High resolution remote sensing of agricultural systems for improved water and food security

High resolution remote sensing of agricultural systems for improved water and food security

Internship Description

A range of high-resolution (1-10m) space based commercial systems have recently become available for earth observation. There is considerable capacity to develop products on various terrestrial surface features from these, including vegetation health and stress, land cover changes and even digital surface models. Here we will explore some of these opportunities using high-resolution commercial as well as government based satellite systems, with a focus on applications in precision agriculture.

Deliverables/Expectations

Skill development in programming (Python, Matlab); analysis and interpretation of high-resolution satellite imagery; derivation of geospatial data sets for food and water security assessment; knowledge development related to remote sensing, water resources, agricultural systems, machine learning and big data analysis. 

Faculty Name

Matthew McCabe

Field of Study

Computer science, civil and environmental engineering, statistics, applied math