Abstract
In this study IKONOS images with high spatial resolution have been used for urban planning classification. This research explores approaches to improve urban planning and build up the data base for types of patterns area within the urban scheme in central of Almadinah Almunawarah using remote sensing based on Texture Analysis Applications and Geospatial Information System (GIS softwares). It has been compared with Traditional method (Field Survey) of urban planning classification in Almadinah Almunawarah. The activities of central Almadinah was divided into commercial area, investment area, industrial area, health services building, religious building, garden, infrastructure, government services building, and agricultural area. The results of this study showed the commercial and investments area was the largest area 6.5 km, and it is followed by religious services 3.2 km, while the third ring area the largest area was the agricultural housing area 16 km and then followed by commercial and investments area 5.3 km of the total area. This study recommends to use remote sensing data to classify the urban planning due to significantly improve land cover classification performance compare to traditional survey.
Highlights
Recent advancements made in the development of satellite sensors, image processing techniques, urban classes’ data collection techniques and GIS modeling have provided in combination a powerful tool for urban classification analysis and monitoring
We provide description of each processing step of the texture analysis methods focusing on applications that explain many different methods
Remote sensing technology and GIS with texture analysis and methods have been tested and compared, the validation done with field survey
Summary
Recent advancements made in the development of satellite sensors, image processing techniques, urban classes’ data collection techniques and GIS modeling have provided in combination a powerful tool for urban classification analysis and monitoring. IKONOS can better detect and mentoring the change of urban classes cover associated with signature value using information contained in the surface emissive and reflectance signatures It improves the accuracy in the measuring of classes’ area. Due to fast development and rapid urban expansion in Almadinah Almunwarah city and the need to update the map patterns of urban plans associated with data base build up to do proper urban planning and management of these areas a way that meets the growing work, housing, economic and investment activities need and distributed appropriately It is appropriate considering the introduce of remote sensing (Texture analysis applications) and geographic information systems to monitoring this change with development of urban planning in the city of Medina and to update the databases of classes cover change. In other hand the research carry out with validation between result from satellite image and field work
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