Both manual and semi-mechanized systems are used for operations involved in coppice remodeling. Thus, there is a paradigm about the higher yield of semi-mechanized operations compared to manual operations. However, the small volume of research on this subject does not present data which is capable of confirming this hypothesis. Thus, the present study aimed to perform a technical analysis of costs, quality and productivity of different methods for conducting regrowth in Eucalyptus grandis x Eucalyptus urophylla hybrid plantations under coppice regeneration in areas of forest fostering. The experiment was conducted under a completely randomized design with four treatments (sprouting methods) and four replications in plots of 360m² each. The methods used were: brushcutter, sickle, machete and hand digger. An F-test (p <0.05) was performed to verify the differentiation between treatments for a given characteristic after verifying the normal distribution of data and homogeneity of variances. The means were compared by analysis of variance at the 5% significance level to analyze if there was significant difference between the operating times in the analyzed methods. An estimate of the costs per hectare was subsequently obtained in each offspring method and the quality of the operation was evaluated by observing the frequency of damage to the remaining trunk. The mean operation time of the methods did not differ significantly (p> 0.05). The brushcutter presented the highest cost per hectare (US$ 40,06/ha-1) and the excavator presented the lowest (US$ 18,65/ha-1). Spreading with the brushcutter presented the lowest percentage of mechanical damage (6.88%) and the sickle obtained the highest (20.63%). It was concluded that the operation with brushcutter was the method that provided the highest productivity, but has the highest operational cost, making the method with brushcutter, advantageous for its low cost, associated with a satisfactory productivity.

The definition of strategies for forest restoration projects depends on information of the successional stage of the area to be restored. Usually, classification of the successional stage is carried out in the field using forest inventory campaigns. However, these campaigns are costly, time-consuming, and limited in terms of spatial coverage. Currently, forest inventories are being improved using 3D data obtained from remote sensing. The objective of this work was to estimate several parameters of interest for the classification of the successional stages of secondary vegetation areas using 3D digital aerial photogrammetry (DAP) data obtained from unmanned aerial vehicles (UAVs). A cost analysis was also carried out considering the costs of equipment and data collection, processing, and analysis. The study was carried out in southeastern Brazil in areas covered by secondary Atlantic Forest. Regression models were fit to estimate total height (h), diameter at breast height (dbh), and basal area (ba) of trees in 40 field inventory plots (0.09 ha each). The models were fit using traditional metrics based on heights derived from DAP and a portable laser scanner (PLS). The prediction models based on DAP data yielded a performance similar to models fit with LiDAR, with values of R² ranging from 88.3% to 94.0% and RMSE between 11.1% and 28.5%. Successional stage maps produced by DAP were compatible with the successional classes estimated in the 40 field plots. The results show that UAV photogrammetry metrics can be used to estimate h, dbh, and ba of secondary vegetation with an accuracy similar to that obtained from LiDAR. In addition to presenting the lowest cost, the estimates derived from DAP allowed for the classification of successional stages in the analyzed secondary forest areas.

A arborização urbana favorece a qualidade ambiental proporcionando diversos benefícios como o bem-estar, o controle da poluição do ar, o conforto térmico, o abrigo à fauna, o estímulo às práticas esportivas, entre tantos outros. Este trabalho teve como objetivo mapear e quantificar a área coberta por arborização de ruas na cidade de Alegre, Espírito Santo, Brasil. Foram mapeadas, por meio da técnica da fotointerpretação, todas as copas das árvores existentes nos bairros da cidade. O programa computacional utilizado foi o QGIS, versão 3.4.5, e as bases cartográficas foram as ortofotos da região, que possuem resolução espacial de 0,25 m, referentes ao ano de 2015/2017. Verificou-se que a cidade de Alegre possui 32.622,17 m² de área coberta com arborização de ruas, o que representa 0,58% da área total da cidade. Os bairros que apresentam maior porcentagem de cobertura de copa pela arborização de ruas por área são: Centro (2,36%), Nova Alegre (2,14%), Universitário (1,87%); e os que apresentam o menor percentual são: Pavuna (0,18%), Charqueada (0,16%) e Treze de Maio (0,11). O trabalho contribui para o conhecimento da arborização urbana da cidade, podendo ser utilizado em futuros estudos de planejamento e gestão urbana.