Comparing Different Methods of Calculating Red-Edge and Blue-Edge Inflection Position from Hyperspectral Data to Early Detect Tree Disease-Reference-Cited by-同舟云学术

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Comparing Different Methods of Calculating Red-Edge and Blue-Edge Inflection Position from Hyperspectral Data to Early Detect Tree Disease

Published:2024-07-07 Issue: Volume: Page:10409-10412
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Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Li Niwen¹,Zhang Xiaoli²,Xie Zhiguo¹,Huo Langning³

Affiliation:

1. Shaanxi Academy of Forestry,Xi’an,China,710016

2. Beijing Forestry University,State Key Laboratory of Efficient Production of Forest Resources,Beijing,China,100083

3. Swedish University of Agriculture Sciences,Department of Forest Resource Management,Umeå,Sweden,SE-901 83

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642034.pdf?arnumber=10642034

Reference9 articles.

1. Exploring Common Hyperspectral Features of Early-Stage Pine Wilt Disease at Different Scales, for Different Pine Species, and at Different Regions

2. Estimate global risks of a forest disease under current and future climates using species distribution model and simple thermal model – Pine Wilt disease as a model case

3. Induction of resistance against pine wilt disease caused byBursaphelenchus xylophilususing selected pine endophytic bacteria

4. Detection of the Pine Wilt Disease Tree Candidates for Drone Remote Sensing Using Artificial Intelligence Techniques

5. Classification of pine wilt disease at different infection stages by diagnostic hyperspectral bands

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