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.
Langning Huo
Department of Forest Resource Management
Email: langning.huo@slu.se
ORCID: 0000-0001-8432-8609
Publications
2024
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.
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
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
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.
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.
2022
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.
Conference abstract2022Peer reviewed
Early detection of nematode-induced wilt using hyperspectral drone images
Li, Niwen; Huo, Langning; Zhang, Xiaoli.
Conference poster2022
Comparing Spectral Differences Between Healthy and Early Infested Spruce Forests Attacked by Bark Beetles Using Satellite Images
Huo, Langning; Lindberg, Eva; Fransson, Johan et al.
Conference abstract2022Peer reviewed
Detectability of European spruce bark beetle green-attack using multispectral drone images
Huo, Langning; Lindberg, Eva; Bohlin, Jonas et al.
2021
Conference paper2021Peer reviewed
Tree crown segmentation from LiDAR data based on a symmetrical structure detection algorithm (SSD)
Huo, Langning; Lindberg, Eva; Holmgren, Johan.
Conference paper2021Peer reviewed
Estimation of nature conservation value using airborne laser scanning data by deadwood recognition
Huo, Langning; Strengbom, Joachim; Lindberg, Eva.
Research article2021Peer reviewedOpen access
Early detection of forest stress from European spruce bark beetle attack, and a new vegetation index: Normalized distance red & SWIR (NDRS)
Huo, Langning; Persson, Henrik Jan; Lindberg, Eva.
2020
Conference paper2020Peer reviewedOpen access
Normalized Projected Red & SWIR (NPRS): A New Vegetation Index for Forest Health Estimation and Its Application on Spruce Bark Beetle Attack Detection
Huo, Langning; Lindberg, Eva; Persson, Henrik.