INNOVATIVE SATELLITE IMAGE MAP OF R.ALKHABRTA AREA, SAUDI ARABIA
USING HIGH RESOLUTION IMAGE
Sultan AlSultan#*, H. S. Lim @ , M. Z. MatFafri® K. Abdullah @ and N. Mohd. Saleh @
#Senior advisor to Ministry of Higher Education, Ministry of Higher Education Riyadh 11153, Saudi Arabia,
Ass. Prof, of Remote Sensing at Qassim University Tel:+96663800050 - Mobile: + 966 50 489 0977
ISPRS, Commission 7.7& 6.3, Middle East Coordinator http://www.commission7.isprs.org/wg7/,
http://www.itc.nl/isprsc6/wg3/ Email: computer_305@yahoo.com
@ School of Physics,
Universiti Sains Malaysia,
11800 Penang, Malaysia.
Tel: +604-6577888, Fax: +604-6579150
E-mail: hslim@usm.my, mjafri@usm.my, khirudd@usm.my, nasirun@usm.my
KEYWORDS: Remote Sensing, Environment, Mapping, Land Application
ABSTRACT:
Satellite remote sensing can provide a variety of useful data for various type of research. Satellite image map is one of the products
that aim to promote remote sensing. In this study, a high resolution satellite image was used to create a high resolution satellite
image map over AlKhabra, Saudi Arabia. The objective of this project is to produce a satellite image map by using remote sensing
technique to map the distribution of land use, land desrert characteristics, and related transportation variables through space and over
time. A good quality satellite data have been selected to produce a satellite image map. Processing procedure includes geometric
correction, contrast stretching, filtering and area cutting. The final product of satellite image map will be maps at scales of
1:91,831.00. This study indicated that the useful of high resolution satellite image to produce a high resolution satellite map.
1. INTRODUCTION
A major advantage of remotely sensed satellite images is the
regional/synoptic view of the data. The regional perspective
view is enhanced further by digitally mosaicking different
images collected by the same satellite to cover an even larger
regional area. Another advantage is the multitemporal aspect of
satellite images, which can be used to monitor changes on the
Earth's surface or update an existing data set.
In this project, we are produced a satellite image map by using
high resolution remote sensing data over AlKhabra, Saudi
Arabia. The increasing availability of remote-sensing images,
acquired periodically by satellite sensors on the same
geographical area, makes it extremely interesting to develop the
monitoring systems capable of automatically producing and
regularly updating land-cover maps of the considered site
(Bruzzone, et al., 2002). Presently, satellite image map offers
valuable information for many applications, such as agricultural
applications, tourism management and planning, traffic network
planning, industry management etc.
The main objective of this study is to evaluate the accuracy of
each classification technique to classify the high spatial
resolution digital satellite images. Three supervised
classification methods were used in this study Maximum
Likelihood, Minimum Distance-to-Mean, Parallelepiped and
Parallelepiped with Maximum Likelihood Classifier
Tiebreaker). Supervised classification of multispectral remote
sensing imagery is commonly used for land cover determination
(Duda and Canty. 2002). Parallelepiped with Maximum
Likelihood Classifier Tiebreaker classifier was found to
produce the best accuracy in this study.
2. STUDY AREA
The study area in the Arabian Peninsula, located between 12 °N
and 32 °N latitude and between 20 °E and 35 °E longitude. This
particular geographical position gives the area great bioclimatic
diversity. Saudi Arabia physical geography can be divided into
five geographic regions: (i) the Western Highlands, (ii) the
Central Plateau, (iii) the Northern Deserts, (vi) the Rub al Khali
desert, and (v) the Eastern Lowlands. The selected study area is
centered on City of Alkhabra, Saudi Arabia. Figure 1 shows the
study area of the City of Alkhabra and its surrounding desert
terrain.
Corresponding author. Dr. Sultan AlSultan, Senior advisor to Ministry of Higher Education, Ministry of Higher Education Riyadh 11153,
Saudi Arabia, Assoc. Prof, of remote Sensing at Qassim University, Tel:+96663800050 - Mobile: + 966 50 489 0977, ISPRS, Commission 7.7& 6.3,
Middle East Coordinator, http://www.commission7.isprs.org/wg7/, http://www.itc.nl/isprsc6/wg3/, Email: computer_305@yahoo.com.