Full text: Proceedings, XXth congress (Part 7)

  
THE ASSESSMENT OF HIGH RESOLUTION SATELLITE IMAGES AND 
APPLICATIONS IN REGIONAL AND LOCAL PLANNING 
F. Kartal*, T. Eksioglu* , K. Eren*, A. Aal? 
* Geo Tech Group, Ankara- Turkey, Riyadh- S. Arabia (gtc@ags-group.com 
? Saudi Telecom Company, Riyadh- S. Arabia 
KEY WORDS: High Resolution Satellite Images, Orthorectification, Geodatabase, Vectorisation, Planning 
ABSTRACT: 
The establishment of database constitutes the most significant component of any GIS attempt. Saudi Arabia is a dynamic country 
with rapid structural changes in urban and rural areas whose areas amount to about 100,000 km2 and 2,100,000 km2 respectively. 
There are, however, very few topographic maps available to reflect these rapid changes. With the consideration of the time and cost 
of any terrestrial or photogrammetric project, it is wise to utilize mapping from space using high-resolution satellite images with 
resolution ranging from 15 m to 0.5 m. 
For the establishment of the national geo database for telecommunication and planning purposes, LANDSAT-7 images and 
IKONOS / QuickBird images were acquired for rural and urban areas of S. Arabia. These images were rectified using proper DEMs 
and GCPs to an accuracy of about one pixel. 
Landuse was derived from LANDSAT images and used for the rectification and geo-registration of structural plans of the entire 
country. IKONOS / QuickBird images amounting to 100,000 km2 were rectified using about 5 m precision DEMs (10 m grid 
spacing) and dm-precision GCPs taken at about 5 km spacing. For processing, we have used Russian Orthospace, Erdas Imagine, 
PCI and Hanover package. We have achieved an accuracy level of about 0.75 — 1.5 m, probably one of the best results obtained in 
commercial applications. 
The results of the computations and the applications for telecommunication and planning studies are discussed in this paper. These 
images have constituted the foundation of geo-information for telecommunications and planning, including the establishment of a 
national Planning Information System (PIS) for the entire country. All the structural, local and subdivision plans have been 
integrated and registered with respect to these images. 
1. INTRODUCTION 1/10,000 to 1/5,000), ie. to produce 
orthophoto maps 
The establishment of graphical and non-graphical database 
constitutes the most significant component of any spatial Since 2001, Saudi Telecom and Ministry of Municipal and 
information system attempt, as much as 90-95% of the total Rural Affairs have launched several projects for the 
investment. Fortunately, there are modern techniques, such as establishment of mapping database using HRS images. These 
space mapping, offering quick and economical solutions. projects covers: 
This paper addresses applications of these techniques in the - compilation of orthorectified HRS images (0.6 — 1.0 m) 
establishment of geoinformation database in Saudi Arabia. for an area of about 100,000 km” 
- compilation of orthorectified medium resolution satellite 
Saudi Arabia is a dynamic country with rapid structural images (10 — 15 m) for the entire country, Le. 
changes in urban and rural areas. There are, however, very 2.000,000 km? 
few basemaps or high-resolution images available to reflect 
these rapid changes. Besides, local survey, mapping and Subsequent sections present technical information about HRS 
subdivision activities lack any acceptable standard and images, geoinformation database cstablished using HRS 
format. They are, therefore, far from representing a great part images and results. 
of urban, even rural areas. 
Owing to the reasons above and with the consideration of the 
time and cost of any conventional techniques, it is wise to 
utilize space technology to establish geo-referenced digital 
graphical (mainly orthophoto maps) database. Since 
applications like telecommunications and urban planning go 
down to the level of individual  structure/parcel 
corresponding to a map scale of 1/10,000 to 1/5,000, the 
minimum requirement expected from urban imagery is: 
a) aresolution 1-m or better 
b) ortho-rectification to have map precision (e.g.: 
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