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.
Publications
2025
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.
Conference abstract2025
Architectural Traits Predisposing Trees to Damage: Usage of LiDAR Time Series
Penanhoat, Alice; Huo, Langning.
Research article2025Peer reviewedOpen access
Bark beetles as microclimate engineers - thermal characteristics of infested spruce trees at the canopy surface and below the canopy
Greiser, Caroline; Huo, Langning; Ghaly, Mark et al.
Conference paper2025Peer reviewed
Carotenoids increase as an indicator of early stress of trees: estimations using Green Shoulder Indices from hyperspectral drone data and radiative transfer model PROSAIL
Huo, Langning; Koivumäki, Niko; Näsi, Roope et al.
Conference paper2025Peer reviewed
Forest-Type Change Detection by Synergizing Multi-Source Remote Sensing Data in a Deep Learning Model FCCDNet
Yao, Zongqi; Lei, Lingting; Chai, Guoqi.
Conference paper2025Peer reviewedOpen access
Hyperspectral drone images indicate that green shoulder indices are robust in pre-emergence detection of spruce bark beetle infestation across spatial and temporal scales
Elias Cosimo, Luiz Henrique; Lindberg, Eva; Persson, Henrik et al.
Conference poster2025Peer reviewedOpen access
Carotenoids increase as an indicator of early stress of trees: Estimations using Green Shoulder Indices from Hyperspectral Drone Data and Radiative Transfer Model PROSAIL
Huo, Langning; Koivumäki, Niko; Näsi, Roope et al.
2024
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 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.
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 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.
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.
2023
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.