Visualizing Land Cover and Land Use Change with NASA Satellite Imagery
Start Date:
Feb. 24, 2026
Description:
Land cover and land use change (LCLUC) describes the many ways our world changes around us. Every new building, each vacant lot, and the expansion and retreat of forests or wetlands are all examples of LCLUC. These changes may be slow or sudden, but understanding the ways in which our landscape is changing gives us the opportunity to better anticipate and avoid problems that may arise.
This training, led by NASA's Applied Remote Sensing Training program (ARSET), covers some of the ways that we can use NASA data to determine what is happening on the ground and how that changes over time. Participants will see examples of supervised and unsupervised classification models implemented in the R statistical coding language, and improve their understanding of how these models can be used to produce maps and metrics of LCLUC.
Targeted Audience:
Professionals interested in coding to quantify land cover change as it relates to phenomena such as forest composition change, deforestation, urban expansion, habitat loss, and hydro/cryosphere changes.
Other scientists or analysts interested in leveraging automated tools for decision support around land use management, natural resource management, or other issues that have an impact on how our world is structured across space and time.
Host:
NASA Applied Remote Sensing Training Program (ARSET)