Image Processing For Estimating Sustainability of Riverfronts: A Case-Study of Sabarmati Riverfront

- Authors: Dhruv Aditya Jain1, Sunil Kumar Singal2, Pratham Arora3
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View Affiliations Hide Affiliations1 Department of Hydro and Renewable Energy, IIT Roorkee, India 2 Department of Hydro and Renewable Energy, IIT Roorkee, India 3 Department of Hydro and Renewable Energy, IIT Roorkee, India
- Source: Image Processing in Renewable Energy Resources: Opportunities and Challenges , pp 87-105
- Publication Date: January 2022
- Language: English
The present study performs a sustainability assessment for the Sabarmati Riverfront, India, from the viewpoint of public accessibility. Planned development and redevelopment of riverfronts are a recent phenomenon in the Indian development landscape. However, these riverfronts are rarely assessed after their construction. In this study, the Comprehensive Index of Public Accessibility of Riverfront (CIPAR), which consists of 4 sub-indexes and 12 indicators, has been used for assessing the conditions of Sabarmati Riverfront, Ahmedabad. These four sub-indexes measure (1) spatial accessibility, (2) visual accessibility, (3) corridor continuity, and (4) amenity. This study analyzes the fourteen segments of the Sabarmati riverfront from Subhash bridge to Proposed bridge 3 (Jamalpur flyover). Image processing software tools such as ArcGIS, QGIS, AutoCAD, Autodesk 3DS Max, Blender, City Engine 2019, ERDAS IMAGINE, Google Open Street Map have been utilized for calculating the sub-indexes mentioned above. The different software platforms have been compared. The final CIPAR Index ratings of various sections of the Sabarmati riverfront vary between 12.5 and 32.5, out of a total score of 40. The Sabarmati Riverfront scores well in spatial accessibility but lacks in terms of visual accessibility and corridor continuity. Thus, apart from being the first study for estimating the accessibility of the Sabarmati riverfront, the present study also demonstrates a methodology for conducting similar assessments using a variety of image processing tools.
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