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Wednesday, April 18 • 10:20am - 10:50am
New Geospatial Approaches for Efficiently Mapping Forest Biomass Logistics at High Resolution Over Large Areas

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Adequate biomass feedstock supply is an important factor in evaluating the financial feasibility of alternative site locations for bioenergy facilities and for maintaining profitability once a facility is built. We used newly developed spatial analysis and logistics software to model the variables influencing feedstock supply and estimate and map two components of the supply chain for a bioenergy facility: 1) total biomass stocks available within an economically efficient transportation distance, and 2) the cost of logistics to move required stocks from the forest to the facility. Biomass stocks and flows both have important spatiotemporal dynamics that affect procurement costs and project viability. Though seemingly straight forward, these two components can be difficult to quantify and map accurately in a useful, spatially explicit manner. For a 20 million acre (8 million ha) study area, we use raster-based methods and tools to quantify and visualize these supply metrics at 32.8ft2 (10m2) spatial resolution. The methodology and software leverage a novel raster-based least cost path modeling algorithm that quantifies off road and on road transportation, and other logistics costs. Results of the case study highlight the efficacy, flexibility, fine resolution, and spatial complexity of model outputs developed for facility siting and procurement planning.

Speakers
JH

John Hogland

John Hogland is a biological scientist working for the Rocky Mountain Research Station. His research interests revolve around quantitative methods within geographic information systems (GIS) and understanding the relationships between landscape patterns and forested ecosystems processes... Read More →


Wednesday April 18, 2018 10:20am - 10:50am
Lewis Room