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

33 citations as recorded by crossref.

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17. Tree Health Assessment Using Mask R-CNN on UAV Multispectral Imagery over Apple Orchards M. Kaviani et al. https://doi.org/10.3390/rs17193369
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19. Early Detection of Southern Pine Beetle Attack by UAV-Collected Multispectral Imagery C. Kanaskie et al. https://doi.org/10.3390/rs16142608
20. High Spatial and Temporal Resolution Energy Flux Mapping of Different Land Covers Using an Off-the-Shelf Unmanned Aerial System J. Simpson et al. https://doi.org/10.3390/rs13071286
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23. Early Detection of Dendroctonus valens Infestation at Tree Level with a Hyperspectral UAV Image B. Gao et al. https://doi.org/10.3390/rs15020407
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25. Early Detection of Herbicide-Induced Tree Stress Using UAV-Based Multispectral and Hyperspectral Imagery R. Main et al. https://doi.org/10.3390/f16081240
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28. Drone-based early detection of bark beetle infested spruce trees differs in endemic and epidemic populations A. Bozzini et al. https://doi.org/10.3389/ffgc.2024.1385687
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33. UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce B. Allen et al. https://doi.org/10.3390/rs14153830