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Hans-Erik Andersen, Ph.D. - Publications

Affiliations: 
2003 University of Washington, Seattle, Seattle, WA 
Area:
Forestry and Wildlife Agriculture, Environmental Sciences, Remote Sensing
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40 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Alonzo M, Dial RJ, Schulz BK, Andersen H, Lewis-Clark E, Cook BD, Morton DC. Mapping tall shrub biomass in Alaska at landscape scale using structure-from-motion photogrammetry and lidar Remote Sensing of Environment. 245: 111841. DOI: 10.1016/J.Rse.2020.111841  0.5
2019 Taylor-Rodriguez D, Finley AO, Datta A, Babcock C, Andersen HE, Cook BD, Morton DC, Banerjee S. Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping. Statistica Sinica. 29: 1155-1180. PMID 33311955 DOI: 10.5705/Ss.202018.0005  0.365
2019 Strunk J, Packalen P, Gould P, Gatziolis D, Maki C, Andersen H, McGaughey RJ. Large Area Forest Yield Estimation with Pushbroom Digital Aerial Photogrammetry Forests. 10: 397. DOI: 10.3390/F10050397  0.487
2019 Patterson PL, Healey SP, Ståhl G, Saarela S, Holm S, Andersen H, Dubayah RO, Duncanson L, Hancock S, Armston J, Kellner JR, Cohen WB, Yang Z. Statistical properties of hybrid estimators proposed for GEDI—NASA’s global ecosystem dynamics investigation Environmental Research Letters. 14: 065007. DOI: 10.1088/1748-9326/Ab18Df  0.315
2018 Cahoon SMP, Sullivan PF, Brownlee AH, Pattison RR, Andersen HE, Legner K, Hollingsworth TN. Contrasting drivers and trends of coniferous and deciduous tree growth in interior Alaska. Ecology. PMID 29569245 DOI: 10.1002/Ecy.2223  0.394
2018 Saarela S, Holm S, Healey SP, Andersen H, Petersson H, Prentius W, Patterson PL, Næsset E, Gregoire TG, Stahl G. Generalized hierarchical model-based estimation for aboveground biomass assessment using GEDI and Landsat data Remote Sensing. 10: 1832. DOI: 10.3390/Rs10111832  0.392
2018 Alonzo M, Andersen H, Morton D, Cook B. Quantifying Boreal Forest Structure and Composition Using UAV Structure from Motion Forests. 9: 119. DOI: 10.3390/F9030119  0.553
2018 Ene LT, Gobakken T, Andersen H, Næsset E, Cook BD, Morton DC, Babcock C, Nelson R. Large-area hybrid estimation of aboveground biomass in interior Alaska using airborne laser scanning data Remote Sensing of Environment. 204: 741-755. DOI: 10.1016/J.Rse.2017.09.027  0.478
2017 Strunk JL, Gould PJ, Packalen P, Poudel KP, Andersen H, Temesgen H. An Examination of Diameter Density Prediction with k-NN and Airborne Lidar Forests. 8: 444. DOI: 10.3390/F8110444  0.352
2017 Manuri S, Andersen H, Brack C, Doran B. Advanced Land Cover Mapping Of Tropical Peat Swamp Ecosystem Using Airborne Discrete Return Lidar Geoplanning: Journal of Geomatics and Planning. 4: 1-8. DOI: 10.14710/Geoplanning.4.1.1-8  0.513
2017 McGaughey RJ, Ahmed K, Andersen H, Reutebuch SE. Effect of occupation time on the horizontal accuracy of a mapping-grade GNSS receiver under dense forest canopy Photogrammetric Engineering and Remote Sensing. 83: 861-868. DOI: 10.14358/Pers.83.12.861  0.431
2017 Alonzo M, Morton DC, Cook BD, Andersen H, Babcock C, Pattison R. Patterns of canopy and surface layer consumption in a boreal forest fire from repeat airborne lidar Environmental Research Letters. 12: 65004. DOI: 10.1088/1748-9326/Aa6Ade  0.481
2017 Saarela S, Andersen H, Grafström A, Schnell S, Gobakken T, Næsset E, Nelson RF, McRoberts RE, Gregoire TG, Ståhl G. A new prediction-based variance estimator for two-stage model-assisted surveys of forest resources Remote Sensing of Environment. 192: 1-11. DOI: 10.1016/J.Rse.2017.02.001  0.417
