José Ochoa-Brito is an Ecuadorian physical geographer who works in the fields of environmental remote sensing, spatial data science and vegetation spectroscopy. He has wide experience in diverse research projects using optical and radar satellite data with machine learning methods. His most recent work includes land cover change time series and forest quantification in Pastaza, Ecuador for the project “Kawsay Ñampi,” University of California, Merced, and forest dynamics and land use modeling in the Amazon region as a SESYNC research fellow. He has also worked in evaluating and developing evapotranspiration (ET) models in humid subtropical and semi-arid climates within the DEVELOP NASA’s Applied Sciences Program, and for the Department of Land, Air, and Water Resources, University of California, Davis (UC Davis) as a graduate student researcher. José holds a PhD in Geography from UC Davis, a Master in Remote Sensing from Universitat de Valencia, and BEng. in Computer Sciences from Universidad de Cuenca.