Stelmaszczuk-Górska, M. A.; Urbazaev, M.; Schmullius, C.; Thiel, C.: 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 (2018)
Urbazaev, M.; Cremer, F.; Migliavacca, M.; Reichstein, M.; Schmullius, C.; Thiel, C.: Potential of multi-temporal ALOS-2 PALSAR-2 ScanSAR data for vegetation height estimation in tropical forests of Mexico. Remote Sensing 10 (8), 1277 (2018)
Cremer, F.; Urbazaev, M.; Berger, C.; Mahecha, M. D.; Schmullius, C.; Thiel, a. C.: An image transform based on temporal decomposition. IEEE Geoscience and Remote Sensing Letters 15 (4), pp. 537 - 541 (2018)
Urbazaev, M.; Thiel, C.; Cremer, F.; Dubayah, R.; Migliavacca, M.; Reichstein, M.; Schmullius, C.: 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 (2018)
Odipo, V. O.; Nickless, A.; Berger, C.; Baade, J.; Urbazaev, M.; Walther, C.; Schmullius, C.: Assessment of aboveground woody biomass dynamics using terrestrial laser scanner and L-band ALOS PALSAR data in South African Savanna. Forests 7 (12), 294 (2016)
Urbazaev, M.; Thiel, C.; Mathieu, R.; Naidoo, L.; Levick, S. R.; Smit, I.; Asner, G.; Schmullius, C.: 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, pp. 138 - 153 (2015)
Urbazaev, M.: Estimation of forest structure parameters in Mexico by integration of remote sensing and forest inventory data. Dissertation, Friedrich Schiller University Jena, Jena (2019)
In the annual ranking of the world's most cited and thus most influential scientists, five authors from our institute are once again represented in 2024.
David Hafezi Rachti was awarded twice: for his EGU poster with this year’s “Outstanding Student and PhD candidate Presentation” (OSPP) and for his Bachelor thesis, he received the 1st prize of the “Young Climate Scientist Award 2024”.
The Chapter of the Order has elected the writer, philosopher and filmmaker Alexander Kluge and the mathematician Gerd Faltings as domestic members of the Order and the geologist Susan Trumbore and the literary scholar Stephen Greenblatt as foreign members.
From the Greek philosopher Aristotle to Charles Darwin to the present day, scientists have dealt with this fundamental question of biology. Contrary to public perception, however, it is still largely unresolved. Scientists have now presented a new approach for the identification and delimitation of species using artificial intelligence (AI).
A research team led by the German Centre for Integrative Biodiversity Research (iDiv) and Leipzig University has developed an algorithm that analyses observational data from the Flora Incognita app. The novel can be used to derive ecological patterns that could provide valuable information about the effects of climate change on plants.
On June 24, Prof. Dr. Henrik Hartmann, head of the Julius Kühn Institute for Forest Protection and former group leader at the Max Planck Institute for Biogeochemistry, received an important award for his scientific achievements in the field of forestry. Our warmest congratulations!
The new research project "PollenNet" aims to use artificial intelligence to accurately predict the spread of pollen. In order to improve allergy prevention, experts are bringing together the latest interdisciplinary findings from a wide range of fields.
Plant observations collected with plant identification apps such as Flora Incognita allow statements about the developmental stages of plants - both on a small scale and across Europe.