LandScriptDeforestMap:用于评估遥感图像中森林砍伐情况的 R 软件包

IF 2.4 4区 计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING
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:用于评估遥感图像中森林砍伐情况的 R 软件包","authors":"Thiago Lappicy ,&nbsp;Ana I.R. Cabral ,&nbsp;Romero Gomes P. Da Silva ,&nbsp;Juliana Sobreira Arguelho ,&nbsp;Samira Pinho B. de Andrade ,&nbsp;Ana Karine Pereira ,&nbsp;Anne-Elisabeth Laques ,&nbsp;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":"{\"title\":\"LandScriptDeforestMap: An R package to evaluate deforestation in remote sensing images\",\"authors\":\"Thiago Lappicy ,&nbsp;Ana I.R. Cabral ,&nbsp;Romero Gomes P. Da Silva ,&nbsp;Juliana Sobreira Arguelho ,&nbsp;Samira Pinho B. de Andrade ,&nbsp;Ana Karine Pereira ,&nbsp;Anne-Elisabeth Laques ,&nbsp;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}","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

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LandScriptDeforestMap: An R package to evaluate deforestation in remote sensing images

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
SoftwareX
SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
5.50
自引率
2.90%
发文量
184
审稿时长
9 weeks
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信