2017 Nelson R, Margolis H, Montesano P, Sun G, Cook B, Corp L, Andersen H, deJong B, Pellat FP, Fickel T, Kauffman J, Prisley S. Lidar-based estimates of aboveground biomass in the continental US and Mexico using ground, airborne, and satellite observations Remote Sensing of Environment. 188: 127-140. DOI: 10.1016/J.Rse.2016.10.038  0.484
2017 Manuri S, Andersen H, McGaughey RJ, Brack C. Assessing the influence of return density on estimation of lidar-based aboveground biomass in tropical peat swamp forests of Kalimantan, Indonesia International Journal of Applied Earth Observation and Geoinformation. 56: 24-35. DOI: 10.1016/J.Jag.2016.11.002  0.505
2016 Gregoire TG, Næsset E, McRoberts RE, Ståhl G, Andersen HE, Gobakken T, Ene L, Nelson R. Statistical rigor in LiDAR-assisted estimation of aboveground forest biomass Remote Sensing of Environment. 173: 98-108. DOI: 10.1016/J.Rse.2015.11.012  0.512
2015 Magnussen S, Andersen HE, Mundhenk P. A second look at endogenous poststratification Forest Science. 61: 624-634. DOI: 10.5849/Forsci.14-183  0.367
2015 Margolis HA, Nelson RF, Montesano PM, Beaudoin A, Sun G, Andersen HE, Wulder MA. Combining satellite lidar, airborne lidar, and ground plots to estimate the amount and distribution of aboveground biomass in the boreal forest of North America Canadian Journal of Forest Research. 45: 838-855. DOI: 10.1139/Cjfr-2015-0006  0.485
2014 Strunk JL, Temesgen H, Andersen H, Packalen P. Prediction of Forest Attributes with Field Plots, Landsat, and a Sample of Lidar Strips Photogrammetric Engineering and Remote Sensing. 80: 143-150. DOI: 10.14358/Pers.80.2.143-150  0.434
2014 Strunk JL, Temesgen H, Andersen HE, Packalen P. Prediction of forest attributes with field plots, landsat, and a sample of lidar strips: A case study on the kenai Peninsula, Alaska Photogrammetric Engineering and Remote Sensing. 80: 143-150. DOI: 10.14358/Pers.80.2.000  0.443
2014 Atwood DK, Andersen H, Matthiss B, Holecz F. Impact of Topographic Correction on Estimation of Aboveground Boreal Biomass Using Multi-temporal, L-Band Backscatter Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7: 3262-3273. DOI: 10.1109/Jstars.2013.2289936  0.491
2014 Andersen H, Reutebuch SE, McGaughey RJ, d'Oliveira MVN, Keller M. Monitoring selective logging in western Amazonia with repeat lidar flights Remote Sensing of Environment. 151: 157-165. DOI: 10.1016/J.Rse.2013.08.049  0.482
2013 Bright BC, Hudak AT, McGaughey R, Andersen H, Negron J. Predicting live and dead tree basal area of bark beetle affected forests from discrete-return lidar Canadian Journal of Remote Sensing. 39. DOI: 10.5589/M13-027  0.487
2013 Neigh CS, Nelson RF, Ranson KJ, Margolis HA, Montesano PM, Sun G, Kharuk V, Næsset E, Wulder MA, Andersen H. Taking stock of circumboreal forest carbon with ground measurements, airborne and spaceborne LiDAR Remote Sensing of Environment. 137: 274-287. DOI: 10.1016/J.Rse.2013.06.019  0.421
2012 Strunk JL, Reutebuch SE, Andersen HE, Gould PJ, McGaughey RJ. Model-assisted forest yield estimation with light detection and ranging Western Journal of Applied Forestry. 27: 53-59. DOI: 10.5849/Wjaf.10-043  0.51
2012 Strunk J, Temesgen H, Andersen H, Flewelling JP, Madsen L. Effects of lidar pulse density and sample size on a model-assisted approach to estimate forest inventory variables Canadian Journal of Remote Sensing. 38: 644-654. DOI: 10.5589/M12-052  0.499
