Skip to main content

Earth Observation for National Agricultural Monitoring

farmers in field
What We Do

This project aims to advance national agriculture monitoring with Earth Observations (EO) data in East and Southern Africa using machine learning tools and open source data to develop baseline datasets.

Location

Kenya, Rwanda, Tanzania, Uganda

How Satellites Make This Work

The main objective of this project is to advance national agriculture monitoring by using Earth Observations (EO) data in East and Southern Africa through the development of in-season semi-automated baseline datasets derived from scalable machine learning tools and open data, both of which are needed for more accurate agriculture monitoring.


This research will advance methods for field data collection in support of in-season crop assessments and test EO-based, automated conditions as well as yield assessment. The project will strengthen the capacity of the SERVIR E&SA-Hub and the Regional Center for Mapping of Resources for Development (RCMRD) to implement and support scaling up methodologies to other use-cases, including operational national crop monitors, disaster risk, and insurance programs.

Lead
Catherine Nakalembe, University of Maryland
Team Members
Inbal Becker-Reshef, University of Maryland
Sergii Skakun, University of Maryland
Ritvik Sahajpal, University of Maryland
Michael Humber, University of Maryland
Antonio Sanchez, University of Maryland
Christina Jade Justice, University of Maryland
Co-Funding