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John Hogland

In the Pacific Northwest

Biological Scientist

800 East Beckwith Avenue
Missoula, MT 59801
Contact John Hogland

Current Research

  • Estimating fine grained forest characteristics using remote sensing techniques (Uncompahgre Plateau).
  • Developing new spatial modeling procedures that quickly process large amounts of data (RMRS Raster Utility).
  • Integrating supply chain models with estimates of forest characteristics derived from high resolution imagery (Biomass).

Research Interests

  • Understanding the relationships between landscape patterns and forested ecosystems processes.
  • Pyrolysis techniques and the utilization of woody biomass.
  • Spatial and statistical modeling.
  • Remote Sensing

Past Research

Using remote sensing to identify and describe Longleaf Ecosystems.

Why This Research is Important

This research provides detailed estimates of forest characteristics and GIS tools that can be used to address a wide range of spatially explicit questions.



  • School of Forestry and Wildlife Sciences, Auburn University, M.S. Minor Statistics, Forestry, landscape ecology, remote sensing, spatial modeling, and statistices., 2005
  • School of Forestry and Wildlife Sciences, Auburn University, B.S., Forest Resources and Spatial Analysis, 2001
  • Professional Experience

    Biological Scientist, RMRS
    2011 to present

    GIS Developer/Analyst, Trust Lands Management Division of Department of Natural Resources and Conservation
    2005 to 2011

    Graduate Research Assistant, School of Forestry and Wildlife Sciences, Auburn University
    2002 to 2005

    Professional Organizations

    • Ecological Society of America, Member ( 2012 to present )
      member, member
    • Xi Sigma Pi Forestry Honor Society, Member ( 2000 to present )
      honorary, member
    • Association of Southern Biologists, Member ( 2004 to 2005 )
      member, member
    • Society of American Foresters (SAF), Chair ( 2003 to 2004 )
      chapter membership, Plan and implement chapter meetings and workshops.
    • Society of American Foresters (SAF), Co-Chair ( 2002 to 2003 )
      chapter membership, help to plan and implement chapter meetings and workshops.


    Award, 2011
    Governor's Award
    Award, 2008
    DNRC's Paragon of Performance
    Award, 2007
    DNRC's Paragon of Performance
    Award, 2006
    DNRC's Paragon of Performance
    Award, 2005
    Top 10 Graduate Students Award at Auburn University
    Award, 2001
    Outstanding Senior Award at Auburn University
    Award, 2001
    Outstanding Student Award at Auburn University
    Award, 2000
    Rising Senior Award at Auburn University

    Featured Publications


    Hogland, John; Anderson, Nathaniel (Nate); Affleck, David; St. Peter, Joseph, 2019. Using forest inventory data with Landsat 8 imagery to map longleaf pine forest characteristics in Georgia, USA
    St. Peter, Joseph; Hogland, John; Hebblewhite, Mark; Hurley, Mark A.; Hupp, Nicole; Proffitt, Kelly, 2018. Linking phenological indices from digital cameras in Idaho and Montana to MODIS NDVI
    Wells, Lucas A.; Chung, Woodam; Anderson, Nathaniel (Nate); Hogland, John, 2016. Spatial and temporal quantification of forest residue volumes and delivered costs
    Miller, Sue; Essen, Maureen; Anderson, Nathaniel (Nate); Chung, Woody; Elliot, William J.; Page-Dumroese, Deborah S.; Han, Han-Sup; Hogland, John; Keyes, Christopher R., 2014. Science You Can Use Bulletin: Burgeoning biomass: Creating efficient and sustainable forest biomass supply chains in the Rockies
    Keefe, Robert; Anderson, Nathaniel (Nate); Hogland, John; Muhlenfeld, Ken, 2014. Woody biomass logistics [Chapter 14]
    Longleaf pine forests are one of the most critically endangered ecosystems in the world. RMRS scientists and collaborators have developed new tools that can quantify the amount and condition of longleaf pine forest at fine spatial resolution over large areas. Researchers are improving the technologies and software and strengthening the extension and outreach aspects of this work. The next phase of the project will run through 2020.
    Forest biomass is a promising feedstock (raw material to supply or fuel a machine or industrial process) for the production of bioenergy, biofuels, and bioproducts because it is renewable and widely available as a byproduct of forest management. However, there are many obstacles have that have prevented more widespread use of forest biomass. This project was set in place to quantify and evaluate these obstacles so that land managers can overcome them.
    The RMRS Raster Utility is an object oriented coding library that facilitates a wide range of spatial and statistical analyses using novel statistical methods in a newly developed Function Modeling framework. This work includes: New tools for spatial and statistical analysis Readily available, easy to use, free, GIS software add-in Website describing software functionality and applications Code repository for others to integrate into their work Tu​torials and sample analyses