Langning Huo

Orcid: 0000-0001-8432-8609

According to our database1, Langning Huo authored at least 9 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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.
Comput. Electron. Agric., 2024

Comparing Different Methods of Calculating Red-Edge and Blue-Edge Inflection Position from Hyperspectral Data to Early Detect Tree Disease.
Proceedings of the IGARSS 2024, 2024

Influence of Crown Pixel Selection on the Early Detection of Bark Beetle Infestations Using Multispectral Drone Images.
Proceedings of the IGARSS 2024, 2024

2023
Comparison of Single Tree Species Classification Using Very Dense ALS Data or Dual-Wave ALS Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Exploring Common Hyperspectral Features of Early-Stage Pine Wilt Disease at Different Scales, for Different Pine Species, and at Different Regions.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Green Attack or Overfitting? Comparing Machine-Learning- and Vegetation-Index-Based Methods to Early Detect European Spruce Bark Beetle Attacks Using Multispectral Drone Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Identifying Nematode-Induced Wilt Using Hyperspectral Drone Images and Assessing the Potential of Early Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Comparing Spectral Differences Between Healthy and Early Infested Spruce Forests Caused by Bark Beetle Attacks using Satellite Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2020
Normalized Projected Red & SWIR (NPRS): A New Vegetation Index for Forest Health Estimation and Its Application on Spruce Bark Beetle Attack Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020


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