USING MULTITEMPORAL HYPER- AND MULTISPECTRAL UAV IMAGING FOR DETECTING BARK BEETLE INFESTATION ON NORWAY SPRUCE

25 citations as recorded by crossref.

1. European beech spring phenological phase prediction with UAV-derived multispectral indices and machine learning regression S. Krause & T. Sanders 10.1038/s41598-024-66338-w
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3. UAV-Based Forest Health Monitoring: A Systematic Review S. Ecke et al. 10.3390/rs14133205
4. Bark beetle pre-emergence detection using multi-temporal hyperspectral drone images: Green shoulder indices can indicate subtle tree vitality decline L. Huo et al. 10.1016/j.isprsjprs.2024.07.027
5. What Is the Effect of Quantitative Inversion of Photosynthetic Pigment Content in Populus euphratica Oliv. Individual Tree Canopy Based on Multispectral UAV Images? Y. Kahaer et al. 10.3390/f13040542
6. Feasibility study of forest wood-boring pest detection base on hyperspectral LiDAR H. Shao et al. 10.1080/01431161.2024.2320180
7. Estimation of Tree Vitality Reduced by Pine Needle Disease Using Multispectral Drone Images L. Huo et al. 10.3390/rs17020271
8. Monitoring Bark Beetle Forest Damage in Central Europe. A Remote Sensing Approach Validated with Field Data A. Fernandez-Carrillo et al. 10.3390/rs12213634
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10. Remote sensing of bark beetle damage in Norway spruce individual tree canopies using thermal infrared and airborne laser scanning data fusion A. Zakrzewska & D. Kopeć 10.1016/j.fecs.2022.100068
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14. Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review S. Marvasti-Zadeh et al. 10.1145/3625387
15. Hyperspectral reflectance measurements from UAS under intermittent clouds: Correcting irradiance measurements for sensor tilt C. Köppl et al. 10.1016/j.rse.2021.112719
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19. Early Detection of Dendroctonus valens Infestation at Tree Level with a Hyperspectral UAV Image B. Gao et al. 10.3390/rs15020407
20. Physically based illumination correction for sub-centimeter spatial resolution hyperspectral data O. Ihalainen et al. 10.1016/j.rse.2023.113810
21. Automatic Detection of Phytophthora pluvialis Outbreaks in Radiata Pine Plantations Using Multi-Scene, Multi-Temporal Satellite Imagery N. Camarretta et al. 10.3390/rs16020338
22. Early Detection of Dendroctonus valens Infestation with Machine Learning Algorithms Based on Hyperspectral Reflectance B. Gao et al. 10.3390/rs14061373
23. Drone-based early detection of bark beetle infested spruce trees differs in endemic and epidemic populations A. Bozzini et al. 10.3389/ffgc.2024.1385687
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25. UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce B. Allen et al. 10.3390/rs14153830