ISPRS Workshop on Service and Application of Spatial Data Infrastructure, XXXVI (4/W6), Oct. 14-16, Hangzhou, China 
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RESEARCH ON THE CONSTRUCTION OF URBAN SPATIAL DATA 
INFRASTRUCTURE 
Xiao-sheng Liu ab ,*, You-liang Chen 3 , He-xia Weng a 
d School of Environmental and Architectural Engineering Jiangxi University of Science and Technology, 
Ganzhou, China-( lxs9103,simoncheny,whx20030905)@l63.com 
b Civil Engineering Institute ,Tongji university, Shanghai, China-lxs9103@163.com 
KEY WORDS: Urban, Database, Updating, G1S, Framework Data, Integration 
ABSTRACT: 
This paper discusses the construction of urban spatial data infrastructure, taking Ganzhou for example. First we set up a organization 
that manages and harmonizes spatial data, and design the total configuration of the USDI (urban spatial data infrastructure)of 
Ganzhou; Second we constitute the regulations of the producing and updating of spatial data, and probe in the technology of sharing 
data, and we also design the framework of data sharing in the USDI of Ganzhou ,then we build up the framework dataset. Finally we 
discuss the integrating of GIS and OA. 
1. INTRODUCTION 
USDI synthetically using the advanced communication network 
technology, GIS technology, remote sensing technology, 
global-positioning technology and the technology of data base 
management system, integrates, shares and utilizes the space 
data information of every department, trade, field in the city to 
the maximum extent to offer fast, systemic and various kinds of 
succinct data service, and promotes economic construction of 
the city and social development. Comparing with the "national 
spatial data infrastructure "being constructed in our country, the 
urban spatial data infrastructure has its particularity , for 
example ,the resolution ratio is high, abundant in content, the 
amount of information is large, the aging speed of information 
is fast, production and newer cycle are long and costly. The 
efforts of recent years have obtained the remarkable 
achievement in production of the data of urban space of our 
country. Now we take Ganzhou as an example, carry on the 
discussion to the construction of urban spatial data 
infrastructure. 
2. ESTABLISHING THE MECHANISM TO MANAGE 
AND HARMONIZE SPATIAL DATA 
The construction of urban spatial data infrastructure involves a 
wide range of departments, but most cities often entrust the 
urban planning or the construction department to be responsible 
for while building of the system and the corresponding 
powerful organizational leadership structure has not been 
established. Although the leading group, a kind of loose 
organization has been established in some cities, the influence 
on system construction is not very big, causing the system is 
unable to spread out construction or use in the large range, thus 
influencing systematic using value. Aiming at this situation we 
establish a space datum to coordinate the management 
organization in Ganzhou, It specially undertakes the spatial data 
infrastructure construction task in Ganzhou. This organization is 
a production unit of the foundation geographical information 
data of Ganzhou, and it is an authoritative service centre that is 
charge of upgrading, storing, dealing with and assigning the 
basic space data, and it is one of the components of the national 
spatial data infrastructure. 
This organization, according to the need of producing, 
managing and servicing spatial data in Ganzhou, has designed 
the ensemble architecture of Ganzhou, as Fig. 1 shows. 
Figure 1. Overall structure chart of the USDI of Ganzhou 
3. MAKING THE RULES OF URBAN BASIC 
SPATIAL DATA 
Urban space basic data include mainly: the digital line vector 
graphic (DLG ); the digital orthograph model (DOM ); the 
digital elevation model (DEM ); The digital raster graphic 
(DRG ); the corresponding attribute data of various kinds of 
data, including attributive character information, social 
economic information, every department special use 
information etc. Each kind of data involves the data form of 
different scales. 
In order to make the space data has effectiveness for a given 
period of time, authoritativeness and sharing, we have made the