The Early Detection of the Emerald Ash Borer (EAB) Using Advanced Geospacial Technologies

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1. Three-Dimensional Reconstruction and Predictive Simulation Algorithm of Forest and Fruit Wood Borer Galleries Based on Two-Dimensional Images and Different Influencing Factors X. Li et al. 10.3390/agronomy12051087
2. Maple species identification based on leaf hyperspectral imaging data P. Dmitriev et al. 10.1016/j.rsase.2023.100964
3. Leaf-Level Spectroscopy for Analysis of Invasive Pest Impact on Trees in a Stressed Environment: An Example Using Emerald Ash Borer (Agrilus planipennis Fairmaire) in Ash Trees (Fraxinus spp.), Kansas, USA L. Moley et al. 10.3390/environments9040042
4. Detection of Emerging Stress in Trees Using Hyperspectral Indices as Classification Features L. Moley et al. 10.3390/environments11040085
5. Stability of vegetation growth in a noise-induced system D. Bhattacharya et al. 10.1007/s12040-020-01502-0
6. Early Monitoring of Forest Wood-Boring Pests with Remote Sensing Y. Luo et al. 10.1146/annurev-ento-120220-125410
7. Hierarchical land cover and vegetation classification using multispectral data acquired from an unmanned aerial vehicle O. Ahmed et al. 10.1080/01431161.2017.1294781
8. Mapping black ash dominated stands using geospatial and forest inventory data in northern Minnesota, USA P. Engelstad et al. 10.1139/cjfr-2018-0481