John S. Hogland

Missoula, MT 59801
United States
- Estimating fine grained forest characteristics using remote sensing techniques.
- Developing new spatial modeling procedures that quickly process large amounts of data.
- Integrating supply chain models with estimates of forest characteristics derived from high resolution imagery.
- Incorporating the tenets of data and decision science into natural resource planning and management.
- Management strategies to convert forested landscapes back to a fire resilient condition.
Using remote sensing to identify and describe Longleaf Ecosystems.
- Understanding the relationships between landscape patterns and forested ecosystems processes.
- Pyrolysis techniques and the utilization of woody biomass.
- Spatial and statistical modeling.
- Remote Sensing
- Sample design
- Machine learning
- Big Data
- Natural resource management
This research provides detailed estimates of forest characteristics and GIS tools that can be used to address a wide range of spatially explicit questions. For more information about my research check out Hogland's Spatial Solutions and the RMRS Raster Utility websites.
- University of Montana, Ph.D, Forestry & Conservation Sciences, 2019
- 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
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Research Forester,
USDA FS RMRS,
2021 -
Current
Research Forester for the Rocky Mountain Research Station.
- Biological Scientist, RMRS, 2011 - 2020
- GIS Developer/Analyst, Trust Lands Management Division of Department of Natural Resources and Conservation, 2005 - 2011
- Graduate Research Assistant, School of Forestry and Wildlife Sciences, Auburn University, 2002 - 2005
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Member,
Ecological Society of America,
2012 -
Current
member
-
Member,
Xi Sigma Pi Forestry Honor Society,
2000 -
Current
member
-
Member,
Association of Southern Biologists,
2004 -
2005
member
-
Chair,
Society of American Foresters (SAF),
2003 -
2004
Plan and implement chapter meetings and workshops.
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Co-Chair,
Society of American Foresters (SAF),
2002 -
2003
help to plan and implement chapter meetings and workshops.
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Award, 2011
Governor's Award
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Award, 2008
DNRC's Paragon of Performance
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Award, 2007
DNRC's Paragon of Performance
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Award, 2006
DNRC's Paragon of Performance
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Award, 2005
Top 10 Graduate Students Award at Auburn University
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Award, 2001
Outstanding Senior Award at Auburn University
-
Award, 2001
Outstanding Student Award at Auburn University
-
Award, 2000
Rising Senior Award at Auburn University
- Hogland, John S.; Anderson, Nathaniel M.; Jones, J .Greg. 2013. Function modeling: improved raster analysis through delayed reading and function raster datasets
- Hogland, John; Billor, Nedret; Anderson, Nathaniel. 2013. Comparison of standard maximum likelihood classification and polytomous logistic regression used in remote sensing
- Hogland, John S; Anderson, Nathaniel M.; Chung, Woodam; Wells, Lucas. 2014. Estimating forest characteristics using NAIP imagery and ArcObjects
- Hogland, John S.; Anderson, Nathaniel M.. 2014. Improved analyses using function datasets and statistical modeling
- Hogland, John; Anderson, Nathaniel; Chung, Woodam. 2018. New geospatial approaches for efficiently mapping forest biomass logistics at high resolution over large areas
- Hogland, John; Anderson, Nathaniel; St. Peter, Joseph; Drake, Jason; Medley, Paul. 2018. Mapping forest characteristics at fine resolution across large landscapes of the southeastern United States using NAIP imagery and FIA field plot data
- St. Peter, Joseph; Hogland, John; Anderson, Nathaniel; Drake, Jason; Medley, Paul. 2018. Fine resolution probabilistic land cover classification of landscapes in the southeastern United States
- Hogland, John; Anderson, Nathaniel. 2017. Function modeling improves the efficiency of spatial modeling using big data from remote sensing
- Hogland, John ; Dunn, Christopher J.; Johnston, James D.. 2021. 21st century planning techniques for creating fire-resilient forests in the American West
- Hogland, John ; Affleck, David L. R.. 2021. Improving estimates of natural resources using model-based estimators: Impacts of sample design, estimation technique, and strengths of association
- Hogland, John ; Affleck, David L. R.; Anderson, Nathaniel ; Seielstad, Carl ; Dobrowski, Solomon ; Graham, Jon ; Smith, Robert. 2020. Estimating forest characteristics for longleaf pine restoration using normalized remotely sensed imagery in Florida USA
- Palaiologou, Palaiologos ; Essen, Maureen ; Hogland, John ; Kalabokidis, Kostas. 2020. Locating forest management units using remote sensing and geostatistical tools in North-Central Washington, USA
- Ahl, Robert ; Hogland, John ; Brown, Steve. 2019. A comparison of standard modeling techniques using digital aerial imagery with national elevation datasets and airborne LiDAR to predict size and density forest metrics in the Sapphire Mountains MT, USA
- Hogland, John ; Affleck, David L. R.. 2019. Mitigating the impact of field and image registration errors through spatial aggregation
- Hogland, John ; Anderson, Nathaniel ; Affleck, David ; St. Peter, Joseph. 2019. Using forest inventory data with Landsat 8 imagery to map longleaf pine forest characteristics in Georgia, USA
- Thompson, Matthew P.; Wei, Yu ; Calkin, David E.; O'Connor, Christopher D.; Dunn, Christopher ; Anderson, Nathaniel M.; Hogland, John S.. 2019. Risk management and analytics in wildfire response
- 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 M.; Hogland, John S.. 2016. Spatial and temporal quantification of forest residue volumes and delivered costs
- Hogland, John S.; Anderson, Nathaniel M.. 2015. Estimating FIA plot characteristics using NAIP imagery, function modeling, and the RMRS Raster Utility coding library
- Hogland, John S.; Anderson, Nathaniel M.. 2015. Estimating FIA plot characteristics using NAIP imagery, function modeling, and the RMRS raster utility coding library
- Keefe, Robert; Anderson, Nathaniel; Hogland, John; Muhlenfeld, Ken. 2014. Woody biomass logistics [Chapter 14]
- Miller, Sue; Essen, Maureen; Anderson, Nate; Chung, Woody; Elliot, Bill; Page-Dumroese, Deb; Han, Han-Sup; Hogland, John; Keyes, Christopher R.. 2014. Science You Can Use (SYCU) - Burgeoning biomass: Creating efficient and sustainable forest biomass supply chains in the Rockies