David Montero

David Montero

PhD Candidate / Earth System Data Science

Faculty of Physics and Earth Sciences

I’m a PhD student at RSC4Earth ( University of Leipzig) working on the “Remote Sensing and Machine Learning” subproject of the Digital Forest project. My work consists on deriving reliable and interpretable forest stress indicators from satellite imagery by using state-of-art Machine Learning methods. I’ve worked on Remote Sensing, Photogrammetry, GIS and Data Science applied to Land Use Land Cover (LULC), agriculture and water resources. Lately, I’ve been working on the development of open-source software for geospatial data processing using cloud-based services such as Google Earth Engine (e.g. eemont, spectral, eeExtra).

Interests

  • Satellite and Airbone Remote Sensing
  • Machine Learning / Deep Learning
  • Data Science

Education

  • MSc in Data Science, 2020

    University of Cantabria, Santander, Spain

  • BEng in Topographic Engineering, 2016

    University of Valle, Cali, Colombia

Publications (11)