2012 d'Oliveira MVN, Reutebuch SE, McGaughey RJ, Andersen H. Estimating forest biomass and identifying low-intensity logging areas using airborne scanning lidar in Antimary State Forest, Acre State, Western Brazilian Amazon Remote Sensing of Environment. 124: 479-491. DOI: 10.1016/J.Rse.2012.05.014  0.486
2011 Andersen H, Strunk J, Temesgen H, Atwood D, Winterberger K. 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 Canadian Journal of Remote Sensing. 37: 596-611. DOI: 10.5589/M12-003  0.479
2011 Andersen H, Strunk J, Temesgen H. Using Airborne Light Detection and Ranging as a Sampling Tool for Estimating Forest Biomass Resources in the Upper Tanana Valley of Interior Alaska Western Journal of Applied Forestry. 26: 157-164. DOI: 10.1093/Wjaf/26.4.157  0.407
2009 Sullivan AA, McGaughey RJ, Andersen H, Schiess P. Object-oriented classification of forest structure from light detection and ranging data for stand mapping Western Journal of Applied Forestry. 24: 198-204. DOI: 10.1093/Wjaf/24.4.198  0.532
2009 Andersen H, Clarkin T, Winterberger K, Strunk J. An Accuracy Assessment of Positions Obtained Using Survey- and Recreational-Grade Global Positioning System Receivers across a Range of Forest Conditions within the Tanana Valley of Interior Alaska Western Journal of Applied Forestry. 24: 128-136. DOI: 10.1093/Wjaf/24.3.128  0.451
2009 Andersen H. Using airborne light detection and ranging (LIDAR) to characterize forest stand condition on the Kenai Peninsula of Alaska. Western Journal of Applied Forestry. 24: 95-102. DOI: 10.1093/Wjaf/24.2.95  0.429
2009 Kim S, McGaughey RJ, Andersen H, Schreuder G. Tree species differentiation using intensity data derived from leaf-on and leaf-off airborne laser scanner data Remote Sensing of Environment. 113: 1575-1586. DOI: 10.1016/J.Rse.2009.03.017  0.604
2008 Pang Y, Lefsky M, Andersen H, Miller ME, Sherrill K. Validation of the ICEsat vegetation product using crown-area-weighted mean height derived using crown delineation with discrete return lidar data Canadian Journal of Remote Sensing. 34: 471-484. DOI: 10.5589/M08-074  0.524
2008 Li Y, Andersen H, McGaughey R. A Comparison of Statistical Methods for Estimating Forest Biomass from Light Detection and Ranging Data Western Journal of Applied Forestry. 23: 223-231. DOI: 10.1093/Wjaf/23.4.223  0.479
2006 Andersen H, Reutebuch SE, McGaughey RJ. A rigorous assessment of tree height measurements obtained using airborne lidar and conventional field methods Canadian Journal of Remote Sensing. 32: 355-366. DOI: 10.5589/M06-030  0.488
2005 Andersen H, Reutebuch SE, McGaughey RJ. Accuracy of an IFSAR-derived digital terrain model under a conifer forest canopy Canadian Journal of Remote Sensing. 31: 283-288. DOI: 10.5589/M05-016  0.487
2005 Reutebuch SE, Andersen H, McGaughey RJ. Light detection and ranging (LIDAR): an emerging tool for multiple resource inventory. Journal of Forestry. 103: 286-292. DOI: 10.1093/Jof/103.6.286  0.494
2005 Andersen H, McGaughey RJ, Reutebuch SE. Estimating forest canopy fuel parameters using LIDAR data Remote Sensing of Environment. 94: 441-449. DOI: 10.1016/J.Rse.2004.10.013  0.519
2003 Reutebuch SE, McGaughey RJ, Andersen H, Carson WW. Accuracy of a high-resolution lidar terrain model under a conifer forest canopy Canadian Journal of Remote Sensing. 29: 527-535. DOI: 10.5589/M03-022  0.441
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