International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004
3.1.1 Digital Elevation Modal (DEM): This source data
spends disk space about 8.7G in GRID format of ARC/INFO.
And its resolution is 25 meters. Its reference frame is 1980 Sian
coordinate. Its map projection is Gauss-Kruger system
dividing the globe into sixty zones.
3.1.2 Digital Orthophoto Map (DOM): This source data made
from the fifth band, the fourth band and the third band of ETM
in 1999 —2000 spends disk space about 5.69G in Raw format
with .ifo information file. And its resolution is 30 meters. Its
reference frame is 1954 Peking coordinate. Its map projection is
Gauss-Kruger system dividing the globe into sixty zones.
3.1.3 Digital Raster Graphic (DRG): This source data made
from relief map of china spends disk space about 3.15G in
JPEG format with .ifo information file. And its resolution is 10
meters. Its reference frame is 1954 Peking coordinate. Its map
projection is Gauss-Kruger system dividing the globe into
sixty zones.
3.1.4 Digital Line Graphic (DLG): This source data spend
disk space about 120.6M in Coverage format of ARC/INFO. Its
reference frame is 1954 Peking coordinate.
The data source is different. In order to load the data into spatial
database the data processing is needed. The detail of the process
is show as Figure 1.
DEM DOM DRG DLG
Data Check Format Format Data
Conversion Conversion Append
Data Data
Edition Edition
Data
Check
|
i
Coordinate
Translation
Geodatabase
Figure 1. Spatial Data Preparing
Because the four kinds of data are standard products of survey,
we mainly process data to make them have a uniform coordinate
and their own format which can be accessed by Arc/Info.
372
3.2 Spatial Database Design Using Geodatabase Model
In Geodatabase, the object-oriented data model, the DEM,
DOM and DRG spatial data are described as raster datasets. The
DLG spatial data are described as feature dataset. It consists of
feature classes, such as regionalism feature class, residential
area feature class, water system feature class etc. The detail of
the Design is show as Figure 2.
Geodatabase
RasterDataset FeatrueDataset (DLG)
DEM Regionalism
Residential Area
RasterDataset
Water System
DOM
Physiognomy
RasterDataset Veale
DRG Place Name
Figure 2. Spatial Database Design Using Geodatabase Model
3.3 Oracle Database Design!“
3.3.1 Oracle Database Logical Design: The Standard Optimal
Flexible Architecture can make logical objects distribute more
efficiently in oracle database. It classes the logical object by the
type and operation mode. This logical design makes the
database administration and management of database growth
Easier. And it can decrease Disk contention and safeguard
against disk failures. Optimal Flexible Architecture defines the
logical object category as SYSTEM Tablespace, DATA
Tablespace, INDX Tablespace, TOOLS Tablespace, USERS
Tablespace, TEMP Tablespace and RBS Tablespace.
Except the DATA Tablespace and USERS Tablespace we use
the other tablespaces in our spatial database logical design,
moreover, we add some other tablespaces.
€ ArcSDE Tablespace stores the information of ArcSDE
data dictionary.
€ — RASTERDERIVE Tablespace stores the Business Table,
Raster Band Table and Raster Band Auxiliary Table of raster
datasets which need few disk space.
€ DEM Tablespace stores Raster Block Table of DEM raster
dataset which need a large disk space.
€ DOM Tablespace stores Raster Block Table of DOM
raster dataset which need a large disk space.
€ DRG Tablespace stores Raster Block Table of DRG raster
dataset which need a large disk space.
€ DLGF Tablespace stores Feature Table of DLG feature
dataset.
® DLGS Tablespace stores Business Table and Spatial Table
of DLG feature dataset.
€ METADATA tablespace stores the metadata of the spatial
database.
[nternc
332:
physic:
equipn
tell th
databa
proces
perfor
enviro:
In thi:
physic
Disk
4.1 T:
Once
opera
new d
menti
In thi:
type.
data |
Table
data t
that t
more
use th
4.1.17
4.1.1.
Busin
Band
