Modelagem espacial de vetores sociais em imagens de sensoriamento remoto para a leitura da diversidade estrutural do desenvolvimento rural da Amazônia: trajetórias tecnológicas em competição na microrregião de Tomé-Açu

Abstract

In this doctoral thesis, a methodology for spatialization of social and economic data in remote sensing images is developed, guided by the concept of technological trajectories applied to agrarian dynamics in the Amazon, with the objective of contributing to studies on deforestation and changes in land use. The work is carried out from the land mapping of a large agricultural region in the state of Pará, and the integration of statistics from the IBGE Agricultural Census with images from the LANDSAT satellite in the 1995-1996 and 2005-2006 years. As a result, it appears that the integration of social data in remote sensing images allows a more detailed reading of the vegetation with the integration of spectral data to the economic vectors that determine agricultural exploitation, allowing to conclude that the application of the concept of technological trajectories with explicit spatial reference facilitates a greater understanding of the driving forces behind deforestation and changes in land use in the Amazon.