Mapeamento de açaizais nativos com uso de aeronave remotamente pilotada (ARP) na comunidade Arraiol do Bailique, Amapá, Brasil

Abstract

The açaí (Euterpe o Mart.) is a forest product of great socioeconomic value, its production helps in the composition of the income of countless Amazonian families. The increase in demand for fruits has led to changes in the traditional systems of forest use, especially in floodplain areas, environments of natural occurrence of this species. In this aspect, studies that assess its spatial and socio-environmental dynamics become fundamental for monitoring this activity over time. However, the mapping of this palm tree is difficult due to its occurrence in the forest, traditional methods such as field inventories and interpretation of low-viable images. In these aspects, the study presents the mapping of native açaí groves, in an açaí producing community in the Bailique archipelago, Amapá, a visual interpretation of floodplain forests combined with data from participatory mapping and supervised classification using Artificial Neural Networks (ANN) based on the object-oriented classification technique (GEOBIA). The methodology adopted to invest in the security of an open site and code for classification in very high resolution images Approved for mapping the approved results, confirmed by the moderate Kapptoria index of 0.68, tested in different types of experimentation (stratified random and consistently simple). With the results of the visual interpretation, it was possible to detect the distribution pattern of native triggers in communities under different use regimes, with percentages of coverage ranging from 5% (areas of swiddens) to 10% (areas of management and SAFs). Once the paths to reach the fields of study, limits of a path to the goals will still be needed.