John Hogland

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Raster Tools: An Open Source Toolbox for Raster Processing.
J. Open Source Softw.
Fredrick Bunt, Jesse Johnson, John Hogland
2021 J jnl
Improving Estimates of Natural Resources Using Model-Based Estimators: Impacts of Sample Design, Estimation Technique, and Strengths of Association.
Remote. Sens.
John Hogland, David L. R. Affleck
2020 J jnl
Locating Forest Management Units Using Remote Sensing and Geostatistical Tools in North-Central Washington, USA.
Sensors
Palaiologos Palaiologou, Maureen Essen, John Hogland, Kostas Kalabokidis
2019 J jnl
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.
ISPRS Int. J. Geo Inf.
Robert Ahl, John Hogland, Steve Brown
2019 J jnl
Mitigating the Impact of Field and Image Registration Errors through Spatial Aggregation.
Remote. Sens.
John Hogland, David L. R. Affleck
2019 J jnl
Using Forest Inventory Data with Landsat 8 Imagery to Map Longleaf Pine Forest Characteristics in Georgia, USA.
Remote. Sens.
John Hogland, Nathaniel Anderson, David L. R. Affleck, Joseph St. Peter
2018 J jnl
Fine Resolution Probabilistic Land Cover Classification of Landscapes in the Southeastern United States.
ISPRS Int. J. Geo Inf.
Joseph St. Peter, John Hogland, Nathaniel Anderson, Jason B. Drake, Paul Medley
2018 J jnl
Linking Phenological Indices from Digital Cameras in Idaho and Montana to MODIS NDVI.
Remote. Sens.
Joseph St. Peter, John Hogland, Mark Hebblewhite, Mark A. Hurley, Nicole Hupp, Kelly Proffitt
2018 J jnl
Mapping Forest Characteristics at Fine Resolution across Large Landscapes of the Southeastern United States Using NAIP Imagery and FIA Field Plot Data.
ISPRS Int. J. Geo Inf.
John Hogland, Nathaniel Anderson, Joseph St. Peter, Jason B. Drake, Paul Medley
2018 J jnl
New Geospatial Approaches for Efficiently Mapping Forest Biomass Logistics at High Resolution over Large Areas.
ISPRS Int. J. Geo Inf.
John Hogland, Nathaniel Anderson, Woodam Chung
2017 J jnl
Function Modeling Improves the Efficiency of Spatial Modeling Using Big Data from Remote Sensing.
Big Data Cogn. Comput.
John Hogland, Nathaniel Anderson