Jorge Luis Rodríguez Galvis

PhD Students

PhD Student, Environmental Science and Engineering


Research Interests

Jorge's research focuses on issues related to the environment, precision agriculture, and Earth observation technologies. He has employed unmanned aerial vehicles (UAVs) to monitor crops and tropical alpine ecosystems.

Selected Publications

  • Assessment of potato late blight from UAV-based multispectral imagery Jorge Rodriguez, Iván Lizarazo, Flavio Prieto, Victor Angulo-Morales. Computers and Electronics in Agriculture, Volume 184, 106061, ISSN 0168-1699, (2021)
  • Automatic Detection and Mapping of Espeletia Plants from UAV Imagery J. Rodriguez, C. Zhang, I. Lizarazo and F. Prieto. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 2831-2834, (2021)
  • Development of Low-Cost Ground Control System for UAV-Based Mapping J. Rodriguez-Galvis, V. Angulo-Morales, E. Gaona-García and I. Lizarazo-Salcedo. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, pp. 5111-5114, (2020)
  • Automatic mapping of land surface elevation changes from UAV-based imagery Ivan Lizarazo, Victor Angulo, Jorge Rodríguez. International Journal of Remote Sensing, 38:8-10, 2603-2622, (2017)


  • M.Sc. in Geomatics, Universidad Nacional de Colombia, Bogotá, Colombia, 2021
  • Cadastral Engineering and Geodesy, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia, 2015

Professional Profile

  • 2019-2022: Consultant, United Nations Office on Drugs and Crime (UNODC), Colombia
  • 2016-2019: Consultant, Project on Industrial Hygiene Pontificia Universidad Javeriana - Ecopetrol, Colombia

Scientific and Professional Membership

  • Hydrology, Agriculture and Land Observation (HALO) group
  • IEEE Geoscience and Remote Sensing Society

KAUST Affiliations

  • Water Desalination and Reuse Center (WDRC)
  • Division of Biological and Environmental Sciences and Engineering (BESE)​​

Research Interests Keywords

Remote Sensing Software Engineering Information Science