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MSc Applied Earth Observation and Geoanalysis

Julius-Maximilians-Universität Würzburg, Würzburg, Germany

• Programming and Statistics for Remote Sensing and GIS.
• Digital Image Analysis and GIS.
• From Field Measurements to Geoinformation.
• Applications of Earth Observation.
  • Land and Water Management.
  • Remote Sensing of Urban Areas.
• Advanced Methods and Modeling.
  • Spatial Python for Remote Sensing.
  • Radar Remote Sensing.
  • LiDAR remote sensing.
  • Remote Sensing of Urban Areas.
  • UAV Data in Remote Sensing.
  • Cloud Computing in Remote Sensing.
  • Advanced Spatial Analysis for Geoscientists.

Engineering degree in Georesources & Environment

National School of Engineers of Sfax, Sfax, Tunisia

BSc. Earth Sciences

Faculty of Sciences of Sfax, Sfax, Tunisia

Remote Sensing Research Assistant

Julius-Maximilians-Universität Würzburg, Würzburg, Germany

• Automated the download for ready to use weather and satellite data.
• Pre and post processing of satellite data.
• Land cover classification and geospatial analysis in GEE, Python and R.
• Technical and research assistance.

Remote Sensing Product Developer

SuperVision Earth GmbH, Darmstadt, Germany

• Contributed to an auto-processing pipeline for PlanetScope and Skysat satellite imagery.
• Optimised the reporting workflow to the customers.
• Implementation of software testing and script optimisation.
• Geospatial analysis, management and visualisation.

MSc. Thesis

Julius-Maximilians-Universität Würzburg, Würzburg, Germany

• Thesis Title | PM2.5 Prediction Using Remote Sensing and Meteorological Data Across Bavaria.
• Satellite and climate data processing.
• Data cleaning & preparation.
• Applied and evaluated Machine Learning algorithms in Python.
• Spatial prediction on xarray data.
• Comprehensive analysis of the results leveraging statistical analysis and visualisation for meaningful insights.

MSc. Internship, German Aerospace Center (DLR)

Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, Germany

• Geospatial analysis with socio-economic data.
• Developed a processing workflow for the spatial analysis of urban growth.
• Spatial analysis with land cover data and satellite imagery.
• Task optimisation using python, R and Google Earth Engine API.

Engineering Degree Thesis

National School of Engineers of Sfax, Sfax, Tunisia

• Thesis Title | Soil Moisture Assessment Using Thermal-Optical Remote Sensing Data and Ground Truth Measurements. A Case Study in the Region of Gabes, South-East Tunisia.
• Field work sampling.
• Satellite data processing and spectral analysis.
• Statistical analysis for soil moisture prediction.

spatial-kfold

• A Python Package for Spatial Resampling Toward More Reliable Cross-Validation in Spatial Studies.
• Install with pypi

Australian Bushfire App

• Shiny application for tracking and analysing bushfires using spatial and satellite data.
• Source code available on Github