Forskningsartikel2025Vetenskapligt granskadÖppen tillgång

Multispectral drone images for the early detection of bark beetle infestations: assessment over large forest areas in the Italian South-Eastern Alps

Bozzini, Aurora; Huo, Langning; Brugnaro, Stefano et al.

Forskningsartikel2024Vetenskapligt granskadÖppen tillgång

SAR Data and Harvesting Residues: An Initial Assessment of Estimation Potential

Udali, Alberto; Persson, Henrik J.; Talbot, Bruce et al.

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

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

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

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

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.

Forskningsartikel2024Vetenskapligt granskadÖppen tillgång

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

Persson, Henrik J.; Huuva, Ivan.

Konferensabstrakt2024

Developing multispectral and hyperspectral drone imagery to early identification of infestations of European spruce bark beetle

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

Konferensabstrakt2024

How early can we detect European spruce bark beetle attack using hyperspectral drone images with high spatial- and temporal resolution?

Cosimo, Luiz; Lindberg, Eva; Persson, Henrik 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.

Konferensartikel2024Vetenskapligt granskad

Borealscat-2: backscatter measurements of forest water dynamics

Ulander, Lars M. H.; Monteith, Albert R.; Persson, Henrik J. et al.

Konferensartikel2024Vetenskapligt granskad

Setup of a Drone-Based SAR Experiment to Analyze a Boreal Forest

Persson, Henrik, I; Mukhopadhyay, Ritwika; Valbuena, Ruben et al.

Konferensabstrakt2024Vetenskapligt granskadÖppen tillgång

Tower-based radar observations of sub-daily water dynamics in boreal forests

Fransson, Johan E. S.; Monteith, Albert R.; Persson, Henrik J. et al.

Konferensabstrakt2024Vetenskapligt granskad

Electromagnetic Simulation of Norway Spruce and Scots Pine for root volume estimation via SAR Tomography

Oré, G.; Persson, H. J.; Shevchenko.

Konferensabstrakt2024

New Digital transformation Technology, within the ESG Concept, for increased Circularity in the Boreal Forest by Using Drone-borne SAR

Oré, Gian; Persson, Henrik J.; Mukhopadhyay, Ritwika.

Konferensabstrakt2024

Drone-based SAR imaging of forest

Persson, Henrik; Valbuena, Ruben; Mukhopadhyay, Ritwika.

Konferensabstrakt2024

Smart forest inventory using samples of dense airborne laser scanning

Persson, Henrik; Olofsson, Kenneth; Mukhopadhyay, Ritwika et al.

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Mapping of deforestation and forest degradation in Vietnam using Sentinel-1/2 images

Khoa, Phùng Văn; Rüetschi, Marius; Huo, Langning et al.

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.

Henrik Persson

Publikationer

2025

Multispectral drone images for the early detection of bark beetle infestations: assessment over large forest areas in the Italian South-Eastern Alps

2024

SAR Data and Harvesting Residues: An Initial Assessment of Estimation Potential

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

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

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

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

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

Developing multispectral and hyperspectral drone imagery to early identification of infestations of European spruce bark beetle

How early can we detect European spruce bark beetle attack using hyperspectral drone images with high spatial- and temporal resolution?

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

Borealscat-2: backscatter measurements of forest water dynamics

Setup of a Drone-Based SAR Experiment to Analyze a Boreal Forest

Tower-based radar observations of sub-daily water dynamics in boreal forests

Electromagnetic Simulation of Norway Spruce and Scots Pine for root volume estimation via SAR Tomography

New Digital transformation Technology, within the ESG Concept, for increased Circularity in the Boreal Forest by Using Drone-borne SAR

Drone-based SAR imaging of forest

Smart forest inventory using samples of dense airborne laser scanning

Mapping of deforestation and forest degradation in Vietnam using Sentinel-1/2 images

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