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The use of GIS technology for building and maintaining water resource databases

机译:使用GIS技术建立和维护水资源数据库

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The orderly storage, management and manipulation of water resources data is predicated on several factors including a geodetically consistent reference base as well as a good understanding of the landform data, both above and below ground. Traditionally both topographical and geological maps have provided the reference base, as well as implicit and explicit representations, of the landforem details. Recent advances in GIS technology have facilitated the collection of landform data and have been complemented by powerful new analysis techniques. This paper shows hw information collected from a multispectral airborne sensor can be used to build very accurate raster and vector maps of the landform which can be integrated and correlated with ground water data. The technology known as MEIS (Multi-spectral, Electro-optical, Image Sensor) is based on a pushbroom sensor which collects imagery in both the visible and near infra-red parts of the spectrum, along with stereo components. This information is processes, usin gsupplementary navigation information (including both GPS and INS) to produce ad vry accurate geodetically corrected ortho image of the land form. Subsequent processing, using supervised classification techniques, is used to extract and store land surface feature data. From the stereo channels, a full digital elevation model is costructed to provide full 3D land form data. The resulting information is stored within a spatial database environment. Subsurface data can also be attached to the database using the geodetic frame of reference. The value of the database environment is that it specifically provides a framework for complex modelling and analysis of water resources data. This paper describe both the technology and its use within an operational environment in Canada.
机译:水资源数据的有序存储,管理和操纵取决于几个因素,包括大地上一致的参考基础以及对地上和地下地貌数据的良好理解。传统上,地形图和地质图都提供了陆基详细信息的参考基础以及隐式和显式表示。 GIS技术的最新进展促进了地形数据的收集,并辅以功能强大的新分析技术。本文显示,从多光谱机载传感器收集的硬件信息可用于构建非常准确的地貌栅格和矢量地图,这些地图可以与地下水数据集成并关联起来。称为MEIS(多光谱,电光学,图像传感器)的技术基于推扫帚传感器,该传感器收集光谱的可见和近红外部分中的图像以及立体声分量。该信息是用于处理导航信息的辅助导航信息(包括GPS和INS),用于生成精确的经大地测量校正的地貌正射影像。随后使用监督分类技术进行处理,以提取和存储地表特征数据。通过立体声通道,可以构建完整的数字高程模型以提供完整的3D地形数据。结果信息存储在空间数据库环境中。还可以使用大地测量参考系将地下数据附加到数据库。数据库环境的价值在于,它专门为复杂的水资源数据建模和分析提供了框架。本文介绍了该技术及其在加拿大运营环境中的使用。

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