Hitoshi Taguchi, Hinako Suzuki, H. Sano, Y. Usuda, Yayoi Hotta
{"title":"Digital archive of geomorphological land classification maps of flood-stricken areas","authors":"Hitoshi Taguchi, Hinako Suzuki, H. Sano, Y. Usuda, Yayoi Hotta","doi":"10.5638/thagis.26.27","DOIUrl":null,"url":null,"abstract":"Geomorphological Land Classification Maps of Flood-stricken Areas (GLCM) are thematic maps that estimate flood conditions by reading geomorphic elements. Due to their being paper maps that are not published, it is difficult to get hold and utilize GLCM, although they are very useful in order to know and understand flood-disaster risks in local areas. In light of this, we established an online digital GLCM archive. The characteristics of the archive are: 1) GIS data release, and 2) arranged usage rules for re-use. First, we created raster GIS data from paper maps. Second, we obtained permission for re-use from publishers and the Geospatial Information Authority of Japan (GSI). Third, we arranged usage rules for re-use based upon ID. Fourth, we prepared map image APIs (Application Programming Interface), such as Web Map Service (WMS), XYZ tile and Tile Map Service (TMS). Fifth and finally, we opened the digital archive in March 2016.","PeriodicalId":177070,"journal":{"name":"Theory and Applications of GIS","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theory and Applications of GIS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5638/thagis.26.27","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
Geomorphological Land Classification Maps of Flood-stricken Areas (GLCM) are thematic maps that estimate flood conditions by reading geomorphic elements. Due to their being paper maps that are not published, it is difficult to get hold and utilize GLCM, although they are very useful in order to know and understand flood-disaster risks in local areas. In light of this, we established an online digital GLCM archive. The characteristics of the archive are: 1) GIS data release, and 2) arranged usage rules for re-use. First, we created raster GIS data from paper maps. Second, we obtained permission for re-use from publishers and the Geospatial Information Authority of Japan (GSI). Third, we arranged usage rules for re-use based upon ID. Fourth, we prepared map image APIs (Application Programming Interface), such as Web Map Service (WMS), XYZ tile and Tile Map Service (TMS). Fifth and finally, we opened the digital archive in March 2016.
洪水灾区地貌分类图(GLCM)是通过读取地貌要素来估计洪水状况的专题地图。由于它们是没有出版的纸质地图,因此很难获得和利用GLCM,尽管它们对于了解和了解当地的洪水灾害风险非常有用。鉴于此,我们建立了一个在线数字GLCM档案。该档案的特点是:1)GIS数据发布;2)有条理的使用规则,便于重复使用。首先,我们从纸质地图中创建栅格GIS数据。其次,我们获得了出版商和日本地理空间信息管理局(GSI)的重用许可。第三,我们安排了基于ID的重用使用规则。第四,我们准备了地图图像api(应用程序编程接口),如Web map Service (WMS)、XYZ tile和tile map Service (TMS)。第五,也是最后一点,我们在2016年3月开放了数字档案。