Comparison of Methods for Estimation of Stem Volume, Stem Number and Basal Area from Airborne Laser Scanning Data in a Hemi-Boreal Forest. - Eva Lindberg; Markus Hollaus (Remote. Sens., 2012)

Estimation of Tree Lists from Airborne Laser Scanning Using Tree Model Clustering and k-MSN Imputation. - Eva Lindberg; Johan Holmgren; Kenneth Olofsson; Jörgen Wallerman; Håkan Olsson (Remote. Sens., 2013)

Delineation of Tree Crowns and Tree Species Classification From Full-Waveform Airborne Laser Scanning Data Using 3-D Ellipsoidal Clustering. - Eva Lindberg; Lothar Eysn; Markus Hollaus; Johan Holmgren; Norbert Pfeifer (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Can Airborne Laser Scanning (ALS) and Forest Estimates Derived from Satellite Images Be Used to Predict Abundance and Species Richness of Birds and Beetles in Boreal Forest? - Eva Lindberg; Jean-Michel Roberge; Therese Johansson; Joakim Hjältén (Remote. Sens., 2015)

International Benchmarking of the Individual Tree Detection Methods for Modeling 3-D Canopy Structure for Silviculture and Forest Ecology Using Airborne Laser Scanning. - Yunsheng Wang; Juha Hyyppä; Xinlian Liang; Harri Kaartinen; Xiaowei Yu; Eva Lindberg; Johan Holmgren; Yuchu Qin; Clément Mallet; Antonio Ferraz; Hossein Torabzadeh; Felix Morsdorf; et al. (IEEE Trans. Geosci. Remote. Sens., 2016)

Exploring Multispectral ALS Data for Tree Species Classification. - Arvid Axelsson; Eva Lindberg; Håkan Olsson (Remote. Sens., 2018)

Assessing Error Correlations in Remote Sensing-Based Estimates of Forest Attributes for Improved Composite Estimation. - Sarah Ehlers; Svetlana Saarela; Nils Lindgren; Eva Lindberg; Mattias Nyström; Henrik J. Persson; Håkan Olsson; Göran Ståhl (Remote. Sens., 2018)

Tree Species Classification with Multi-Temporal Sentinel-2 Data. - Magnus Persson 003; Eva Lindberg; Heather Reese (Remote. Sens., 2018)

Forest Variable Estimation Using a High Altitude Single Photon Lidar System. - André Wästlund; Johan Holmgren; Eva Lindberg; Håkan Olsson (Remote. Sens., 2018)

Normalized Projected Red & SWIR (NPRS): A New Vegetation Index for Forest Health Estimation and Its Application on Spruce Bark Beetle Attack Detection. - Langning Huo; Eva Lindberg; Henrik Persson (IGARSS, 2020)

Tree species classification using Sentinel-2 imagery and Bayesian inference. - Arvid Axelsson; Eva Lindberg; Heather Reese; Håkan Olsson (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Classification of tree species classes in a hemi-boreal forest from multispectral airborne laser scanning data using a mini raster cell method. - Eva Lindberg; Johan Holmgren; Håkan Olsson (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Comparing Spectral Differences Between Healthy and Early Infested Spruce Forests Caused by Bark Beetle Attacks using Satellite Images. - Langning Huo; Eva Lindberg; Johan E. S. Fransson; Henrik J. Persson (IGARSS, 2022)

Green Attack or Overfitting? Comparing Machine-Learning- and Vegetation-Index-Based Methods to Early Detect European Spruce Bark Beetle Attacks Using Multispectral Drone Images. - Langning Huo; Henrik J. Persson; Jonas Bohlin; Eva Lindberg (IGARSS, 2023)

Comparing TanDEM-X InSAR Forest Stand Volume Prediction Models Trained Using Field and ALS Data. - Ritwika Mukhopadhyay; Mats Nilsson; Magnus Ekström; Eva Lindberg; Henrik J. Persson (IGARSS, 2023)

The use of dual-wavelength airborne laser scanning for estimating tree species composition and species-specific stem volumes in a boreal forest. - Christoffer R. Axelsson; Eva Lindberg; Henrik J. Persson; Johan Holmgren (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Influence of Crown Pixel Selection on the Early Detection of Bark Beetle Infestations Using Multispectral Drone Images. - Langning Huo; Run Yu 004; Eva Lindberg; Henrik J. Persson; Jonas Bohlin; Niwen Li (IGARSS, 2024)

Boreal tree species classification using airborne laser scanning data annotated with harvester production reports, and convolutional neural networks. - Raul de Paula Pires; Christoffer R. Axelsson; Eva Lindberg; Henrik J. Persson; Kenneth Olofsson; Johan Holmgren (Int. J. Appl. Earth Obs. Geoinformation, 2025)