Normalized Projected Red & SWIR (NPRS): A New Vegetation Index for Forest Health Estimation and Its Application on Spruce Bark Beetle Attack Detection. - Langning Huo; Eva Lindberg; Henrik Persson (IGARSS, 2020)

Comparing Spectral Differences Between Healthy and Early Infested Spruce Forests Caused by Bark Beetle Attacks using Satellite Images. - Langning Huo; Eva Lindberg; Johan E. S. Fransson; Henrik J. Persson (IGARSS, 2022)

Identifying Nematode-Induced Wilt Using Hyperspectral Drone Images and Assessing the Potential of Early Detection. - Niwen Li; Xiaoli Zhang 005; Langning Huo (IGARSS, 2022)

Green Attack or Overfitting? Comparing Machine-Learning- and Vegetation-Index-Based Methods to Early Detect European Spruce Bark Beetle Attacks Using Multispectral Drone Images. - Langning Huo; Henrik J. Persson; Jonas Bohlin; Eva Lindberg (IGARSS, 2023)

Exploring Common Hyperspectral Features of Early-Stage Pine Wilt Disease at Different Scales, for Different Pine Species, and at Different Regions. - Niwen Li; Langning Huo; Xiaoli Zhang 005 (IGARSS, 2023)

Comparison of Single Tree Species Classification Using Very Dense ALS Data or Dual-Wave ALS Data. - Henrik J. Persson; Christoffer R. Axelsson; Ritwika Mukhopadhyay; Langning Huo; Johan Holmgren (IGARSS, 2023)

Influence of Crown Pixel Selection on the Early Detection of Bark Beetle Infestations Using Multispectral Drone Images. - Langning Huo; Run Yu 004; Eva Lindberg; Henrik J. Persson; Jonas Bohlin; Niwen Li (IGARSS, 2024)

Comparing Different Methods of Calculating Red-Edge and Blue-Edge Inflection Position from Hyperspectral Data to Early Detect Tree Disease. - Niwen Li; Xiaoli Zhang 005; Zhiguo Xie; Langning Huo (IGARSS, 2024)

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. - Niwen Li; Langning Huo; Xiaoli Zhang 005 (Comput. Electron. Agric., 2024)