Salim Soltani
Function
- Data engineer/analyst
Contact
- salim.soltani@geosense.uni-freiburg.de
- Tennenbacher Str. 4, 79106 Freiburg
- Room 03.019
Main interests
- Exploring synergies between citizen science data and computer vision methods for mapping plant species in drone imagery
- Computer Vision
- Remote Sensing
- Data: Multi-sensor data collection and processing
- Biodiversity Monitoring
- Citizen Science data, UAV, Satellite data
Short CV
- since 2024: Data engineer, Sensor-based Geoinformatics, University of Freiburg
- 2021-2024: PhD candidate, Remote Sensing Centre for Earth System Research, Leipzig University
- 2017-2020: M.Sc. Remote Sensing – Geoinformatics, Wuerzburg University
- 2014-2017: GIS & Climate Assistant, United Nations Environment Programme, Afghanistan
- 2010-2014: B.Sc. Physical Geography – Remote Sensing , Bamyan University, Afghanistan
Associated research projects
- BigPlantSense (444524904) – Assessing the Synergies of Big Data and Deep Learning for the Remote Sensing of Plant Species