Abstract
This research primarily aims to develop a method in which road distress can be identified at early stage so that it could be maintained and fixed early thus avoiding critical damage. The primary source of data for the project was obtained by field survey with the use of vehicle and a handheld GPS to obtain the coordinates of each distress and a digital camera was used to take the pictures of the distress. The secondary sources of data include the Google Earth Imagery and the Remote sensing data. The approach adopted in this work involves obtaining the Global Positioning System (GPS) and the photographs of each distress noticed on the road, and then attaching the photographs to the classified map. The study was conducted in Yewa South Local Government in Ogun State in Nigeria which cover an area of 656,54 sqkm with population of 168,850 at the 2006 census. The study area has a total road length of 893.017 km. Assessment of road infrastructure using remote sensing and ArcGIS Geodatabase methodology for monitoring the condition of paved and unpaved road is an efficient approach utilized in management, planning and subsequent development of the road network in the study area.
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