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David Montero

Research Fellow

Modellierungsverfahren in der Fernerkundung
Institutsgebäude
Talstraße 35, Room 2-10
04103 Leipzig

Abstract

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).

Professional career

  • 09/2015 - 09/2016
    Undergraduate Research Student, Colombian Sugarcane Research Center, Florida, Colombia
  • 09/2016 - 01/2019
    GIS Assistant, Colombian Sugarcane Research Center, Florida, Colombia
  • 01/2019 - 09/2019
    Remote Sensing Analyst, Colombian Sugarcane Research Center, Florida, Colombia

Education

  • 02/2011 - 11/2016
    BEng in Topographic Engineering, University of Valle, Cali, Colombia
  • 10/2019 - 06/2020
    MSc in Data Science, University of Cantabria, Santander, Spain