基于空间数据模型的森林变化现象模式创建

K. Manjula, S. Jyothi
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引用次数: 0

摘要

地理数据由位置和范围或程度组成,它们不受统一建模语言(UML)等标准化建模语言的支持。在这里,开发广泛的标准数据模型提出了一个有趣的挑战,因为复杂性变得很高,生成的数据库模式变得不可用。在本文中,试图解决基于某些标准格式的良好文档和组织数据的需求。随着UML成为学术界和工业界广泛使用的案例工具,现在它成为由开放管理组织(OMG)和国际标准化组织(ISO)定义的标准建模语言。UML涵盖了简单的概念,并且非常容易理解和使用。但在地理数据建模过程中,必须考虑对象之间的关联、约束条件的定义、数据概念之间的泛化及其质量因素。因此,为了解决这一问题,本文提出了基于UML的数据模型作为解决方案,并对其进行了扩展,以适应来自遥感图像的空间数据。该解决方案通过使用原型类来以直接的方式表示空间数据,包括对几何图形以及属性、对象、类和它们之间的关联关系的定义的支持。本文针对道路、森林、水体、建筑、耕地、矿山、荒地等特征,建立了基于UML概要文件的模型,生成了可扩展标记语言(XML)代码,并存储在XML元数据交换(XML Metadata Interchange, XML)中。然后在ArcGIS的支持下,将该代码转换为模式,最后在模式中填充用于利用GIS和遥感研究森林砍伐因子的数据。模型到数据库的最终结果是物理实现的,这里也给出了一些表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial datamodel based schema creation for the forest change phenomenon
Geographic data consist of location and extent or degree, which are not hold up by a standardized modeling language like Unified Modeling Language (UML). Here, development of broad standard data models presents an interesting challenge since the level of complexity becomes high, and the resultant database schema becomes unusable. In this paper, an attempt is made to address the need of well documented and organized data based on certain standard formats. As UML became extensively used Case Tool both for academic and industry needs, now it became a standard modeling language defined by Open Management Group (OMG) and International Organization for Standardization (ISO). UML covers simple concepts and is very perceptive and easy to use. But association between object, definition of constraints, generalization among data concepts and its quality factors are important to be considered while modeling geographic data. So, to address this issue, this paper proposes UML based data model as a solution, extended to accommodate the spatial data which are derived from the remote sensing images. The solution implemented through the use of stereotyped classes to represent spatial data in a straightforward manner including support for geometries as well as the definitions of attributes, objects, classes and association relations among them. In this paper, UML profile based models are created for various features like Road, Forest, Waterbody, Builtup, Cultivation, Mining and Wasteland and the Extensible Markup Language (XML) code is generated which are stored in XML Metadata Interchange (XMI). Then using ArcGIS support, this code is converted into schemas and finally the schema is populated with data that is used in the study of deforestation factors using GIS and Remote Sensing. The final outcome of the model to database is physically implemented and few tables are also presented here.
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