Fábio Suzart Albuquerque
Lisandro de Proença Pieroni
With 5.63 million of hectares eucalyptus represents the most established forest in Brazil. This corresponds to 91% of all wood produced for industrial purposes, such as paper and pulp production. The productivity of Eucalyptus plantations, however, is strongly affected by abiotic and biotic diseases, such as water stress. Waterlogged soil is a key issue for the health of eucalyptus plantations. In this study, we used drones and multispectral sensors to fly over commercial plantations plots, to capture the light they reflect in four separate bands (red, red edge, green and infrared), and to generate custom images and index maps, such as the normalized difference vegetation index (NDVI). We used the NDVI map to visualize and understand the eucalyptus plantation health. Maps and images allowed us to observe abnormalities in only one forest plot. In this area, we observed higher spectral reflectance when compared to the rest of the plantation - NDVI values ranged from -0.02 to 0.96. High NDVI values corresponded to dense vegetation (uniform plantation), while low values represented areas with sparse or no vegetation (planting failures). Field analyses revealed that overwatering as the main cause of the uneven plant development in the affected area. Our results allow us to conclude that multispectral sensors and drones offers a comprehensive, flexible and powerful solution to map damage to eucalyptus plantations. We also conclude that NDVI is an important tool for identifying problems derived from the overwatering on eucalyptus plantations.
No datasets are available for this submission.