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Abstract

Decision making on deforestation in the Amazon has been efficient due to monitoring programs using remote sensing. Thus, our objective was to identify the expansion of soy farming in disagreement with the Soy Moratorium in the Amazon of Mato Grosso from 2008 to 2019. Deforestation data from PRODES and ImazonGeo programs were used. The PCEI was calculated using a cloud platform for soybean areas identification. The Mann-Kendall and Pettitt tests were used to identify trends across the time series. Our results revealed a difference between these programs on deforestation and forest-to-soy conversion areas. According to PRODES data, 1,387,288 ha were deforested from August 2008 to October 2019, of which 108,411 ha were converted to soybeans. ImazonGeo data showed 729,204 hectares deforested and 46,182 hectares converted to soybean areas. These results indicate that the PRODES system has greater data variability and higher averages than ImazonGeo.

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Institutions
  • 1 Universidade Estadual Paulista “Júlio de Mesquita Filho” - Campus Ilha Solteira
  • 2 Universidade do Estado de Mato Grosso
  • 3 Universidade Federal de Mato Grosso do Sul
  • 4 Universidade Estadual de Maringá
  • 5 Universidade Estadual Paulista “Júlio de Mesquita Filho”
  • 6 Universidade do Estado de Mato Grosso - UNEMAT
Track
  • 17. Land-use and land-cover change
Keywords
Amazon; Remote Sensing; agricultural culture; Public Policies; sustainability