Science for Restoration
Assistance in changing management structures, accounting habits or HR-related workflows for running an international NGO
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KD
KD

Science for Restoration

 

Ecosystem Restoration must be based on scientific principles. It is thereby crucial to collect and analyse data during the whole duration of the Monitoring and Reporting Period of a project and cross-check this data against your set of monitoring indicators.

 

Publishing your data – be it GPS-Photos, 360° Drone Panoramas or Drone Photogrammetric maps will likely unlock funding for your work. Impact reports can help to support your narrative and to show if and how your restoration work has a positive impact.

Project Design and Management

 

  • Define restoration goals and milestones
  • Strategize a clear pathway for successful implementation
  • Risk assessment and risk mitigation
  • Monitoring budgets following your requirements

Monitoring Strategy

 

  • Establish used indicators
  • Aerial surveying and data analysis
  • Data management and evaluation
  • Transparent data visualization

About Me

Having studied Biology and Chemistry with a Master’s equivalent (Staatsprüfung) at the Albert-Ludwigs-Universität Freiburg, Germany, I always wanted to push for adoption of scientific principles in real-world applications.

 

During teaching of High School I volunteered for several years at Wells for Zoë, where I co-designed their monitoring methods based on GPS-Photos, Drone Photogrammetric maps and 360° Panoramas together with Dr. Éamonn Coyne. Leveraging ground truth data has helped Wells for Zoë since then to scale funding and to become a Restoration champion of TerraFund’s afr100 as well as MasterCard’s Priceless Planet Coalition and various restoration projects with One Tree Planted and ecosia. Using this methodology, WfZ has contributed towards the Recipe for Land Restoration Monitoring by the World Resources Institute and the guide-document of TerraFund for afr100’s MRV-Process.

 

Scientific mapping and systematic data evaluation is a crucial step for any restoration project on a landscape level which is why I performed field trials at Wells for Zoë in cooperation with industry leaders like Pix4D and SPH Engineering, e.g. for AI-based seedling detection.

 

To ensure scalability and wider adoption of similar monitoring methods I co-designed the GPS-Photo-based field collection system Flority, where GPS-Photos and GPS-Polygons can be collected.