INTRODUCTION OF SYSTEM FOR SATELLITE IMAGERY INFORMATION
MANAGEMENT
G. J. Chae*, G. W. Yoon, J. H. Park
ETRI Telematics Research Group, Daejeon, Korea – (cbase,gwyoon, jhp)@etri.re.kr
KEY WORDS: Databases, Archiving, Management, Hardware, Image, Imagery
ABSTRACT:
The high prices and lack of information for satellite images prevent researchers from studying remote sensing and most non-
professional people doesn’t have the simple and easy solutions for the manipulation of satellite images. “Satellite Imagery
Information Management” system which is promoted by ETRI (Electronics and Telecommunications Research Institute) in Korea
will provide the solutions for the above mentioned problems. Our system manages the satellite imagery information and provides the
simple and easy software for the manipulation of satellite imagery information. We means the satellite imagery information as
satellite images (Landsat, SPOT, JERS, Corona etc) and products(DEM, GCP, land cover map etc) using satellite images and other
primitive sources in remote sensing. “Satellite Imagery Information Management” system consists of hardware and software system.
Our hardware system consists of servers (web services and data processing), RAID (online data management) and Jukebox (nearline
and offline data management). Software consists of four components: DRS (Data Registration Software), DMS (Data Management
Software), DTS (Data Transfer Software), WS (Web Service). For the efficient service, we make the relation between four
components and design the corresponding software. DRS has the following functions: analysis of head for satellite images and
management data for products, generation of browser images and thumbnail images for raster data. DMS has the following
functions: editing for metadata of satellite imagery information, control of RAID and Jukebox, backup for database and system. DTS
has the following functions: online and offline transfer and media control. WS has the following functions: online color composition
for Landsat images, online image treatment (zoom in and zoom out, image enhancement etc), order management etc. For the user’s
service, we will suggest the customized software service (e.g., geotiff image converter of Landsat image for each band) which users
want to have for each work. This model of system for “Satellite Imagery Information Management” can be applied to the systems
which handle large amount of data without converting the original data and promote the study of remote sensing about satellite
images.
1. INTRODUCTION Telecommunication Research Institute) in Korea will provide
the solutions for the above mentioned problems. For the data
Since satellite image has properties of high resolution and construction, we will show the processing of standard for
multispectral, it is originally used in the military and satellite imagery metadata in international domain and domestic
environmental field. But it is used more and more in the field of domain. For the data management, we will introduce the
map production, agriculture, forestry, planning of national land, hardware system for online, nearline and offline management
establishment of city plan, etc lately. Possibility of periodic data system of data. Finally, you will experience the web service and
acquisition of satellite image and diverse satellite images off line service for data distribution.
between hyperspectral and high resolution satellite image makes
the satellite images the important resource for the record of
national land. So, it is necessary to preserve the satellite images 2. TRENDS OF INTEGRATED MANAGEMENT OF
which contain the change of geographic information, national SATELLITE IMAGERY INFORMATION
land, and environment for the form of digital library or museum.
Though many government organizations, self-governing
USGS (U.S. Geological Survey) has three Clearing houses
body and public research institution make use of satellite image
for the distribution of data: EROS (Earth Resources
and do its own project under the base of satellite image now in
Observation Systems) Data Center Clearinghouse Gateway,
Korea, insufficient cooperation and co-work result in the
Alaska Geospatial Data Clearinghouse Gateway, and GLIS
overlapping purchases of satellite image widely. In addition,
(Global Land Information System) Clearing Gateway. FGDS
processing of satellite image is done using foreign software
(Federal Geographic Data Committee) provides the metadata
because of non-systematic management of the developed
and distribution standard for the USGS.
technology and these facts result in the mass budget waste for
The RESTEC (Remote Sensing Technology Center) in
each year. For the solution of these problems, it is necessary to
Japan has the role to perform data collection using ground
establish the service which gives and manages the information
station reception and processing and to perform analysis and
of satellite image systematically and distribute information to
research using the observed data. NASDA (National Space
the institute which need freely.
Development Agency of Japan) (which was merged to JAXA
“Integrated Management of Satellite Imagery Information”
(Japan Aerospace Exploration Agency) in 2003) provides the
project which is being promoted by ETRI (Electronics and
* Corresponding author. This is useful to know for communication with the appropriate person in cases with more than one author.
satellite image data and EORC (Earth Observation Research 3. SATELLITE IMAGERY METADATA
Center) provides the application software for the satellite image.
3.1 State of standard for satellite imagery metadata
ISO/TC 211 Geographic information/Geomatics is
USGS
responsible for the ISO geographic information series of
standards. For the metadata about geographic information
FGDC
metadata, ISO 19115 defines the schema required for describing
National Mapping Division
NASA
geographic information including satellite images and services.
It provides information about the identification, the extent, the
NMP quality, the spatial and temporal schema, spatial reference, and
business
Clearinghouse -NAPP Clearinghouse
distribution of digital geographic data.
(GLIS) -NDOP
-LCCP
(Alaska) ISO 19115 defines mandatory and conditional metadata
sections, metadata entities, and metadata elements and optional
Clearinghouse metadata elements to allow for a more extensive standard
(EROS Data Center)
description of geographic data, if required. It also provides a
method for extending metadata to fit specialized needs. Figure 3
shows the UML of the ISO 19115.
