Priscila Siqueira Aranha¹, Flavia Pessoa Monteiro¹, Paulo Andre Ignacio Pontes⁵, Jorge Antonio Moraes de Souza², Nandamudi Lankalapalli Vijaykumar⁴ , Maurilio de Abreu Monteiro³ and Carlos Renato Lisboa Frances¹, ¹Federal University of Para (UFPA), Brazil, ²Federal Rural University of Amazonia (UFRA), Brazil, ³Federal University of South and Southeast of Para (UNIFESSPA), Brazil, ⁴National Institute for Space Research (INPE), Brazil and ⁵Federal Institute of Education, Science and Technology of Para (IFPA), Brazil

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

Image Classification, LULC, LULCC, LANDSAT 5 satellite, 26th March Settlement, TerraClass, Decision Tree, CART, MPL