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Salim Soltani is the Chair of Sensor-based Geoinformatics at the University of Freiburg. His research encompasses a range of interests including exploring synergies in citizen science data, utilizing computer vision methods for mapping various plant species, and analyzing drone imagery. He is particularly focused on remote sensing data derived from multi-sensor data collection and processing techniques, aiming to improve biodiversity monitoring. He has been involved in several associated research projects, notably BigPlantSense, which emphasizes the integration of big data and deep learning in remote sensing applications. Before his current position, Salim was a PhD candidate at the Remote Sensing Centre Earth System Research at Leipzig University. He also holds a Master’s degree in Remote Sensing and Geoinformatics from Wuerzburg University. His background includes extensive experience in GIS and climate-related projects while working with the United Nations Environment Programme in Afghanistan. Through his academic career, Salim has established a solid foundation in remote sensing technologies, contributing to significant advancements in the field.
University of Freiburg • Freiburg
Working as a data engineer in the field of sensor-based geoinformatics.
Remote Sensing Centre, Leipzig University • Leipzig
Conducting research focused on remote sensing and geo-information sciences.
United Nations Environment Programme • Afghanistan
Assisted in GIS and climate-related projects.
Focus on Advanced Quantum Mechanics and experimental/theoretical electives.