Adebowale Daniel Adebayo
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Earth Observation Data Scientist
Interests: Agriculture and Food security, Satellite image time series, Machine learning, Geospatial technologies.
Full Bio
I am an incoming doctoral student at the Department of Geographical Science, University of Maryland, College Park.
I will work with Dr. Catherine Nakalembe on studying and developing remote sensing and machine learning applications
for smallholder agriculture and early warning of food insecurity. Currently, I am involved with the Nasa Harvest Machine Learning team,
contributing to developing open-source workflows for scalable high-resolution cropland maps and crop area estimation.
Prior to this, I did my MSc in Copernicus Master in Digital Earth, a two years joint master's degree program,
where I studied Earth observation and Geoinformatics at the University of Salzburg, Austria
and Geo-data science at the University of Southern Brittany.
My thesis was on change detection using satellite image time series and machine learning.
Before my master's, I obtained a BTech in Remote Sensing and GIS from the Federal University of Technology, Akure, Nigeria.