{"title":"Documenting flooding areas calculation: a PROV approach","authors":"M. D. Martino, A. Quarati, S. Rosim, L. Namikawa","doi":"10.1504/IJMSO.2021.117106","DOIUrl":null,"url":null,"abstract":"Flooding events related to waste-lake dam ruptures are one of the most threatening natural disasters in Brazil. They must be managed in advance by public institutions through the use of adequate hydrographic and environmental information. Although the Open Data paradigm offers an opportunity to share hydrographic data sets, their actual reuse is still low because of metadata quality. Our previous work highlighted a lack of detailed provenance information. The paper presents an Open Data approach to improve the release of hydrographic data sets. We discuss a methodology, based on W3C recommendations, for documenting the provenance of hydrographic data sets, considering the workflow activities related to the study of flood areas caused by the waste-lakes breakdowns. We provide an illustrative example that documents, through W3C PROV metadata model, the generation of flooding area maps by integrating land use classification, from Sentinel images, with hydrographic data sets produced by the Brazilian National Institute for Space Research.","PeriodicalId":111629,"journal":{"name":"Int. J. Metadata Semant. Ontologies","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Metadata Semant. Ontologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMSO.2021.117106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Flooding events related to waste-lake dam ruptures are one of the most threatening natural disasters in Brazil. They must be managed in advance by public institutions through the use of adequate hydrographic and environmental information. Although the Open Data paradigm offers an opportunity to share hydrographic data sets, their actual reuse is still low because of metadata quality. Our previous work highlighted a lack of detailed provenance information. The paper presents an Open Data approach to improve the release of hydrographic data sets. We discuss a methodology, based on W3C recommendations, for documenting the provenance of hydrographic data sets, considering the workflow activities related to the study of flood areas caused by the waste-lakes breakdowns. We provide an illustrative example that documents, through W3C PROV metadata model, the generation of flooding area maps by integrating land use classification, from Sentinel images, with hydrographic data sets produced by the Brazilian National Institute for Space Research.
污水湖溃坝引发的洪涝灾害是巴西最具威胁性的自然灾害之一。它们必须由公共机构事先利用充分的水文和环境资料加以管理。尽管开放数据范式提供了共享水文数据集的机会,但由于元数据质量的原因,它们的实际重用仍然很低。我们之前的工作强调缺乏详细的来源信息。本文提出了一种开放数据方法来改善水文数据集的发布。我们讨论了一种基于W3C建议的方法,用于记录水文数据集的来源,考虑到与研究由废物湖崩溃引起的洪水区相关的工作流程活动。我们提供了一个说明性的例子,通过W3C PROV元数据模型,将Sentinel图像中的土地利用分类与巴西国家空间研究所(Brazilian National Institute for Space Research)生成的水文数据集相结合,生成洪水区域地图。