Título:	LandScriptDeforestMap : an R package to evaluate deforestation in remote sensing images
Autor(es):	Gomes, Thiago Lappicy Lemos Cabral, Ana Isabel Rosa Silva, Romero Gomes Pereira da Arguelho, Juliana Sobreira Andrade, Samira Pinho Bezerra de Pereira, Ana Karine Laques, Anne-Elisabeth Saito, Carlos Hiroo
ORCID:	https://orcid.org/0000-0003-1307-3885 https://orcid.org/0000-0001-6417-450X https://orcid.org/0000-0002-2201-8012 https://orcid.org/0000-0003-4123-0833 https://orcid.org/0000-0002-7282-6122 https://orcid.org/0000-0003-4469-270X https://orcid.org/0000-0002-5757-9629
Afiliação do autor:	University of Brasilia, Center for Sustainable Development University of Lisbon, School of Agriculture, Forest Research Center University of Lisbon, School of Agriculture, Laboratory for Sustainable Land Use and Ecosystem Services University of Brasilia, Center for Sustainable Development University of Brasilia, Center for Sustainable Development University of Brasilia, Center for Sustainable Development University of Brasilia, Center for Sustainable Development UMR Espace-Dev, Research Institute for Development University of Brasilia, Institute of Biological Sciences, Department of Ecology
Assunto:	Objetivos de Desenvolvimento Sustentável (ODS) Desmatamento - Amazônia Sensoriamento remoto Política pública
Data de publicação:	29-Jun-2024
Editora:	Elsevier
Referência:	GOMES, Thiago Lappicy Lemos et al. LandScriptDeforestMap: an R package to evaluate deforestation in remote sensing images. SoftwareX, [S.l.], v. 27, e101799, 2024. DOI: https://doi.org/10.1016/j.softx.2024.101799. Disponível em: https://www.sciencedirect.com/science/article/pii/S2352711024001705?via%3Dihub. Acesso em: 01 ago. 2025.
Abstract:	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.
Unidade Acadêmica:	Instituto de Ciências Biológicas (IB) Departamento de Ecologia (IB ECL) Centro de Desenvolvimento Sustentável (CDS)
Programa de pós-graduação:	Programa de Pós-Graduação em Desenvolvimento Sustentável
Licença:	This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/bync/4.0/).
DOI:	https://doi.org/10.1016/j.softx.2024.101799
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