Use of machine learning as a tool for determining fire management units in the brazilian atlantic forest.

Autor: Juvanhol RS; Federal University of Piaui/UFPI, BR 135, Km 03, Planalto Horizonte, 64900-000 Bom Jesus, PI, Brazil., Fiedler NC; Federal University of Espírito Santo/UFES, Postgraduate Programme in Forest Sciences, Av. Governador Lindemberg, 316, Centro, 29550-000 Jerônimo Monteiro, ES, Brazil., Santos ARD; Federal University of Espírito Santo/UFES, Postgraduate Programme in Forest Sciences, Av. Governador Lindemberg, 316, Centro, 29550-000 Jerônimo Monteiro, ES, Brazil., Peluzio TMO; Federal Institute of Espírito Santo, Campus Alegre, Rodovia ES 482, Km 47, 29500-000 Alegre, ES, Brazil., Silva WBD; Federal University of Espírito Santo/UFES, Department of Rural Engineering, Alto Universitário, s/n, 29500-000 Alegre, ES, Brazil., Pinheiro CJG; Federal University of Espírito Santo/UFES, Department of Rural Engineering, Alto Universitário, s/n, 29500-000 Alegre, ES, Brazil., Sousa HCP; Federal University of Piaui/UFPI, BR 135, Km 03, Planalto Horizonte, 64900-000 Bom Jesus, PI, Brazil.

Publikováno v: Anais da Academia Brasileira de Ciencias [An Acad Bras Cienc] 2023 Apr 28; Vol. 95 (2), pp. e20201039. Date of Electronic Publication: 2023 Apr 28 (Print Publication: 2023).