OSU eMapR Lab

What's New

For a week this past summer, our lab explored Eastern and Central Oregon to better understand land dynamics, using Maggie the lab drone. We met up with Kyle on the Zumwalt Prairie to get a first-hand look of prairie ecosystems. Then we headed westward through the Malheur and Ochoco National forests in search of forest affected by insect and disease as outlined by Bugnet, a lab developed geo-spatial model. Maggie proved to be a valuable resource in acquiring imagery and providing data on the fly.

The Emapr Lab is helping forest rangers in one of Cambodia’s largest remaining forests get deforestation alerts based on NASA satellite data. Learn more by clicking here!

NASA is a powerhouse of scientific research and development, and now through NASA’s Citizen Science Projects, everyday individuals who are interested in science can help out. Be involved in data acquisition, validation and monitoring, in many of the NASA Citizen Science Projects. Want to learn more about it? Click here!

Here is a new video narrated by our own Peder Nelson; check it out!

Oregon State University
Environmental Monitoring, Analysis
and Process Recognition Lab

Humans depend on landscapes to provide sustainable services, yet most landscapes are under increasing stress as they respond to both natural and anthropogenic processes of change. Using satellite-based remote sensing as a primary tool, our goal is to develop new conceptual and analytical approaches to directly observe landscape change processes and relate those changes to driving forces.

Geospatial Time Travel

We send algorithms and models through the space and time of historical earth observation data to identify where, when, and how changes have occurred on the landscape. Our trip through time gives us hindsight to build more stable historical data sets from which we map land cover, biomass, and other land attributes for the last 40 years.


The data we produce helps identify trends and patterns of landscape change through time. This information is used by land managing agencies to help understand the effects of their policies and practices, and provides impactful, hindsight-enhanced inputs to geospatial models of habitat, biomass, and other surface features.