Langning Huo
Orcid: 0000-0001-8432-8609
According to our database1,
Langning Huo
authored at least 7 papers
between 2020 and 2024.
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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
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