Function and Responsibilities:

• Development of a preprocessing chain for the hyperspectral sensor EnMAP (EnMAP Processing Tool - EnPT)
• Development of product validation tools for EnMAP (EnVAL)
  
• Development of automatic satellite image processing workflows for GeoMultiSens, FINDR and MIPSTR
  
• Geometric and radiometric fusion of multi-sensoral satellite images

Research Interests:

• Big Data processing of multispectral remote sensing data
  
• Geo-processing / Software-Development (Python / Matlab)
• Hyperspektral remote sensing
• Cloud processing
  
• Sensor sensitivity analyses
  

Career:

• seit 2013        Scientific employee at GFZ Potsdam
• 2017 - 2022    PhD at Humboldt University Berlin
  • Dissertation: Automated and robust geometric and spectral fusion of multi-sensor, multi-spectral satellite images

Projects:

• GeoMultiSens: Big Data Methods for multi sensor processing of Earth observation data
• Environmental Mapping and Analysis Program (EnMAP)
  • EnPT
  • ENVAL
    
• FERN.Lab: Remote sensing for sustainable use of resources – scientifically sound, transdisciplinary and application-oriented
  • FINDR
  • MIPSTR

Software:

• AROSICS - Automated and Robust Open-Source Image Co-Registration Software (repository)
• gms_preprocessing - Spatial and spectral homogenization of satellite remote sensing data (pre-processing chain within GeoMultiSens)
• EnPT - EnMAP Processing Tool - A Python package for pre-processing of EnMAP Level-1B data to Level-2A (repository)
• SpecHomo - Spectral homogenization of multispectral satellite data (repository)
  
• EnVAL - EnMAP product validation tool
• findr_homo - Spatial and spectral homogenization of remote sensing data as used in the FindR project
• heatr_homo - Thermal data homogenization for the MIPSTR project
• ...