Canopy defoliation by leaf-cutting ants in eucalyptus plantations inferred by unsupervised machine learning applied to remote sensing

Author:

Santos Alexandre dosORCID,de Lima Santos Isabel Carolina,Costa Jeffersoney Garcia,Oumar Zakariyyaa,Bueno Mariane Camargo,Mota Filho Tarcísio Marcos Macedo,Zanetti Ronald,Zanuncio José Cola

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences

Reference63 articles.

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2. Almeida, K. E. C., Silva, J. G. S., Silva, I. M. A., Costa, A. L., & Laia, M. L. (2018). Ecophysiological analysis of Eucalyptus camaldulensis (Dehnh) submitted to attack from Thaumastocoris peregrinus. Revista Árvore, 42, e420120. https://doi.org/10.1590/1806-90882018000100020. Carpintero & Dellape

3. Alvares, C. A., Stape, J. L., Sentelhas, P. C., Gonçalves, J. L. M., & Sparovek, G. (2013). Köppen’s climate classification map for Brazil. Meteorologische Zeitschrift, 22, 711–728. https://doi.org/10.1127/0941-2948/2013/0507

4. Anderson, M. J. (2001). A new method for non-parametric multivariate analysis of variance. Austral Ecology, 26, 32–46. https://doi.org/10.1111/j.1442-9993.200101070.pp.x

5. Baloloy, A. B., Blanco, A. C., Candido, C. G., Argamosa, R. J. L., Dumalag, J. B. L. C., Dimapilis, L. L. C., & Paringit, E. C. (2018). Estimation of mangrove forest aboveground biomass using multispectral bands, vegetation indices and biophysical variables derived from optical satellite imageries: Rapideye, Planetscope and Sentinel-2. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-3, 29–36. https://doi.org/10.5194/isprs-annals-IV-3-29-2018

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