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
{"title":"LandScriptDeforestMap: An R package to evaluate deforestation in remote sensing images","authors":"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","doi":"10.1016/j.softx.2024.101799","DOIUrl":null,"url":null,"abstract":"<div><p>The <strong><em>LandScriptDeforestMap</em></strong> 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.</p></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2024-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352711024001705/pdfft?md5=f388fb1e71cf7ff5698bd32b33985e1b&pid=1-s2.0-S2352711024001705-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711024001705","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
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.
LandScriptDeforestMap R 软件包是为利用分类卫星图像绘制和测量毁林动态而开发的。它可应用于不同的土地覆被类型和网格大小,并在整个亚马逊地区进行了广泛测试。该软件包可为不同的利益相关者提供信息,重点评估和检测毁林情况,并确定可能的驱动原因(如农业、牧场、城市发展、采矿)。该工具在设计致力于土地/森林可持续管理的新公共政策时具有重要价值,并有助于实现可持续发展目标 15,有助于开展更加透明的讨论,并侧重于由数据驱动的公共政策。
期刊介绍:
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.