Mohammad Salim Soltani

Mohammad Salim Soltani

Wiss. Mitarbeiter

Fernerkundung in der Geo- und Ökosystemforschung
Institutsgebäude Theologie
Martin-Luther-Ring 3-5, Raum 340
04109 Leipzig

Berufliche Laufbahn

  • seit 01/2021
    My doctoral research explores the potential of Machine Learning utilization for the detection of plant species using high-resolution remote sensing data. In this research framework, I am following the below research axises:Exploiting machine and deep learning specifically Convolutional Neural Networks(CNN) capabilities for detection of plant species using high-resolution Unmanned Aerial Vehicle (UAV), Airborn, and satellite data.Exploring CNN and high-resolution data effectiveness and limitat
  • 09/2018 - 10/2018
    Internship • German Aerospace Center (DLR), Oberpfaffenhofen München, Germany
  • 05/2019 - 07/2019
    Innovation Laboratory (UAV)• Department of Remote Sensing, University of Wuerzburg, Germany
  • 06/2020 - 08/2020
    Image Analyst • EFTAS Fernerkundung Technologietransfer GmbH , Germany
  • 01/2015 - 07/2017
    GIS & Climate Assistant • United Nations Environment Programme, Kabul
  • 07/2014 - 01/2015
    Bachelor thesis internship• United Nations Environment Programme
  • 03/2011 - 12/2014
    BSc Geography• Bamyan University, Bamyan, Afghanistan

Ausbildung

  • 10/2017 - 08/2020
    M.Sc. Remote Sensing• University of Würzburg, Würzburg, Germany
  • 06/2017 - 10/2017
    German Language Course• Carls Duisberg Centrum, Muenchen, Germany
  • 06/2016
    GIS- Summer School• German Kazakh University, Almaty, Kazakhstan