Utilizing Remote Sensing for Urban Planning and Infrastructure Development

Abstract

Urban expansion and infrastructure development require accurate and up-to date geographical data, which remote sensing efficiently provides. This paper explores the role of remote sensing in city planning, transportation management, and infrastructure maintenance. The use of high-resolution satellite imagery, LiDAR scanning, and thermal imaging for land use classification and smart city development is discussed. The benefits of GIS integration in urban planning are also highlighted. Challenges such as data privacy concerns, high costs, and technological barriers are analyzed along with possible solutions to enhance remote sensing applications in urban studies.

Keywords: Remote sensing, urban planning, LiDAR, GIS, smart cities