High-Resolution Three-Dimensional Remote Sensing for Forest Measurement. - Hans-Erik Andersen (3D Imaging, Analysis and Applications, 2012)

Impact of Topographic Correction on Estimation of Aboveground Boreal Biomass Using Multi-temporal, L-Band Backscatter. - Donald K. Atwood; Hans-Erik Andersen; Benjamin Matthiss; Francesco Holecz (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Evaluating different models to predict biomass increment from multi-temporal lidar sampling and remeasured field inventory data in south-central Alaska. - Hailemariam Temesgen; Jacob L. Strunk; Hans-Erik Andersen; James Flewelling (Math. Comput. For. Nat. Resour. Sci., 2015)

Assessing the influence of return density on estimation of lidar-based aboveground biomass in tropical peat swamp forests of Kalimantan, Indonesia. - Solichin Manuri; Hans-Erik Andersen; Robert J. McGaughey; Cris Brack (Int. J. Appl. Earth Obs. Geoinformation, 2017)

Evaluating Site-Specific and Generic Spatial Models of Aboveground Forest Biomass Based on Landsat Time-Series and LiDAR Strip Samples in the Eastern USA. - Ram K. Deo; Matthew B. Russell; Grant M. Domke; Hans-Erik Andersen; Warren B. Cohen; Christopher W. Woodall (Remote. Sens., 2017)

Generalized Hierarchical Model-Based Estimation for Aboveground Biomass Assessment Using GEDI and Landsat Data. - Svetlana Saarela; Sören Holm; Sean P. Healey; Hans-Erik Andersen; Hans Petersson; Wilmer Prentius; Paul L. Patterson; Erik Næsset; Timothy G. Gregoire; Göran Ståhl (Remote. Sens., 2018)

Estimating Net Primary Productivity (NPP) and Debris-Fall in Forests Using Lidar Time Series. - Roman Dial; Pierre Chaussé; Mallory Allgeier; Tom Scott Smeltz; Trevor Golden; Thomas Day; Russell Wong; Hans-Erik Andersen (Remote. Sens., 2021)

Classifying Forest Type in the National Forest Inventory Context with Airborne Hyperspectral and Lidar Data. - Caileigh Shoot; Hans-Erik Andersen; L. Monika Moskal; Chad Babcock; Bruce D. Cook; Douglas C. Morton (Remote. Sens., 2021)

Mitigation of Spatial Effects on an Area-Based Lidar Forest Inventory (2024). - Jacob L. Strunk; Diogo Nepomuceno Cosenza; Francisco Mauro; Hans-Erik Andersen; Sytze de Bruin; Timothy Bryant; Petteri Packalen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)