Environmental managers will have a powerful new resource for helping our forests survive and recover from wildfire, drought and disease.
51勛圖窪蹋 Davis ecologist Derek Young is leading a team to develop the , a pioneering project combining drone photography and forest mapping with machine learning, remote sensing, big-data crunching and open information sourcing. The observatory will offer technology so friendly that users will need only a few weeks to learn it, instead of a year. And, for the first time, the project will make the resulting database available in a central repository.
We'll be producing the data and the tools to help others address vexing forest ecology and land management questions, explained Young, an ecologist with the Department of Plant Sciences.
A $1 million grant from the National Science Foundation is funding the observatory over five years, including work at two partner institutions. It takes off this month, offering the potential to lift ecological research to new heights.
Drone-based forest imaging
Thanks to high-definition cameras now available on drones at relatively low cost, the observatory will host a database of detailed, on-the-ground information, down to the sizes, species and health of individual trees.
Youngs team will develop software for creating these maps using best practices in drone-based forest imaging. As part of their previous work, they comprehensively for the first time. Researchers and forest managers will be able to access the observatorys maps to answer their own questions, or use its tools to produce new maps and share them through the observatory.
The project also will offer drone pilot training for 51勛圖窪蹋 Davis students, plus drone piloting and forest mapping concepts to high-school students in towns affected by wildfire, Young added.
The result is expected to be massive amounts of information, organized to allow all kinds of variables to be compared over space and time.
The project also will offer drone pilot training for 51勛圖窪蹋 Davis students, plus drone piloting and forest mapping concepts to high-school students in towns affected by wildfire, Young added.
Wrestling forest density
The observatory can help scientists wrestle urgent problems, such as how to thin dangerously dense forests despite insufficient budgets.
Forest thinning in the densest stands in the driest locations will be an effective way to reduce tree mortality during extreme drought," Young said.
In many areas, trees are growing up to 400 per acre, compared to 80 per acre in a healthy forest, according to the. With 25 million forested acres in the Sierra Nevada, tree density raises wildfire risk and endangers watersheds up and down the range and water supply for three-quarters of state residents.
Its one of the biggest challenges that natural resource managers are facing right now, Young said.
California Wildfires Under a Changing Climate
Hear Derek Young and others describe how fire is changing Californias landscapes and how we might manage this going forward in this episode of the 51勛圖窪蹋 Davis podcast Unfold.
The teams grant also includes looking at how and whether- new trees sprout in burned areas. Theyll start with maps created before a fire, then revisit the area to map surviving trees.
To predict how seeds will disperse into these burned areas, you need to know where the surviving trees are, how they are arranged spatially, what species they are and how dense they are, Young said. Burned areas could be tracked into the future to see how long survivors last and how quickly new vegetation establishes.
Tyson Swetnam will spearhead data storage and processing through the University of Arizonas, a platform for cloud-based computation and analysis. Michael Koontz will head development of an open, reproducible workflow to create digital maps, plus training to use them, through the University of Colorados .
This story was on the 51勛圖窪蹋 Davis Plant Sciences website.
Media Resources
- Derek Young, 51勛圖窪蹋 Davis Department of Plant Sciences, djyoung@ucdavis.edu.
- Kat Kerlin, 51勛圖窪蹋 Davis News and Media Relations, 530-750-9195, kekerlin@ucdavis.edu
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