Forskningsartikel2024Vetenskapligt granskadÖppen tillgång

Large-scale wall-to-wall mapping of bark beetle damage and forest practices using the distance red swir index and operational harvester data

Persson, Henrik J.; Karvemo, Simon; Lindberg, Eva et al.

Forskningsartikel2024Vetenskapligt granskadÖppen tillgång

Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time - and how this affects applications

Stahl, Goran; Gobakken, Terje; Saarela, Svetlana et al.

Forskningsartikel2024Vetenskapligt granskadÖppen tillgång

Computation of prediction intervals for forest aboveground biomass predictions using generalized linear models in a large-extent boreal forest region

Mukhopadhyay, Ritwika; Ekström, Magnus; Lindberg, Eva et al.

Konferensartikel2024Vetenskapligt granskad

Influence of Crown Pixel Selection on the Early Detection of Bark Beetle Infestations Using Multispectral Drone Images

Huo, Langning; Yu, Run; Lindberg, Eva.

Forskningsartikel2024Vetenskapligt granskadÖppen tillgång

Polarimetric Measures in Biomass Change Prediction Using ALOS-2 PALSAR-2 Data

Persson, Henrik J.; Huuva, Ivan.

Forskningsartikel2024Vetenskapligt granskadÖppen tillgång

Mobile laser scanning as reference for estimation of stem attributes from airborne laser scanning

Pires, Raul de Paula; Lindberg, Eva; Persson, Henrik Jan et al.

Forskningsartikel2024Vetenskapligt granskadÖppen tillgång

Analyzing the environmental risk factors of European spruce bark beetle damage at the local scale

Huo, Langning; Persson, Henrik Jan; Lindberg, Eva.

Forskningsartikel2023Vetenskapligt granskadÖppen tillgång

A concept for application of integrated digital technologies to enhance future smart agricultural systems

Gebresenbet, Girma; Bosona, Techane; Patterson, David et al.

Forskningsartikel2023Vetenskapligt granskadÖppen tillgång

Different triggers, different stories: Bark-beetle infestation patterns after storm and drought-induced outbreaks

Karvemo, S.; Huo, L.; Ohrn, P. et al.

Konferensartikel2023Vetenskapligt granskad

Green Attack or Overfitting? Comparing Machine-Learning- and Vegetation-Index-Based Methods to Early Detect European Spruce Bark Beetle Attacks Using Multispectral Drone Images

Huo, Langning; Persson, Henrik; Bohlin, Jonas et al.

Forskningsartikel2023Vetenskapligt granskadÖppen tillgång

Assessing the detectability of European spruce bark beetle green attack in multispectral drone images with high spatial- and temporal resolutions

Huo, Langning; Lindberg, Eva; Bohlin, Jonas et al.

Bokkapitel2023Vetenskapligt granskadÖppen tillgång

Monitoring as a field

Allard, Anna; Wood, Claire; Norton, Lisa et al.

Forskningsartikel2023Vetenskapligt granskadÖppen tillgång

Mapping and Estimating Aboveground Biomass in an Alpine Treeline Ecotone under Model-Based Inference

Mukhopadhyay, Ritwika; Naesset, Erik; Gobakken, Terje et al.

Forskningsartikel2023Vetenskapligt granskadÖppen tillgång

The use of dual-wavelength airborne laser scanning for estimating tree species composition and species-specific stem volumes in a boreal forest

Axelsson, Christoffer R.; Lindberg, Eva; Persson, Henrik J. et al.

Konferensartikel2023Vetenskapligt granskadÖppen tillgång

Comparing TanDEM-X InSAR Forest Stand Volume Prediction Models Trained Using Field and ALS Data

Mukhopadhyay, Ritwika; Nilsson, Mats; Ekström, Magnus et al.

Konferensartikel2023Vetenskapligt granskad

Comparison of single tree species classification using very dense ALS data or dual-wave ALS data

Persson, Henrik; Axelsson, Christoffer; Mukhopadhyay, Ritwika et al.

Forskningsartikel2023Vetenskapligt granskadÖppen tillgång

Prediction of Site Index and Age Using Time Series of TanDEM-X Phase Heights

Huuva, Ivan; Wallerman, Jorgen; Fransson, Johan E. S. et al.

