Cálculo Do Volume De Corte E Aterro Usando Modelagem Numérica ...

Redução do número de parcelas para modelagem da prognose do volume de florestaKaio Nery

2016

NERY, Kaio Cesar Mendes da Silva. Redcution the plots number for modeling the prognosis of size forest, 2016.42p. (Dissertation-M.Sc. in Forest Sciences)-Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina, 2016. This study aimed to evaluate the effects of permanent plots in the cost of carrying out the continuous forest inventory and to perform prognosis of forest production comparing the use of Artificial Neural Networks to the traditional model proposed by Clutter (1963). Data were obtained from municipalities located in the northern region of Bahia state yielding 3,000 hectares of forest. Two different methodologies were proposed to reduce the number of parcels. The methodology proposed for the study 1 involved the random division of the data into two groups consisting of random reducing portions of 10, 20, 30, 40, 50, 60, 70, 80, and 90% with these percentages used for training and the remaining 90, 80, 70, 60, 50, 40, 30, 20, 10% used for validation. The methodology proposed for study 2 consisted of random reduction in parcels with a fixed parcel per site 10, 20, 30, 40, 50 and 60 in each class (30, 60, 90, 120, 150 and 180 parcels). The estimates of the study variables were generated in the computer system Neuroforest 3.3. The applications of Artificial Neural Networks showed satisfactory results and the application of both methodologies have considerably reduced the cost for conducting the forest inventory.

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