At OpenGeoHub, Wanderson supports the foundation's current and future European Commission-funded and other international projects where there is a need to develop new solutions for geocomputing, optimize and automate modeling frameworks and deliver scientific outputs.
Specific tasks include but are not limited to developing code and datasets that aim at:
- Developing models and applications with soil data with a special focus on soil remote and proximal sensing data,
- Increasing modeling accuracy using machine learning especially for the purpose of mapping and monitoring soil organic carbon,
- Developing fully automated methods of soil spectroscopy data calibration at global and regional scales,
- Develop frameworks for the integration of air-borne soil imaging and proximal soil sensing,
- Implementing parallelisation in cluster or cloud solutions (Google Earth Engine, Amazon AWS, OVH),
- Implementation of predictive soil mapping frameworks,
- Helping with data preparation, making compilations of global and regional datasets,
After finishing the PhD at the University of São Paulo in 2020, Wanderson has joined OpenGeoHub as a post-doctoral researcher in the area: integrated proximal and remote sensing of soil. Besides the above-mentioned tasks, his function also includes the publication of results in peer-reviewed journals, training and workshops, and supervision of junior staff.
- 2021–present: Post-doctoral researcher at OpenGeoHub Foundation,
- Jan 2017–Nov 2020: Research assistant at “Luiz de Queiroz” College of Agriculture/ University of São Paulo,
- Aug 2016–Nov 2020: Research assistant at the Geotechnologies on Soil Science Group,
- Aug 2013–Nov 2014: Undergraduate Sandwich student at the University of Sydney,
- Jan 2014–Nov 2014: Internship at the University of Sydney,