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Featured researches published by Peter R. Robichaud.


International Symposium on Erosion and Landscape Evolution (ISELE), 18-21 September 2011, Anchorage, Alaska | 2011

Measuring Erosion Rates at Plot Scales Using Photogrammetry

Joseph W. Wagenbrenner; Peter R. Robichaud; Randy B. Foltz

Measuring erosion in natural environments can be complex, time consuming, and labor intensive, but several computer software programs have recently become commercially available that may allow accurate calculation of eroded volumes from digital photographs. These programs may greatly simplify the collection and analysis of erosion data under certain conditions. The objective of this project was to determine the accuracy of erosion estimates made with one photogrammetry software package (Adam Technology, Perth, West Australia) relative to estimates derived using more traditional methods. We compared the photogrammetric and traditional methods in two laboratory experiments and one field setting. The photogrammetric method consisted of obtaining a series of stereo digital photographs using a high-resolution camera and creating digital terrain models using the software package. The volume change between the before and after digital terrain models was also calculated using the software. The first test was a simple trench (approximately 10 cm wide by 4 cm deep by 24 cm long) created in a laboratory setting. The digital terrain model for this event was derived from two overlapping photos. In this case the volume calculated using the photogrammetric method was larger than the volume calculated using a rill meter (487 cm3). The second experiment was a runoff event in a 0.4 m wide by 11.4 m long laboratory flume. The digital terrain models for this event were developed from two sets of 29 overlapping photos. The volume calculated from the photogrammetric method was compared to the volume change between the before and after surface elevations measured using a scanning laser surface profiler (0.278 m3). The third test was a simulated runoff experiment conducted on a 9 m long plot in a burned area where two sets of 21 photos were used to create the photogrammetric models of the rills created during the experiment. The volume calculated from the digital terrain models was compared to an estimate calculated from mass of the eroded sediment collected in runoff samples and the soil bulk density (0.0412 m3). Obtaining each photo series required some pre-planning and the images were more easily processed in the software when the surfaces were lit with mid-day sunlight and few shadows. The photogrammetric method may allow researchers to rapidly and cost-effectively obtain relatively precise digital elevation models in field or laboratory settings, and to capture small changes in surface elevation.


Watershed Management to Meet Water Quality Standards and TMDLS (Total Maximum Daily Load) Proceedings of the 10-14 March 2007, San Antonio, Texas | 2007

Erosion rates from forests and rangelands following fuel management

William J. Elliot; Peter R. Robichaud; Ina Sue Miller

In both forest and rangelands, fuel reduction operations are now common practices. Mechanical thinning followed by prescribed fire is common in forests, while fire is frequently applied to rangelands. Studies at different scales (50 sq m to 389 ha) measure the erosion from fuel management. This presentation compares runoff and erosion from these studies. Plot size has the greatest influence on runoff, with larger watersheds generating more runoff. Runoff ranged from zero on a number of 4-ha forested watersheds to 376 mm on a 386 ha forested watershed. Erosion rates were most influenced by surface cover. Observed erosion rates on rangelands were about 0.04 Mg ha-1 on undisturbed plots and 0.06 Mg ha-1 on burned plots. On forests, measured erosion rates were zero to 0.03 Mg ha-1 y-1, increased up to 0.1 Mg ha-1 y-1 for prescribed fire, and up to 6.7 Mg ha-1 y-1 following wildfire.


Archive | 2017

Learn from the burn: The High Park Fire 5 years later

Sue Miller; Charles Rhodes; Peter R. Robichaud; Sandra E. Ryan; Jen Kovecses; Carl Chambers; Jared Heath; Stephanie K. Kampf; Codie Wilson; Dan Brogan; Brad Piehl; Mary Ellen Miller; John Giordanego; Erin Berryman; Monique Rocca


Archive | 2007

JFSP Final Report: Postfire Erosion and the Effectiveness of Emergency Rehabilitation Treatments over Time

Lee H. MacDonald; Peter R. Robichaud; Peter Robichaud; Watershed Stewardship


Archive | 2017

Rapid response tools and datasets for post-fire modeling in Boreal and Arctic Environments

Mary Ellen Miller; Michael G. Billmire; Laura L. Bourgeau-Chavez; Willaim J Elliot; Peter R. Robichaud; Lee H. MacDonald


Archive | 2017

Socioeconomic impact analysis of linking remote sensing and process-based hydrological models to improve post-fire remediation efforts

Mary Ellen Miller; Michael Battaglia; Michael G. Billmire; William S. Breffle; William J. Elliot; Peter R. Robichaud; R McClusky


Archive | 2017

Linking remote sensing and process-based hydrological models to increase understanding of wildfire effects on watersheds and improve post-fire remediation efforts.

Mary Ellen Miller; Michael G. Billmire; William J. Elliot; Peter R. Robichaud


Archive | 2016

Rapid response tools and datasets for post-fire hydrological modeling applied to the High Park Fire

M Dobre; Mary Ellen Miller; Lee H. MacDonald; Michael G. Billmire; Stephanie K. Kampf; Peter R. Robichaud; Sarah Schmeer; E Serocki


Science You Can Use Bulletin, Issue 14. Fort Collins, CO: Rocky Mountain Research Station. 10 p. | 2014

Science You Can Use Bulletin: From watersheds to the web: Online tools for modeling forest soil erosion

Sue Miller; Bill Elliot; Peter R. Robichaud; Randy B. Foltz; Dennis C. Flanagan; Erin S. Brooks


Archive | 2013

Effectiveness of post-fire Burned Area Emergency Response (BAER) road treatments: Results from three wildfires

Randy B. Foltz; Peter R. Robichaud

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Mary Ellen Miller

Michigan Technological University

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William J. Elliot

United States Department of Agriculture

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Joseph W. Wagenbrenner

United States Department of Agriculture

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Michael G. Billmire

Michigan Technological University

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Randy B. Foltz

United States Department of Agriculture

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Louise E. Ashmun

United States Department of Agriculture

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Robert E. Brown

United States Department of Agriculture

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Sarah A. Lewis

United States Department of Agriculture

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