Assessing the detectability of European spruce bark beetle green attack in multispectral drone images with high spatial- and temporal resolutions
Research article (Peer reviewed)
Langning Huo
Department of Forest Resource Management
Email: langning.huo@slu.se
ORCID: 0000-0001-8432-8609
Publications
2023
Different triggers, different stories: Bark-beetle infestation patterns after storm and drought-induced outbreaks
Research article (Peer reviewed)
Estimating the conservation value of boreal forests using airborne laser scanning
Research article (Peer 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
Conference paper (Peer reviewed)
Exploring Common Hyperspectral Features of Early-Stage Pine Wilt Disease at Different Scales, for Different Pine Species, and at Different Regions
Conference paper
2022
Towards low vegetation identification: A new method for tree crown segmentation from LiDAR data based on a symmetrical structure detection algorithm (SSD)
Research article (Peer reviewed)
Classification of pine wilt disease at different infection stages by diagnostic hyperspectral bands
Research article (Peer reviewed)
Early detection of pine wilt disease tree candidates using time-series of spectral signatures
Research article (Peer reviewed)
Comparing Spectral Differences Between Healthy and Early Infested Spruce Forests Caused by Bark Beetle Attacks using Satellite Images
Conference paper (Peer reviewed)
Identifying Nematode-Induced Wilt Using Hyperspectral Drone Images and Assessing the Potential of Early Detection
Conference paper (Peer reviewed)
Potential of mapping forest damage from remotely sensed data
Report
Early detection of nematode-induced wilt using hyperspectral drone images
Conference abstract (Peer reviewed)
Comparing Spectral Differences Between Healthy and Early Infested Spruce Forests Attacked by Bark Beetles Using Satellite Images
Conference poster
Detectability of European spruce bark beetle green-attack using multispectral drone images
Conference abstract (Peer reviewed)
2021
Individual Tree Information Extraction and Accuracy Evaluation Based on Airborne LiDAR Point Cloud by Multilayer Clustering Method
Research article (Peer reviewed)
The Method of Matching Single Tree Information Extracted by Point Cloud to the Reference Data from Field Work through Bidirectional Selection
Research article (Peer reviewed)
Tree crown segmentation from LiDAR data based on a symmetrical structure detection algorithm (SSD)
Conference paper (Peer reviewed)
Estimation of nature conservation value using airborne laser scanning data by deadwood recognition
Conference paper (Peer reviewed)
Early detection of forest stress from European spruce bark beetle attack, and a new vegetation index: Normalized distance red & SWIR (NDRS)
Research article (Peer reviewed)
2020
Normalized Projected Red & SWIR (NPRS): A New Vegetation Index for Forest Health Estimation and Its Application on Spruce Bark Beetle Attack Detection
Conference paper (Peer reviewed)
Individual tree detection using template matching of multiple rasters derived from multispectral airborne laser scanning data
Research article (Peer reviewed)