LandScriptDeforestMap : an R package to evaluate deforestation in remote sensing images

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Bibliographic Details
Main Author:	Gomes, Thiago Lappicy Lemos
Publication Date:	2024
Other Authors:	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
Format:	Article
Language:	eng
Source:	Repositório Institucional da UnB
Download full:	http://repositorio.unb.br/handle/10482/52523 https://doi.org/10.1016/j.softx.2024.101799 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
Summary:	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.

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