首页> 外文会议>International Society for Photogrammetry and Remote Sensing Hannover Workshop >DIGITAL LANDSCAPE MODEL DLM-DE - DERIVING LAND COVER INFORMATION BY INTEGRATION OF TOPOGRAPHIC REFERENCE DATA WITH REMOTE SENSING DATA
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DIGITAL LANDSCAPE MODEL DLM-DE - DERIVING LAND COVER INFORMATION BY INTEGRATION OF TOPOGRAPHIC REFERENCE DATA WITH REMOTE SENSING DATA

机译:数字景观模型DLM-DE - 通过与遥感数据的地形参考数据集成的地形参考数据

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Within the surrounding frameworks of the programme Global Monitoring for Environment and Security (GMES) (EEA, 2006) and the Directive for the Infrastructure for Spatial Information in the European Community (INSPIRE) (EU, 2007) he Digital Landscape Model for Federal Purpose (DLM-DE) can be seen as a German contribution on the way to interoperability between national and pan-European geoinformation data sets. This paper describes the concept of the "DLM-DE", which was developed by the German Federal Agency for Cartography and Geodesy (Bundesamt fur Kartographie und Geodasie - BKG) in corporation with the Federal Environmental Agency (Umweltbundesamt - UBA), and its implementation plan. It also aims at pointing out the potential benefits and constraints of the deriving of CORINE Land Cover (CLC) data from the DLM-DE as an enhanced alternative to the conventional method proposed by the European Environmental Agency (EEA). The concept of the DLM-DE embodies the integration of topographic reference data (in-situ data) with thematic remote sensing data. Thereby the ATKIS Basis-DLM functions as the basic working data set. Referring to a certain reference year (2009) it shall be updated and verified by adding land cover information through semi-automated analysis and interpretation of mid- to high resoluted satellite imagery. In preparation of deriving the CLC-data the ATKIS feature type catalogue (FC) is compared with the CLC-nomenclature by forming a semantic transformation table and - if necessary - modified due to missing CLC-classes. After a preliminary CLC-coding of all DLM-DE features according to the semantic transformation look-up table they are updated or verified through remote sensing methods. The result will be a high resoluted spatial data set, which is capable to map the land cover information of Germany referring to European nomenclature with so far unequalled accuracy.
机译:在环境和安全(GMES)(EEA,2006)的计划全球监测的周边框架内,以及欧洲共同体(INSIVERIVE)(EU,2007)的空间信息基础设施的基础设施指令(EU,2007)联邦目的的数字景观模型( DLM-DE)可以视为德国对国家和泛欧洲地理信息数据集之间互操作性的贡献。本文介绍了“DLM-DE”的概念,该概念由德国联邦机构制造的制图和大地(Bundesamt Fur Kartographie Und Geodasie-BKG)在与联邦环境局(Umweltbundesamt - UBA)的公司中,及其实施计划。它还旨在指出,从DLM-DE从DLM-DE获得的潜在效益和限制,作为欧洲环境署(EEA)提出的传统方法的增强替代品。 DLM-DE的概念体现了与主题遥感数据的地形参考数据(原位数据)的集成。从而ATKIS基础DLM用作基本工作数据集。参考一定的参考年份(2009),通过半自动分析和解释中,通过半自动分析和解释来更新和验证它,并对高度被解除卫星图像进行解释。在准备导出的CLC数据中,通过形成语义转换表与CLC命名组进行了ATKIS特征类型目录(FC),并且 - 如果需要 - 由于缺少CLC类而修改。在初步CLC编码所有DLM-DE特征后,根据语义转换查找表,通过遥感方法更新或验证。结果将是一个高度被解答的空间数据集,该数据集能够通过迄今的无与伦比的欧洲命名来映射德国的土地覆盖信息。

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