Project Abstract

This project aims to develop an efficient and comprehensive system for the mapping and inventory of urban infrastructure using remote sensing and geographic information systems (GIS) technologies. In the face of rapid urbanization and the growing complexity of urban environments, the need for accurate and up-to-date information on the state of urban infrastructure has become increasingly pressing. Traditional methods of manual data collection and mapping are often time-consuming, labor-intensive, and prone to errors, making it challenging to maintain a comprehensive and current understanding of urban infrastructure assets. The project will leverage the power of remote sensing and GIS to automate the process of urban infrastructure mapping and inventory. By integrating satellite imagery, aerial photography, and other geospatial data sources, the system will be able to detect, identify, and map a wide range of urban infrastructure elements, including roads, buildings, utilities, and transportation networks. This will provide city planners, decision-makers, and infrastructure managers with a detailed and up-to-date understanding of the urban landscape, enabling them to make informed decisions about infrastructure maintenance, investment, and development. One of the key features of the proposed system will be its ability to automatically classify and inventory different types of urban infrastructure. Using advanced machine learning and computer vision techniques, the system will be able to accurately identify and categorize various infrastructure assets, such as road types, building characteristics, and utility networks. This will not only streamline the mapping process but also provide detailed information about the condition, age, and other relevant attributes of the infrastructure, helping to prioritize maintenance and investment efforts. Furthermore, the project will integrate the mapping and inventory data with GIS platforms, allowing for the creation of comprehensive, interactive maps and dashboards. These tools will enable users to visualize, analyze, and query the urban infrastructure data, facilitating better planning, decision-making, and resource allocation. The system will also be designed to be scalable and adaptable, allowing it to be deployed in different urban settings with minimal customization. The project will be implemented in close collaboration with local government authorities and urban planning agencies, ensuring that the developed system meets the specific needs and requirements of the target communities. The team will also engage with relevant stakeholders, such as infrastructure service providers and community groups, to ensure that the system is designed to be user-friendly and accessible to a wide range of users. By automating the mapping and inventory of urban infrastructure, this project has the potential to significantly improve the efficiency and effectiveness of urban planning and management. The accurate, up-to-date, and comprehensive data generated by the system will enable better decision-making, resource allocation, and infrastructure maintenance, ultimately contributing to the development of more sustainable, resilient, and livable cities.

Project Overview