Inhalt des Dokuments
M.Sc. Stenka Vulova
[1]- © Stenka Vulova
Wissenschaftliche Mitarbeiterin
Tel.: +49 (0)30 / 314 - 27 85 1
E-Mail: stenka.vulova(at)tu-berlin.de
Raum: EB 234
| 2008-2012 |
Bachelor of Science Degree in Ecology and Bachelor
of Arts Degree in Anthropology at the University
of Georgia (U.S.), Summa Cum Laude, Highest
Honors |
| 2009 | Research
Assistant at the Sustainable Human Ecosystems
Laboratory (SHEL), University of Georgia
(U.S.) |
| 2012 |
Environmental Intern at the Georgia
Department of Defense (DOD), Marietta, Georgia (U.S.) |
| 2013-2014 |
Deputy Assistant Information Manager at the
Sustainable Human Ecosystems Laboratory (SHEL), University of Georgia
(U.S.) |
| 2014-2015 | Environmental
Analyst at Adrian Collaborative, LLC (professional planning
firm) in Duluth, Georgia (U.S.) |
| 2015 |
Information Management Technician at the
Sustainable Human Ecosystems Laboratory (SHEL), University of Georgia
(U.S.) |
| 2015-2017 | International
Master in Applied Ecology (IMAE) Erasmus Mundus Master Course
at the University of Poitiers (France) and University of Kiel
(Germany); courses in Ecuador, Poland, Finland, and India
|
| 2017-2018 | Student
Research Assistant for the German Research Foundation
(DFG)-funded “Food Deserts” project and for the Earth Observation
and Modelling (EOM) Laboratory, University of Kiel
(Germany) |
| since
2018 | Doctoral student at
the DFG Research Training Group 'Urban Water Interfaces'
(UWI) |
Research topics:
- Machine learning and deep learning
- Remote sensing for climatological/ hydrological applications (satellite/ UAV)
- Remote sensing of vegetation
- Urban remote sensing
- Heat and vapor fluxes (air temperature, evapotranspiration) from remote sensing data
- Crowdsourcing/ volunteered geographic information
Publications:
2021
Vulova, S., Meier, F., Duarte Rocha, A., Quanz, J., Nouri, H., and Kleinschmit, B. (2021). Modeling urban evapotranspiration using remote sensing, flux footprints, and artificial intelligence. Science of The Total Environment. vol. 786. doi: 10.1016/j.scitotenv.2021.147293 [2]
Link: https://www.sciencedirect.com/science/article/pii/S0048969721023640 [3]
2020
Vulova, S., Meier, F., Fenner, D., Nouri, H. and Kleinschmit, B. (2020). [4]Summer Nights in Berlin, Germany: Modeling Air Temperature Spatially With Remote Sensing, Crowdsourced Weather Data, and Machine Learning [5]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 5074-5087. doi: 10.1109/JSTARS.2020.3019696 [6]
2019
Vulova, S., Kuhlemann, L.M., Tetzlaff, D., Soulsby, C. and Kleinschmit, B. (2019). Assessment of evapotranspiration from urban vegetation across space and time: a case study in Berlin. 2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp). Shanghai, China. doi: 10.1109/Multi-Temp.2019.8866903 [7]
Vulova, S. and Kleinschmit, B. (2019). Thermal behavior and its seasonal and diurnal variability of urban green infrastructure in a mid-latitude city - Berlin. 2019 Joint Urban Remote Sensing Event (JURSE). Vannes, France. doi: 10.1109/JURSE.2019.8809011 [8]
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0048969721023640