Amazon has one of the most diversified biome of the planet. Its environmental preservation has an impact in the global scenario. However, besides the environmental features, the complexity of the region involves other different aspects such as social, economic and cultural. In fact, these aspects are intrinsically interrelated, for example, cultural aspects may affect land use/land cover characteristics. This paper proposes an innovative methodology to investigate changes of critical factors in the environment, based on a case study in the 26 de Março Settlement, in the city of Marabá, in the Brazilian Amazon. The proposed methodology demonstrated, from the obtained results, an improvement of the efficiency of the classification technique to determine different thematic classes as well as a substantial enhancement in the precision of classified images. Another important aspect is the automation in the process with a minimum computational effort in performing the required analyses