The Amazonian tropical rainforests have historically been the target of non-sustainable land use practices, remain the scars of degradation from predatory logging, indiscriminate use of fire, high rates of deforestation and other activities that interfere in forest biodiversity conservation actions. In this scenario, the State actuation through policies that encourage more sustainable uses is needed, like the forest concession that seeks to contribute to natural resources conservation and maintenance of biodiversity through forest management. The generation of products like Normalized Difference Vegetation Index, Linear Spectral Mixture Model and Canopy Gap Fraction was done in order to create elements of interpretation and analysis of the canopy openness variable. This research studied the Forest Management Unit I of the Mamuru-Arapiuns lot, west region of Pará state, where canopy openness of this forest concession area was quantified and evaluated through multispectral images and hemispherical photographs to analyze the degradation and quality of the management executed in this area. The results obtained showed that is possible to establish a monitoring process by the use of the sensors and technics applied, once the LSMM data, specially the unmixed image soil showed strong covariance relation with the field data from hemispherical photographs, allowing it to be considered a good warning tool to amazon forests monitoring actions. This way, it is possible to make the management of forests more accessible to the government and non-governmental or private organizations to police the logging actions and aggregate the population that live on these areas, with income opportunities and forest conservation.
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