Refining Vector Layers Using Satellite Images

Abstract

Vector layers represent features as line, polygons and points. Vector data is an essential compo- nent in a successful GIS as it involves in accurate and precise calculations of spatial measurements involving length, distance and area. Vector data is also capable of generating queries unable to solve using raster data. Such as which houses are within the 100 year ood level of a river, Which learners live in a particular suburb. Most common methods of creating vector data are digitizing of existing maps and satellite images, using data from eld surveys and using computer based algorithms. Accuracy of vector data will greatly depend on the scale of the map, resolution of the satellite image, e ciency of the algorithm, attention to details during digitizing and the ac- curacy of the instruments used in eld surveys. Hence, obtaining data from various data sources could lead to major compatibility issues over data accuracy and data integrity. This project is an e ort to develop a method to re ne existing vector layers using high resolution satellite images to create more accurate and meticulous vector layers.