Posted in | News | Imaging

MODIS Satellite to be Used to Monitor Forest Health

A national early warning system designed to assist land managers in rapidly detecting threats to forest health is featured in the cover article of the October 2009 issue of Photogrammetric Engineering and Remote Sensing (PE&RS), the journal of the American Society for Photogrammetry and Remote Sensing (ASPRS).

The article, entitled "Toward a National Early Warning System for Forest Disturbances Using Remotely Sensed Canopy Phenology," describes the vision and progress of the system in development by partners from the U.S. Forest Service Eastern Forest Environmental Threat Assessment Center (EFETAC), Western Wildland Environmental Threat Assessment Center, and NASA Stennis Space Center.

The initial stages of the early warning system include use of satellite imagery in combination with aerial and on-the-ground observations to monitor forest health. The next stage, and a key component of the system, is the incorporation of data on land surface phenology—the expected seasonal vegetation changes such as spring leaf out and fall leaf color change and drop—to create weekly maps of U.S. vegetation (e.g., forest) change.

"Land surface phenologies can be used to characterize normal, 'expected' conditions and thus can help a warning system determine where and when vegetation has changed," says William Hargrove, EFETAC research ecologist and lead author of the PE&RS article. "The goal of this system is to allow analysis of vegetation change on a weekly basis at a national scale to provide near real-time information on forest conditions as they are impacted by insects, diseases, wildfires, or extreme weather events."

Researchers are employing the MODIS (Moderate Resolution Imaging Spectroradiometer) satellite to generate the land surface phenology data that underlie the weekly landcover maps. "Work thus far has been promising," says Joe Spruce, a senior scientist working at NASA Stennis Space Center. "We can clearly detect regional patterns of forest disturbance from the MODIS data." Soon, land managers and other interested users will be able to access these disturbance detection products online. "We think that timely regional forest change detection products in a format that is easily accessible will help provide new, previously unavailable early warnings of prevalent forest threats. This application will enable new ways to monitor vital signs of forests and to respond where threats occur," says Spruce.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.