High resolution remote sensing of agricultural systems for improved water and food security
Internship Description
Workshop 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
Deliverables
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
Field Of Study
Computer science,
civil and environmental engineering, statistics, applied math