Yoseline studied Cadastral Engineering and Geodesy at the District University ‘Francisco Jose de Caldas’ in Bogota, Colombia. She spent 2 years as an academic researcher for the project "Integrated Illicit Crops Monitoring System (SIMCI)", at the United Nations Office on Drugs and Crime. In 2012, Yoseline receive her MSc degree in Geomatics from the National University of Colombia (UNAL). She was a professor of remote sensing and photogrammetry courses at the District University in 2012. Over the last 9 years, Yoseline worked as a Geographical Information System Specialist for Occidental Petroleum Corporation (OXY). In early 2016, she joined KAUST as PhD Student.
Hyperspectral remote sensing for biophysical metrics of crops. Modern agricultural production relies on the monitoring crop status by observing and measuring variables such as soil condition, plant health and disease, crop yield, etc. Remote sensing techniques have been applied to inform upon the various cycles of crop development, with a range of vegetation indicators established using multi and hyper-spectral remote sensing data. However, new techniques that combine both high spatial and high spectral resolution data are required to enhance vegetation retrieval and to understand how this might be correlated with the biophysical and biochemical characteristics of plants. This project aims to integrate data from hyper-spectral sensors onboard satellite and UAV platforms to improve these biophysical metrics (e.g., leaf area index, leaf senescence, biochemistry of pigments, water and dry leaf matter) and deliver improved agricultural management
Research Interests Keywords
Satellite Remote Sensing