An accuracy assessment of positions obtained using survey-and recreational-grade global positioning system receivers across a range of forest conditions within the Tanana … HE Andersen, T Clarkin, K Winterberger, J Strunk Western Journal of Applied Forestry 24 (3), 128-136, 2009 | 96 | 2009 |
Using multilevel remote sensing and ground data to estimate forest biomass resources in remote regions: A case study in the boreal forests of interior Alaska HE Andersen, J Strunk, H Temesgen, D Atwood, K Winterberger Canadian Journal of Remote Sensing 37 (6), 596-611, 2011 | 88 | 2011 |
Using airborne light detection and ranging as a sampling tool for estimating forest biomass resources in the Upper Tanana Valley of Interior Alaska HE Andersen, J Strunk, H Temesgen Western Journal of Applied Forestry 26 (4), 157-164, 2011 | 84 | 2011 |
Effects of lidar pulse density and sample size on a model-assisted approach to estimate forest inventory variables J Strunk, H Temesgen, HE Andersen, JP Flewelling, L Madsen Canadian Journal of Remote Sensing 38 (5), 644-654, 2012 | 70 | 2012 |
Predicting the spatial pattern of trees by airborne laser scanning P Packalen, J Vauhkonen, E Kallio, J Peuhkurinen, J Pitkänen, I Pippuri, ... International journal of remote sensing 34 (14), 5154-5165, 2013 | 54 | 2013 |
Comparison of linear regression, k-nearest neighbour and random forest methods in airborne laser-scanning-based prediction of growing stock DN Cosenza, L Korhonen, M Maltamo, P Packalen, JL Strunk, E Næsset, ... Forestry: An International Journal of Forest Research 94 (2), 311-323, 2021 | 47 | 2021 |
Estimating forest biomass on the western lowlands of the Kenai Peninsula of Alaska using airborne lidar and field plot data in a model-assisted sampling design HE Andersen, T Barrett, K Winterberger, J Strunk, H Temesgen Proceedings of the IUFRO Division 4 Conference:“Extending Forest Inventory …, 2009 | 40 | 2009 |
Edge-tree correction for predicting forest inventory attributes using area-based approach with airborne laser scanning P Packalen, JL Strunk, JA Pitkänen, H Temesgen, M Maltamo IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 37 | 2015 |
Resolution dependence in an area-based approach to forest inventory with airborne laser scanning P Packalen, J Strunk, T Packalen, M Maltamo, L Mehtätalo Remote sensing of environment 224, 192-201, 2019 | 36 | 2019 |
Comparing modeling methods for predicting forest attributes using LiDAR metrics and ground measurements J Shin, H Temesgen, JL Strunk, T Hilker Canadian Journal of Remote Sensing 42 (6), 739-765, 2016 | 31 | 2016 |
Model-assisted forest yield estimation with light detection and ranging JL Strunk, SE Reutebuch, HE Andersen, PJ Gould, RJ McGaughey Western Journal of Applied Forestry 27 (2), 53-59, 2012 | 29 | 2012 |
Prediction of forest attributes with field plots, Landsat, and a sample of lidar strips JL Strunk, H Temesgen, HE Andersen, P Packalen Photogrammetric Engineering & Remote Sensing 80 (2), 143-150, 2014 | 28 | 2014 |
Large area forest yield estimation with pushbroom digital aerial photogrammetry J Strunk, P Packalen, P Gould, D Gatziolis, C Maki, HE Andersen, ... Forests 10 (5), 397, 2019 | 23 | 2019 |
An examination of diameter density prediction with k-NN and airborne lidar JL Strunk, PJ Gould, P Packalen, KP Poudel, HE Andersen, H Temesgen Forests 8 (11), 444, 2017 | 16 | 2017 |
Evaluation of pushbroom DAP relative to frame camera DAP and lidar for forest modeling JL Strunk, PJ Gould, P Packalen, D Gatziolis, D Greblowska, C Maki, ... Remote Sensing of Environment 237, 111535, 2020 | 14 | 2020 |
An urban forest-inventory-and-analysis investigation in Oregon and Washington JL Strunk, JR Mills, P Ries, H Temesgen, L Jeroue Urban Forestry & Urban Greening 18, 100-109, 2016 | 14 | 2016 |
Effects of numbers of observations and predictors for various model types on the performance of forest inventory with airborne laser scanning DN Cosenza, P Packalen, M Maltamo, P Varvia, J Räty, P Soares, ... Canadian journal of forest research 52 (3), 385-395, 2022 | 13 | 2022 |
Prediction error aggregation behaviour for remote sensing augmented forest inventory approaches E Kotivuori, M Maltamo, L Korhonen, JL Strunk, P Packalen Forestry: An International Journal of Forest Research 94 (4), 576-587, 2021 | 12 | 2021 |
Comparing statistical techniques to classify the structure of mountain forest stands using CHM-derived metrics in Trento province (Italy) C Torresan, J Strunk, HSJ Zald, Y Zhiqiang, WB Cohen European Journal of Remote Sensing 47 (1), 75-94, 2014 | 12 | 2014 |
Evaluating different models to predict biomass increment from multi-temporal lidar sampling and remeasured field inventory data in south-central Alaska H Temesgen, J Strunk, HE Andersen, J Flewelling Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS …, 2015 | 10 | 2015 |