LandScriptDeforestMap: An R package to evaluate deforestation in remote sensing images
Thiago Lappicy,
Ana I.R. Cabral,
Romero Gomes P. Da Silva,
Juliana Sobreira Arguelho,
Samira Pinho B. de Andrade,
Ana Karine Pereira,
Anne-Elisabeth Laques,
Carlos Hiroo Saito
Affiliations
Thiago Lappicy
University of Brasilia, Center for Sustainable Development, Campus Darcy Ribeiro, 70.910-900, Brasilia, Brazil; Corresponding author.
Ana I.R. Cabral
Forest Research Center (CEF), School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017, Lisbon, Portugal; Laboratory for Sustainable Land Use and Ecosystem Services, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017, Lisbon, Portugal
Romero Gomes P. Da Silva
University of Brasilia, Center for Sustainable Development, Campus Darcy Ribeiro, 70.910-900, Brasilia, Brazil
Juliana Sobreira Arguelho
University of Brasilia, Center for Sustainable Development, Campus Darcy Ribeiro, 70.910-900, Brasilia, Brazil
Samira Pinho B. de Andrade
University of Brasilia, Center for Sustainable Development, Campus Darcy Ribeiro, 70.910-900, Brasilia, Brazil
Ana Karine Pereira
University of Brasilia, Center for Sustainable Development, Campus Darcy Ribeiro, 70.910-900, Brasilia, Brazil
Anne-Elisabeth Laques
Research Institute for Development, UMR Espace-Dev, 34093, Montpellier, France
Carlos Hiroo Saito
University of Brasilia, Center for Sustainable Development, Campus Darcy Ribeiro, 70.910-900, Brasilia, Brazil; University of Brasilia, Institute of Biological Sciences, Department of Ecology, 70-910-900, Campus Darcy Ribeiro, Brasilia, Brazil
The LandScriptDeforestMap R package was developed for mapping and measuring deforestation dynamics using classified satellite images. It can be applied to different land cover types and grid sizes and was widely tested throughout the Amazon. This package allows providing information to different stakeholders focused on assessing and detecting deforestation and identifying possible driving causes (e.g. agriculture, pasture, urban growth, mining). This tool is of great value when designing new public policies dedicated to the sustainable management of land/forest, and contributes to the Sustainable Development Goal 15, aiding in a more transparent discussion and focusing on public policies driven by data.
