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1. An integrated GIS application system for soil moisture data assimilation | |||
WANG Di,SHEN Runping | |||
Surveying and Mapping Technology 16 July 2014 | |||
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Abstract:The gaps in knowledge and existing challenges in precisely describing the land surface process make it critical to represent the massive soil moisture data visually and mine the data for further research.This article introduces a comprehensive soil moisture assimilation data analysis system, which is instructed by tools of C#, IDL, ArcSDE, Visual Studio 2008 and SQL Server 2005. The system provides integrated service, management of efficient graphics visualization and analysis of land surface data assimilation. The system is not only able to improve the efficiency of data assimilation management, but also comprehensively integrate the data processing and analysis tools into GIS development environment. So analyzing the soil moisture assimilation data and accomplishing GIS spatial analysis can be realized in the same system. This system provides basic GIS map functions, massive data process and soil moisture products analysis etc. Besides,it takes full advantage of a spatial data engine called ArcSDE to effeciently manage, retrieve and store all kinds of data. In the system, characteristics of temporal and spatial pattern of soil moiture will be plotted. By analyzing the soil moisture impact factors, it is possible to acquire the correlation coefficients between soil moisture value and its every single impact factor. Daily and monthly comparative analysis of soil moisture products among observations, simulation results and assimilations can be made in this system to display the different trends of these products. Furthermore, soil moisture map production function is realized for business application. | |||
TO cite this article:WANG Di,SHEN Runping. An integrated GIS application system for soil moisture data assimilation[OL].[16 July 2014] http://en.paper.edu.cn/en_releasepaper/content/4603271 |
2. A “Raster -Vector” Integrated Approach | |||
Lina Huang,Bin Zheng,Lifan Fei | |||
Surveying and Mapping Technology 10 March 2008 | |||
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Abstract:Since vector approach can be applied for accurate geo-processing, while raster approach is suitable for spatial analysis, the integration of raster and vector approaches has been studied for years. This paper attempts to advance a combined approach for geographic feature retrieve in a mechanism so called “raster: relation-vector: entity” combined approach. That is, using a “dimension-plus”relational raster, the topological information is examined within a foreseeable raster index time by reducing the need of calculating exact geometry of spatial objects. Such topological information is in turn to vector organization. Hence the complex geometric objects can be reconstructed using vector data within minimal time consumption. This research realizes the recognition and the rebuild of spatial entities described in geometric and semantic information based on vector data. | |||
TO cite this article:Lina Huang,Bin Zheng,Lifan Fei. A “Raster -Vector” Integrated Approach[OL].[10 March 2008] http://en.paper.edu.cn/en_releasepaper/content/19145 |
3. Temporal Uncertainty of Geographical Information | |||
Shu Hong | |||
Surveying and Mapping Technology 21 December 2007 | |||
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Abstract:Temporal uncertainty is a crossing point of temporal and error-aware geographical information systems. In Geoinformatics, temporal uncertainty is of the same importance as spatial and thematic uncertainty of geographical information. However, until very recently, the standard organizations of ISO/TC211 and FGDC subsequently claimed that temporal uncertainty is one of geospatial data quality elements. Over the past decades, temporal uncertainty of geographical information is modeled insufficiently. To lay down a foundation of logically or physically modeling temporal uncertainty, this paper is aimed to clarify the semantics of temporal uncertainty to some extent. The general uncertainty is conceptualized with a taxonomy of uncertainty. Semantically, temporal uncertainty is progressively classified into uncertainty of time coordinates, changes, and dynamics. Uncertainty of multidimensional time (valid time, database time, and conceptual time, etc.) has been emphasized. It is realized that time scale (granularity) transition may lead to temporal uncertainty because of missing transition details. It is dialectically concluded that temporal uncertainty is caused by the complexity of the human-machine-earth system. | |||
TO cite this article:Shu Hong . Temporal Uncertainty of Geographical Information[OL].[21 December 2007] http://en.paper.edu.cn/en_releasepaper/content/17214 |
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