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Langning Huo
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2020 – today
- 2024
- [j1]Niwen Li, Langning Huo, Xiaoli Zhang:
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. Comput. Electron. Agric. 217: 108665 (2024) - 2023
- [c6]Langning Huo, Henrik J. Persson, Jonas Bohlin, Eva Lindberg:
Green Attack or Overfitting? Comparing Machine-Learning- and Vegetation-Index-Based Methods to Early Detect European Spruce Bark Beetle Attacks Using Multispectral Drone Images. IGARSS 2023: 546-549 - [c5]Henrik J. Persson, Christoffer R. Axelsson, Ritwika Mukhopadhyay, Langning Huo, Johan Holmgren:
Comparison of Single Tree Species Classification Using Very Dense ALS Data or Dual-Wave ALS Data. IGARSS 2023: 3066-3069 - [c4]Niwen Li, Langning Huo, Xiaoli Zhang:
Exploring Common Hyperspectral Features of Early-Stage Pine Wilt Disease at Different Scales, for Different Pine Species, and at Different Regions. IGARSS 2023: 7575-7578 - 2022
- [c3]Niwen Li, Xiaoli Zhang, Langning Huo:
Identifying Nematode-Induced Wilt Using Hyperspectral Drone Images and Assessing the Potential of Early Detection. IGARSS 2022: 512-515 - [c2]Langning Huo, Eva Lindberg, Johan E. S. Fransson, Henrik J. Persson:
Comparing Spectral Differences Between Healthy and Early Infested Spruce Forests Caused by Bark Beetle Attacks using Satellite Images. IGARSS 2022: 7709-7712 - 2020
- [c1]Langning Huo, Eva Lindberg, Henrik Persson:
Normalized Projected Red & SWIR (NPRS): A New Vegetation Index for Forest Health Estimation and Its Application on Spruce Bark Beetle Attack Detection. IGARSS 2020: 4618-4621
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