Ismail Elkhrachy | Najran University (original) (raw)

Papers by Ismail Elkhrachy

Determination of land use changing is an important component of regional planning for applicatio... more Determination of land use changing is an important component of regional planning for applications ranging from urban fringe change detection to monitoring change detection of land use. These data are very useful for natural resources management. On the other hand, the technologies and methods of change detection also have evolved dramatically during the past 20 years. So it has been well recognized that the change detection had become the best method for researching dynamic change of land use by multi-temporal remotely-sensed data. The objective of this paper is to assess, evaluate and monitor land use change surrounding the area of Najran city, Kingdom of Saudi Arabia (KSA) using Landsat images (June 23, 2009) and ETM+ image (June. 21, 2014). The post classification change detection technique was applied. At last, two-time subset images of Najran city are compared on a pixel-by-pixel basis using the post classification comparison method and the from-to change matrix is produced, the land use change information obtained. Three classes were obtained, urban, bare land and agricultural land from unsupervised classification method by using Erdas Imagine and ArcGIS software. Accuracy assessment of classification has been performed before calculating change detection for study area. The obtained accuracy was found between 61% to 87% percent for all the classes. Change detection analysis showed that rapid growth in urban area has been increased by 73.2%, agricultural area has been decreased by 10.5 % and barren area reduced by 7% between 2009 and 2014. The quantitative study indicated that the area of urban class has unchanged by 58.2 〖km〗^2, gained 70.3 〖km〗^2and lost 16 〖km〗^2. For bare land class 586.4〖km〗^2 has unchanged, 53.2〖km〗^2 has gained and 101.5〖km〗^2 has lost. While agriculture area class, 20.2〖km〗^2 has unchanged, 31.2〖km〗^2 has gained and 37.2〖km〗^2 has lost.

Abstract Terrestrial Laser Scanner (TLS) is an important device to provide three dimensional geom... more Abstract Terrestrial Laser Scanner (TLS) is an important device to provide three dimensional geometric information with respect to known reference coordinate system. The data from TLS often called point cloud due to their high density. It is unstructured and do not have any explicit information about the object except 3D positional and intensity information to each point. Data segmentation and feature extraction are fundamental problem in point cloud processing step. These are important prerequisite for object recognition and environment understanding. This paper describes a methodology to use the geometrical information for scanning object such as normal vector to extract and segment object edges. Edge based segmentation technique will be studied and improved. The proposed method is programmed and used to extract different region boundaries for two real TLS data and the quality of the results shows the effectiveness of the proposed algorithm.

Very high resolution satellite images, such as World view2, are important for produce new maps or... more Very high resolution satellite images, such as World view2, are important for produce new maps or update existing ones. Maps are useful for planning and navigation purposes in any country. Main aim of this work is the assessment of a methodology to achieve the best possible geometric accuracy in rectified imagery products obtained from World view2. The research includes, studying the effect of the number of Ground Control Points (GCPs) with various 2D polynomial rectification models on the accuracy geometric correction step. The resulting RMSE on the check points (CPs) will be evaluated. Results showed that using a second order polynomial for world view 2 image rectification with 33 well distributed GCPs resulted in a total RMSE 0.96 m for a number of 13 CPs which is less than the value of two pixel size of the used satellite image. Also, by using from 20 GCPs till 33, the accuracy of geometric correction for all polynomial orders has a small variation.

Satellit images, Remote Sensing (RS) and Geographic Information System (GIS) are perfect tools fo... more Satellit images, Remote Sensing (RS) and Geographic Information System (GIS) are perfect tools for geo-inviromental applications in science and engineering. While the egyption ministry of electricity is planning to establish a new electrical station at Nuweiba city in Egypt, to cover the increasing demand on electricity in this area. In this paper an integrated approach using satellite data and GIS techniques in conjunction with ARC / GIS program is used to study some issues related to the environment surrounding the project and get its impact. land use map with scale 1:100,000 for the main geo-environmental features and landforms of study area is produced by using ArcMap program. The produced map taks consideration of land use changes within 1984, 2000 and 2007. Nuweiba city, the Gulf of Aqaba has the potentials to be developed and need to support such developments by establishing the essential services projects such as the proposed electrical power station. Remote Sensing and GIS are the best tools of acquiring and analysis the basic information particularly on the environmental applications.

