Eva Lindberg

According to our database, Eva Lindberg authored at least 16 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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, April, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

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

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

2020

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2018

Forest Variable Estimation Using a High Altitude Single Photon Lidar System.

André Wästlund, Johan Holmgren, Eva Lindberg, Håkan Olsson

Remote. Sens., 2018

Tree Species Classification with Multi-Temporal Sentinel-2 Data.

Magnus Persson, Eva Lindberg, Heather Reese

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

Exploring Multispectral ALS Data for Tree Species Classification.

Arvid Axelsson, Eva Lindberg, Håkan Olsson

Remote. Sens., 2018

2016

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, Lingli Zhu, Jingbin Liu, Petteri Alho

IEEE Trans. Geosci. Remote. Sens., 2016

2015

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

2014

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

2013

Estimation of Tree Lists from Airborne Laser Scanning Using Tree Model Clustering and <i>k</i>-MSN Imputation.

Eva Lindberg, Johan Holmgren, Kenneth Olofsson, Jörgen Wallerman, Håkan Olsson

Remote. Sens., 2013

2012

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