Out of the Woods: Delineating Disturbances in the Southern Rockies

Category: Land Cover Change & Disturbances
Project Team: Rocky Mountain Agriculture
Team Location: U.S. Geological Service at Colorado State University – Fort Collins, Colorado

Imagery from Landsat 4, 5, and 8 were analyzed with LandTrendr software to create a map of disturbance events and assist in future management decisions. Image Credit: Rocky Mountains Agriculture Team

Imagery from Landsat 4, 5, and 8 were analyzed with LandTrendr software to create a map of disturbance events and assist in future management decisions. Image Credit: Rocky Mountains Agriculture Team

Authors:
Peder Engelstad
Christopher Beddow
Stephanie Krail
Amandeep Vashisht

Mentors/Advisors:
Dr. Paul Evangelista (Colorado State University, Natural Resources Ecology Lab)
Tony Vorster (Bioenergy Alliance Network of the Rockies Feedstock Supply Team)

Past/Other Contributors:
Brian Woodward (Center Lead)

Abstract:

In recent decades, the Rocky Mountains of northern Colorado and southern Wyoming have experienced extremely high levels of forest disturbance. Methodologies for mapping and labeling disturbance and classifying historical harvest and thinning events on the landscape level have not been readily available in the past. However, recent literature has paved the way for refined approaches, such as change detection software and predictive classification models. This project provided a more complete dataset for the National Park Service Rocky Mountain National Park (RMNP), the Colorado Forest Restoration Institute (CFRI), and the Bioenergy Alliance Network of the Rockies (BANR) Feedstock Supply Team. Landsat 4 and 5 Thematic Mapper (TM) and Landsat 8 Operational Land Imager (OLI) imagery were integrated into the LandTrendr algorithm to detect magnitude, duration, and extent of past forest disturbances. A suite of classification algorithms, including the Boosted Regression Trees (BRT) and the Random Forests (RF) classification models, were used to conduct analyses at the landscape level across a temporal scale of 30 years. A labeled disturbance history, including harvest and thinning events, were provided to project partners, which filled gaps in their past records can lead to enhanced decision-making in the future.

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4 Comments

Daryl Ann Winstead (Mekong River Basin Agriculture) 18-08-2016, 17:04

It was great to learn more about the project after the highlight talk at the AESAS! Great work! What were some of the programs that the project used? Thanks in advance for your response!

Reply
Amber Jones 18-08-2016, 10:08

This project is straightforward, cutting edge and clearly bridges a gap between data and user groups. Bravo!

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Alec Courtright 17-08-2016, 10:37

Great work and a very well done video! It looks like your partners are getting a lot out of your results. What would you add if this project were to continue?

Reply
Brian Woodward 16-08-2016, 02:37

Always happy to see a great partner interview. Great job, Rocky Mtn. Ag!

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