Determination of land use changing is an important component of regional planning for applicatio... more Determination of land use changing is an important component of regional planning for applications ranging from urban fringe change detection to monitoring change detection of land use. These data are very useful for natural resources management. On the other hand, the technologies and methods of change detection also have evolved dramatically during the past 20 years. So it has been well recognized that the change detection had become the best method for researching dynamic change of land use by multi-temporal remotely-sensed data. The objective of this paper is to assess, evaluate and monitor land use change surrounding the area of Najran city, Kingdom of Saudi Arabia (KSA) using Landsat images (June 23, 2009) and ETM+ image (June. 21, 2014). The post classification change detection technique was applied. At last, two-time subset images of Najran city are compared on a pixel-by-pixel basis using the post classification comparison method and the from-to change matrix is produced, the land use change information obtained. Three classes were obtained, urban, bare land and agricultural land from unsupervised classification method by using Erdas Imagine and ArcGIS software. Accuracy assessment of classification has been performed before calculating change detection for study area. The obtained accuracy was found between 61% to 87% percent for all the classes. Change detection analysis showed that rapid growth in urban area has been increased by 73.2%, agricultural area has been decreased by 10.5 % and barren area reduced by 7% between 2009 and 2014. The quantitative study indicated that the area of urban class has unchanged by 58.2 〖km〗^2, gained 70.3 〖km〗^2and lost 16 〖km〗^2. For bare land class 586.4〖km〗^2 has unchanged, 53.2〖km〗^2 has gained and 101.5〖km〗^2 has lost. While agriculture area class, 20.2〖km〗^2 has unchanged, 31.2〖km〗^2 has gained and 37.2〖km〗^2 has lost.

Abstract Terrestrial Laser Scanner (TLS) is an important device to provide three dimensional geom... more Abstract Terrestrial Laser Scanner (TLS) is an important device to provide three dimensional geometric information with respect to known reference coordinate system. The data from TLS often called point cloud due to their high density. It is unstructured and do not have any explicit information about the object except 3D positional and intensity information to each point. Data segmentation and feature extraction are fundamental problem in point cloud processing step. These are important prerequisite for object recognition and environment understanding. This paper describes a methodology to use the geometrical information for scanning object such as normal vector to extract and segment object edges. Edge based segmentation technique will be studied and improved. The proposed method is programmed and used to extract different region boundaries for two real TLS data and the quality of the results shows the effectiveness of the proposed algorithm.

Very high resolution satellite images, such as World view2, are important for produce new maps or... more Very high resolution satellite images, such as World view2, are important for produce new maps or update existing ones. Maps are useful for planning and navigation purposes in any country. Main aim of this work is the assessment of a methodology to achieve the best possible geometric accuracy in rectified imagery products obtained from World view2. The research includes, studying the effect of the number of Ground Control Points (GCPs) with various 2D polynomial rectification models on the accuracy geometric correction step. The resulting RMSE on the check points (CPs) will be evaluated. Results showed that using a second order polynomial for world view 2 image rectification with 33 well distributed GCPs resulted in a total RMSE 0.96 m for a number of 13 CPs which is less than the value of two pixel size of the used satellite image. Also, by using from 20 GCPs till 33, the accuracy of geometric correction for all polynomial orders has a small variation.

Satellit images, Remote Sensing (RS) and Geographic Information System (GIS) are perfect tools fo... more Satellit images, Remote Sensing (RS) and Geographic Information System (GIS) are perfect tools for geo-inviromental applications in science and engineering. While the egyption ministry of electricity is planning to establish a new electrical station at Nuweiba city in Egypt, to cover the increasing demand on electricity in this area. In this paper an integrated approach using satellite data and GIS techniques in conjunction with ARC / GIS program is used to study some issues related to the environment surrounding the project and get its impact. land use map with scale 1:100,000 for the main geo-environmental features and landforms of study area is produced by using ArcMap program. The produced map taks consideration of land use changes within 1984, 2000 and 2007. Nuweiba city, the Gulf of Aqaba has the potentials to be developed and need to support such developments by establishing the essential services projects such as the proposed electrical power station. Remote Sensing and GIS are the best tools of acquiring and analysis the basic information particularly on the environmental applications.