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2020 – today
- 2021
[j10]John Hogland
, David L. R. Affleck:
Improving Estimates of Natural Resources Using Model-Based Estimators: Impacts of Sample Design, Estimation Technique, and Strengths of Association. Remote. Sens. 13(19): 3893 (2021)- 2020
- [j9]Palaiologos Palaiologou, Maureen Essen, John Hogland, Kostas Kalabokidis:
Locating Forest Management Units Using Remote Sensing and Geostatistical Tools in North-Central Washington, USA. Sensors 20(9): 2454 (2020)
2010 – 2019
- 2019
- [j8]Robert Ahl, John Hogland, Steve Brown:
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. 8(1): 24 (2019) - [j7]John Hogland, David L. R. Affleck:
Mitigating the Impact of Field and Image Registration Errors through Spatial Aggregation. Remote. Sens. 11(3): 222 (2019) - [j6]John Hogland, Nathaniel Anderson, David L. R. Affleck, Joseph St. Peter:
Using Forest Inventory Data with Landsat 8 Imagery to Map Longleaf Pine Forest Characteristics in Georgia, USA. Remote. Sens. 11(15): 1803 (2019) - 2018
- [j5]Joseph St. Peter, John Hogland, Nathaniel Anderson, Jason B. Drake, Paul Medley:
Fine Resolution Probabilistic Land Cover Classification of Landscapes in the Southeastern United States. ISPRS Int. J. Geo Inf. 7(3): 107 (2018) - [j4]John Hogland, Nathaniel Anderson, Joseph St. Peter, Jason B. Drake, Paul Medley:
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. 7(4): 140 (2018) - [j3]John Hogland, Nathaniel Anderson, Woodam Chung:
New Geospatial Approaches for Efficiently Mapping Forest Biomass Logistics at High Resolution over Large Areas. ISPRS Int. J. Geo Inf. 7(4): 156 (2018) - [j2]Joseph St. Peter, John Hogland, Mark Hebblewhite, Mark A. Hurley, Nicole Hupp, Kelly Proffitt:
Linking Phenological Indices from Digital Cameras in Idaho and Montana to MODIS NDVI. Remote. Sens. 10(10): 1612 (2018) - 2017
- [j1]John Hogland, Nathaniel Anderson:
Function Modeling Improves the Efficiency of Spatial Modeling Using Big Data from Remote Sensing. Big Data Cogn. Comput. 1(1): 3 (2017)
Coauthor Index
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