Figure 1 USA Satellite Imagery Information Service
organization
NASDA
RESTEC
EOC
Satellite EORC
Image
Information
Data
Clearing house Clearing house
Figure 3 UML of ISO 19115
To complement standard to ISO 19115 Geographic
information – Metadata, “ISO 19115 Part2” define metadata
elements to support imagery, and gridded data and extend the
UML model for metadata: it support the collection and
Figure 2 Japan Satellite Imagery Information Service processing of natural and synthetic imagery produced by remote
Organization sensing and other imaging processes.
In US, The Federal Geographic Data Committee approved the
For the foreign cases, we can note that the information of Content Standard for Digital Geospatial Metadata (FGDC-STD-
satellite image is systematically managed by the government. 001-1998) in June 1998. In Korea, TTA (Telecommunications
For the domestic case, integrated management of satellite Technology Association) approved the Metadata Standard for
image information service is not constructed, but some institutes Geographic Information Distribution (TTAS.KO-10.0139) in
have their own search and distribution service and another December 2002. Since this standard add necessary items for
institute distributes their own data for the institutes which needs distribution of geographic information to ISO 19115 which has
them. target for metadata of vector data, it is necessary to add some
From these facts, the overall information of satellite image items for satellite imagery information.
should be constructed for the efficient use of information of
satellite image in KOREA. Though we cannot manage overall
satellite images in Korea, this project will be the basis of the
upcoming integrated management of satellite image information
of Korea.
ISO 19115 Part 2
Core
ISO TTA Metadata
19115
Figure 4 Metadata schema
Receiving Customers
Station (Public,
W
Government)
WW
Web-based
, FTP, CD,DVD
Transm
Interaction
Receiving Server
Metadata and Web Service
CD,DVD
ission
W
Browse imagery Management Server
W
FTP
Ordering
W
Data Registration Data Management Data Transmission
Server (DRS) Server (DMS) Server (DTS)
Imagery products
Satellite Imagery Storage Hardware
Metadata & Browse imagery
Management Center
Figure 5 Model of Services
4.1 Data Registration System
3.2 Metadata schema for our service
For registering the satellite imagery information, we have
We analyzed the above international and domestic standard the following two strategies. We made the metadata of satellite
for metadata to design metadata of our satellite imagery imagery information from raw data if we have raw data. If we
information service. From these results, our metadata schema have no raw data, we will make the metadata information about
are based on the ISO 19115(international metadata standard for the place of the raw data. For these purposes, the import things
geographic information) and ISO 19115 part 2(extension of ISO to consider is extract the common metadata for diverse satellite
19115 for grid metadata) and we try to improve the domestic images. We design the DRS for the satellite images such as
standard (Metadata Standard for Geographic Information LANDSAT 2 ~ LANDSAT 7, CORONA, SPOT, JERS,
Distribution (TTAS.KO-10.0139)) for applying the satellite KOMPSAT-1, IKONOS. For the core metadata of ISO 19115,
imagery information. Figure 4 shows the metadata schema for we design the DRS to acquire the metadata almost automatically.
our satellite imagery information Figure 6 shows the picture of DRS.
4. FUNCTIONS OF SERVICE
For the registration and management of data, we made the
DRS (Data Registration Software), DMS (Data Management
Software) and DTS (Data Transfer Software). The role of DRS
is making the browser images and thumbnail images to view the
brief image of large satellite images and extract the metadata
from the diverse satellite images. The role of DMS is managing
the raw data in hierarchical process. The role of DTS is
distributing the raw data to users. Figure 6 shows our model of
system for DRS, DMS and DTS.
Figure 6 Data Registration
users want to have for each work even if they are unfamiliar
4.2 Data Management System with the remote sensing. Figure 9 shows the homepage of our
service (http://simc.etri.re.kr)
For managing the satellite imagery information, we design
the structure of data in hierarchical process. Since the size of
satellite imagery information is large, we register the satellite
image in online. If the amount of online is 70 ~ 80% full, we
move the satellite imagery information to the nearline. If the
amount of nearline is 80% full, we draw the tape offline. The
satellite image which use frequently want to service is on the
online. For the sate of data, we backup the metadata, raw data,
browser images and thumbnail images for periodic times. Figure
7 shows the picture of DMS.
Figure 9 Web Services
5. CONCLUSIONS
Figure 7 Data Management
We are trying to expand the application of remote sensing
4.3 Data Distribution and Web Services in diversity sections and many person use the satellite imagery
information management freely through the system of “Satellite
For distributing the satellite imagery information to users, Imagery Information Management”. Our next step for business
we design the DTS (Data Transfer Software). Since DTS and model is targeting to the distribution and development of user
WS (Web Service) hold the information of users in common, customized software for high resolution satellite images. We
DTS must be connected to the web service. When users search also update the DRS, DMS and DTS applicable to high
the satellite image which they want and order the satellite resolution images.
images, DTS receives the order. If operator accepts the order,
DTS send the request to DMS for the raw data. If the requested
data is on the online, DMS calls DTS to process the order. If the 6. REFERENCES
requested data is on the nearline state, DMS send the data
which is on the nearline to the online. Figure 8 shows the USGS Home page, http://www.usgs.gov
picture of data order.
FGDC Home page, http://www.fgdc.gov
RESTEC Home page, http://www.restec.or.jp
JAXA Home page, http://www.jaxa.jp
NGIC Home page, http://www.ngic.go.kr
ISO/TC 211 Geographic information/Geomatics Home page,
http://www.isotc211.org/
SIMC Home page, http://simc.etri.re.kr
Figure 8 Data Order
For the Web Service, users can experience the educational
contents for remote sensing including the practical exercise on
web. Our service will offer the customized software service (e.g.,
geotiff image converter of Landsat image for each band) which