Konferensartikel2023Vetenskapligt granskad

Prediction of Hemi-Boreal Forest Biomass Change Using Alos-2 Palsar-2 L-Band SAR Backscatter

Huuva, Ivan; Persson, Henrik; Wallerman, Jörgen et al.

Konferensabstrakt2023

Impact of field reference errors for remote sensing predictions

Persson, Henrik; Ekström, Magnus; Ståhl, Göran.

Konferensartikel2022Vetenskapligt granskadÖppen tillgång

Comparing Spectral Differences Between Healthy and Early Infested Spruce Forests Caused by Bark Beetle Attacks using Satellite Images

Huo, Langning; Lindberg, Eva; Fransson, Johan E. S. et al.

Forskningsartikel2022Vetenskapligt granskadÖppen tillgång

Tree crown segmentation in three dimensions using density models derived from airborne laser scanning

Holmgren, Johan; Lindberg, Eva; Olofsson, Kenneth et al.

Forskningsartikel2022Vetenskapligt granskadÖppen tillgång

Two-phase forest inventory using very-high-resolution laser scanning

Persson, Henrik J.; Olofsson, Kenneth; Holmgren, Johan.

Forskningsartikel2022Vetenskapligt granskadÖppen tillgång

Individual tree detection and estimation of stem attributes with mobile laser scanning along boreal forest roads

Olofsson, Kenneth; Lindberg, Eva; Holmgren, Johan et al.

Forskningsartikel2022Vetenskapligt granskadÖppen tillgång

Learning multiobjective rough terrain traversability

Wallin, Erik; Wiberg, Viktor; Vesterlund, Folke et al.

Konferensartikel2022Vetenskapligt granskad

Detectability of Silvicultural Treatments in Time Series of Penetration Depth Corrected Tandem-X Phase Heights

Huuva, Ivan; Persson, Henrik J.; Wallerman, Jorgen et al.

Henrik Persson

Publikationer

2024

Large-scale wall-to-wall mapping of bark beetle damage and forest practices using the distance red swir index and operational harvester data

Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time - and how this affects applications

Computation of prediction intervals for forest aboveground biomass predictions using generalized linear models in a large-extent boreal forest region

Influence of Crown Pixel Selection on the Early Detection of Bark Beetle Infestations Using Multispectral Drone Images

Polarimetric Measures in Biomass Change Prediction Using ALOS-2 PALSAR-2 Data

Mobile laser scanning as reference for estimation of stem attributes from airborne laser scanning

Analyzing the environmental risk factors of European spruce bark beetle damage at the local scale

2023

A concept for application of integrated digital technologies to enhance future smart agricultural systems

Different triggers, different stories: Bark-beetle infestation patterns after storm and drought-induced outbreaks

Green Attack or Overfitting? Comparing Machine-Learning- and Vegetation-Index-Based Methods to Early Detect European Spruce Bark Beetle Attacks Using Multispectral Drone Images

Assessing the detectability of European spruce bark beetle green attack in multispectral drone images with high spatial- and temporal resolutions

Monitoring as a field

Mapping and Estimating Aboveground Biomass in an Alpine Treeline Ecotone under Model-Based Inference

The use of dual-wavelength airborne laser scanning for estimating tree species composition and species-specific stem volumes in a boreal forest

Comparing TanDEM-X InSAR Forest Stand Volume Prediction Models Trained Using Field and ALS Data

Comparison of single tree species classification using very dense ALS data or dual-wave ALS data

Prediction of Site Index and Age Using Time Series of TanDEM-X Phase Heights

Prediction of Hemi-Boreal Forest Biomass Change Using Alos-2 Palsar-2 L-Band SAR Backscatter

Impact of field reference errors for remote sensing predictions

2022

Comparing Spectral Differences Between Healthy and Early Infested Spruce Forests Caused by Bark Beetle Attacks using Satellite Images

Tree crown segmentation in three dimensions using density models derived from airborne laser scanning

Two-phase forest inventory using very-high-resolution laser scanning

Individual tree detection and estimation of stem attributes with mobile laser scanning along boreal forest roads

Learning multiobjective rough terrain traversability

Detectability of Silvicultural Treatments in Time Series of Penetration Depth Corrected Tandem-X Phase Heights