Research article2025Peer reviewedOpen access

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.

Research article2025Peer reviewedOpen access

Estimation of Tree Vitality Reduced by Pine Needle Disease Using Multispectral Drone Images

Huo, Langning; Matsiakh, Iryna; Bohlin, Jonas et al.

Research article2025Peer reviewedOpen access

Sensitivity analysis of the Green Shoulder indices in pre-emergence detection of single trees attacked by European spruce bark beetle

Huo, Langning; Koivumaki, Niko; Nasi, Roope et al.

Research article2024Peer reviewedOpen access

Bark beetle pre-emergence detection using multi-temporal hyperspectral drone images: Green shoulder indices can indicate subtle tree vitality decline

Huo, Langning; Koivumaki, Niko; Oliveira, Raquel A. et al.

Conference paper2024Peer reviewed

Comparing Different Methods of Calculating Red-Edge and Blue-Edge Inflection Position from Hyperspectral Data to Early Detect Tree Disease

Li, Niwen; Zhang, Xiaoli; Xie, Zhiguo et al.

Research article2024Peer reviewed

Using only the red-edge bands is sufficient to detect tree stress: A case study on the early detection of PWD using hyperspectral drone images

Li, Niwen; Huo, Langning; Zhang, Xiaoli.

Research article2024Peer reviewedOpen access

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.

Research article2024Peer reviewedOpen access

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

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

Conference paper2024Peer reviewed

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

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

Conference abstract2024

Mapping of structures for biodiversity in boreal forest in Sweden from airborne laser scanning data and Sentinel-2 satellite images

Lindberg, Eva Sara; Huo, Langning; Nilsson, Mats et al.

Conference abstract2024

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

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

Conference abstract2024

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

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

Conference abstract2024

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.

Research article2023Peer reviewedOpen access

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

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

Conference paper2023Peer reviewed

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.

Conference paper2023Open access

Exploring Common Hyperspectral Features of Early-Stage Pine Wilt Disease at Different Scales, for Different Pine Species, and at Different Regions

Li, Niwen; Huo, Langning; Zhang, Xiaoli.

Research article2023Peer reviewedOpen access

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.

Research article2023Peer reviewedOpen access

Estimating the conservation value of boreal forests using airborne laser scanning

Huo, Langning; Strengbom, Joachim; Lundmark, Tomas et al.

Conference paper2023Peer reviewed

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

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

Conference paper2022Peer reviewedOpen access

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.

Research article2022Peer reviewedOpen access

Towards low vegetation identification: A new method for tree crown segmentation from LiDAR data based on a symmetrical structure detection algorithm (SSD)

Huo, Langning; Lindberg, Eva; Holmgren, Johan.

Research article2022Peer reviewedOpen access

Classification of pine wilt disease at different infection stages by diagnostic hyperspectral bands

Li, Niwen; Huo, Langning; Zhang, Xiaoli.

Research article2022Peer reviewedOpen access

Early detection of pine wilt disease tree candidates using time-series of spectral signatures

Yu, Run; Huo, Langning; Huang, Huaguo et al.

Conference paper2022Peer reviewed

Identifying Nematode-Induced Wilt Using Hyperspectral Drone Images and Assessing the Potential of Early Detection

Li, Niwen; Zhang, Xiaoli; Huo, Langning.

Report2022Open access

Potential of mapping forest damage from remotely sensed data

Lindberg, Eva; Bohlin, Inka; Bohlin, Jonas et al.

Langning Huo

Publications

2025

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

Estimation of Tree Vitality Reduced by Pine Needle Disease Using Multispectral Drone Images

Sensitivity analysis of the Green Shoulder indices in pre-emergence detection of single trees attacked by European spruce bark beetle

2024

Bark beetle pre-emergence detection using multi-temporal hyperspectral drone images: Green shoulder indices can indicate subtle tree vitality decline

Comparing Different Methods of Calculating Red-Edge and Blue-Edge Inflection Position from Hyperspectral Data to Early Detect Tree Disease

Using only the red-edge bands is sufficient to detect tree stress: A case study on the early detection of PWD using hyperspectral drone images

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

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

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

Mapping of structures for biodiversity in boreal forest in Sweden from airborne laser scanning data and Sentinel-2 satellite images

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

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?

2023

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

Exploring Common Hyperspectral Features of Early-Stage Pine Wilt Disease at Different Scales, for Different Pine Species, and at Different Regions

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

Estimating the conservation value of boreal forests using airborne laser scanning

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

2022

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

Towards low vegetation identification: A new method for tree crown segmentation from LiDAR data based on a symmetrical structure detection algorithm (SSD)

Classification of pine wilt disease at different infection stages by diagnostic hyperspectral bands

Early detection of pine wilt disease tree candidates using time-series of spectral signatures

Identifying Nematode-Induced Wilt Using Hyperspectral Drone Images and Assessing the Potential of Early Detection

Potential of mapping forest damage from remotely sensed data