Dr. Mikhail Urbazaev

• 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)

• 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

Current Projects

• BONDS
  Balancing biOdiversity conservatioN with Development in Amazon wetlandS
  
  
• Sentinel4REDD
  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

2020

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

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. 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. View

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. View

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. View

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. View

2016

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. View

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. View

2015

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. View