Assessment of Urban Built-Up Volume Using Geospatial Methods: A Case Study of Bangalore

摘要

Mapping of urban environments is a challenging task because of the dense and heterogeneous nature. Constantly developing infrastructures necessitate frequent updating of the urban database. The spatial pattern of built-up land use indicates the growth of cities and incorporating vertical components in the calculation of built-up volume is essential to plan for a sustainable future. In this study, the urban built-up volume is estimated through built-up area that is derived from high-resolution LISS IV data using deep learning techniques and height data is derived from Cartosat-1 stereo images using photogrammetric methods. The results indicate that the eastern part of the city has urban volume development compared to the central business district. This result can be used as a reference indication for characterizing economic growth, proxy measure to various parameters such as population, traffic conditions, power consumption, telecom network planning, etc.