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  • 标题:GEODATA INTELLIGENCE FOR INTEROPERABLE DATA MANAGEMENT WITH THE ENVVISIO METHOD – ENVVISIO-GI
  • 本地全文:下载
  • 作者:P. Poßner ; J. Großmann ; H. Rudolf
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2021
  • 卷号:VIII-4-W2-2021
  • 页码:29-35
  • DOI:10.5194/isprs-annals-VIII-4-W2-2021-29-2021
  • 语种:English
  • 出版社:Copernicus Publications
  • 摘要:The objective of the envVisio method is to create generic tools and a flexible data backbone for the preparation, storage, linking and provision of complex and multi-thematic municipal geodata. Although geographic base data of the federal states in Germany are represented and processed in standardized and established data models and systems, there is also a large number of additional geodata such as environmental data and mobility data that are not managed in a uniform manner. Specifically, the envVisio method is about the further development of the model approaches for geospatial and environmental data provision. It is a new type of modeling method that has already been tested in individual state environmental authorities for interdisciplinary cooperation between the specialist departments. The development of technical solutions is intended to reduce the effort required to provide municipal geospatial data and to promote higher usability of public data. The aim of this article is to present the methods and the use cases to be implemented.
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