Ms Clara Rajadel-Lambistos | Agricultural and Biological Sciences | Best Researcher Award
Data Sciencist at MantleLabs , Austria
Carlos Rajadel is a dedicated Data Scientist specializing in remote sensing research for environmental monitoring at Mantle Labs in Austria đ. His expertise spans from forest mapping to soil organic carbon assessment for projects like REDD+ and ARR.
profile:
Education:
- MSc in Agricultural Engineering, Universidad PolitĂ©cnica de Valencia, 2018 – 2020
- Bachelorâs Degree in Agricultural Engineering, Universidad PolitĂ©cnica de Valencia, 2014 – 2018
Professional Experience:
Data Scientist | Mantle Labs, Austria | Sep 2021 – present Conducting remote sensing research for REDD+ and environmental projects. Remote Sensing Technician | UniversitĂ€t fĂŒr Bodenkultur, Austria | Oct 2020 – Apr 2022 Developed flood detection algorithms and implemented crop classification techniques using cloud computing.
Technical Skills:
- Programming Languages: Python, Java
- Cloud Platforms: AWS
- GIS: QGIS, GDAL, rasterio, Google Earth Engine
- Machine Learning: TensorFlow, Keras, scikit-learn, SciPy
- Other: GitHub, Docker, Linux, VIM, AutoCAD
Languages:
- Native in Spanish
- Fluent in English (ACE Cambridge)
- Upper Intermediate in German
Academic Contributions:
2024 Publication: Rajadel-Lambistos et al., “Within-season crop monitoring at continental scale utilizing new gap-filled Landsat temporal series,” International Journal of Digital Earth, 17(1). 2020 Oral Presentation: AGU FALL Meeting on “Early crop mapping at continental scales derived from reconstructed high spatial resolution images.” 2020 Poster Presentation: Geo for Good Summit on “Looking for near real-time crop high resolution mapping classification using GEE.”
Training and Workshops:
- Actively engaged in various workshops and conferences focusing on remote sensing, GIS, and machine learning applications in agriculture and environmental sciences.