMULLIUS (2016): Assessment of Aboveground Woody Biomass Dynamics Using Terrestrial Laser Scanner and L-Band ALOS PALSAR Data in South African Savanna. Forests, 7(12), 294. ViewExternal link

    URBAZAEV, M., THIEL, C., MIGLIAVACCA, M., REICHSTEIN, M., RODRIGUEZ-VEIGA, P. & C. SCHMULLIUS (2016). Improved Multi-Sensor Satellite-Based Aboveground Biomass Estimation by Selecting Temporally Stable Forest Inventory Plots Using NDVI Time Series. Forests, 7(8), 169. ViewExternal link


    URBAZAEV, M., THIEL, C., MATHIEU, R., NAIDOO, L., LEVICK, S., SMIT, I., ASNER, G. & C. SCHMULLIUS (2015): Assessment of the mapping of fractional woody cover in southern African savannas using multi-temporal and polarimetric ALOS PALSAR L-band images. Remote Sensing of Environment, 166, 138-153. ViewExternal link