The goal of this study was to determine the anthropization evolution of the Guamá river basin in the years 2000, 2008 and 2018 by means of the Anthropic Transformation Index. Land use and cover maps were obtained from two databases, Project Mapbiomas (Brazilian Annual Land Use and Land Cover Mapping Project) and PRODES (Project for the Satellite Monitoring of the Brazilian Amazon Forest). The main classes defined in the mapping process are: forest, natural non-forest vegetation, agriculture and livestock farming, secondary vegetation, urban infrastructure, water and others. Secondary vegetation was considered as the area where the forest classes of Mapbiomas intersects with the deforested areas of PRODES, as determined by the map algebra operator. The expansion of agriculture and livestock farming achieved an increase of about 10%, while the forest was reduced in almost 10%. The Guamá river basin obtained an Anthropic Transformation Index of 4.44 in 2000, 5.04 in 2008 and 5.09 in 2018, going from a regular to a degraded state in 18 years. The occupation process caused major alterations in the natural components of the landscape over the course of 18 years, notably in the amount of forest. Protection of 35% of the remnant primary forest in the Guamá river basin is vital for the conservation of water resources vulnerable to changes in land use.

This study aimed to identify priority areas for the passive restoration of the Arauaí river basin, municipality of Moju, Pará, using a multicriteria model. This basin is located in a region with intense land use dynamics and expansion of oil palm cultivation, and with high forest loss and fragmentation. The Weighted Linear Combination method was used, with the aggregation of five criteria (Natural Erosion Vulnerability, Potential Land Use and Cover to Passive Restoration, Proximity to the Primary Forest, Forest cover deficit in PPAs, and Distance from Roads and Highways). This analysis allowed to evaluate different biophysical classes and types of land use that affect the selection of areas for restoration. A total of 207.82 km² of priority areas for passive restoration were identified in the studied basin, with about 80% of its priority areas having medium to very high priority. The final map generated proved to be a useful instrument in the environmental management of restoration plans in the Amazon watershed.

O objetivo da pesquisa consiste na identificação de irregularidades com atual Código Florestal Brasileiro em Áreas de Preservação Permanente (APPs) da Bacia Hidrográfica do Rio Arauaí (BHRA), avaliando o passivo ambiental das APPs tendo como subsídio a combinação de técnicas de sensoriamento remoto e sistemas de informação geográfica. A BHRA esta localizada no município de Moju, com área total de 465,82 km². O estudo utilizou a técnicas de sensoriamento remoto e geoprocessamento para o mapeamento e classificação da imagem do sensor OLI, abordo do satélite Landsat-8 do ano 2015. A BHRA acompanha o ritmo de desmatamento do município de Moju, a área de APP na bacia é da ordem de 1.533,25 ha, que representa 3,29 % da área da bacia, sendo que a APP de cursos d’água representa 1.506,16 ha e de nascentes 33,22 ha, através disso, foi constatado situações de não conformidade com o Código Florestal vigente, o que requer mais atenção do poder público em fiscalizar e monitorar estas áreas que estão diretamente vulneráveis aos meios de degradação.