Artificial intelligence associated with satellite data in predicting energy potential in the Brazilian savanna woodland area

Artificial intelligence associated with satellite data in predicting energy potential in the Brazilian savanna woodland area

The use of artificial intelligence to generate information of the savanna’s energy capacity may support sustainable management of those areas. We assessed the efficacy of artificial neural networks (ANNs) combined with satellite data to estimate the energy potential (Pe) for cerradão, a dense savann...

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Bibliographic Details
Main Authors: Carrijo JVN, Miguel EP, Teixeira Do Vale A, Matricardi EAT, Monteiro TC, Rezende AV, Inkotte J
Format: Article
Language:English
Published: Italian Society of Silviculture and Forest Ecology (SISEF) 2020-02-01
Series:iForest - Biogeosciences and Forestry
Subjects:
artificial neural networks
cerrado
higher heating value
biomass
modelling
forestry
Online Access:https://iforest.sisef.org/contents/?id=ifor3209-012

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