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Mikhail Urbazaev

wiss. Mitarbeiter
M.Sc.
Mikhail Urbazaev


Anschrift

Institut für Geographie
Lehrstuhl Fernerkundung
Raum 230
Grietgasse 6
07743 Jena

Tel.: +49 3641-9-48885
Fax: +49 3641-9-48882
Sprechzeiten:
on appointment (e-mail)

Mikhail Urbazaev


 



Forschungsschwerpunkte

  • Retrieval of Biophysical Parameters from active (SAR and LiDAR) remote sensing data
  • Multi-scale remote sensing of savanna ecosystems
  • Fusion of Optical- and SAR Data
  • Change detection analysis

Aktuelle Projekte

  • Sentinel4REDD: Development of integrated multitemporal processing chains for Sentinel-1/-2 data to support UNFCCC REDD+ MRV Systems
  • Multi-scale Remote Sensing Retrieval Methods for Carbon Stock Estimates along a Transect from Savannah to Tropical Biomes

Abgeschlossene Projekte

  • SAR Massive Open Online Course: Echoes in Space. Introduction to Radar Remote Sensing. 
  • The Central Siberian Global Change Laboratory "Sib-Lab"

Curriculum vitae

since 01/2014 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)

Publikationen

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. doi:10.3390/rs10101550

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. doi:10.3390/rs10081277

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. doi:10.1186/s13021-018-0093-5

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

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. doi:10.3390/f7120294

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. doi:10.3390/f7080169

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. doi:10.1016/j.rse.2015.06.013