Urban Morphology Assessment through Close-Range Photogrammetry: A Case Study of Garhi Cantonment Street, Dehradun City (Uttarakhand)

Abstract Photogrammetry is the science and technology for obtaining reliable 3D geometric and physical information about objects and the environment from photographic images. Practically, photogrammetry allows 3D measurements of geometric information of objects (e.g., positions, orientations, shapes, and sizes) from photographs. In the last decade the demand of 3D models for objects and places has been increasing drastically for visualization and interpretation purposes. Most professional 3D software is expensive, however for the present study we have used TRIVIM open-source software to make 3D modeling. This paper mainly focuses to generate 3D street modeling using the principle of close-range photogrammetry and to assess urban morphology through 3D Visualization and data query. Our study area is the buildings along the Garhi Cantt road (New Cantonment Road), near Indian Institute of Remote Sensing (IIRS), Dehradun, India. Present paper highlights that Trivim Software would provide a visualization and decision support tool by creating georeferenced, photorealistic models attached with attribute data base for variety of applications.