Image Processing in Renewable Energy Resources: Opportunities and Challenges

Author(s): Dhruv Aditya Jain, Sunil Kumar Singal and Pratham Arora * .

DOI: 10.2174/9789815036992122010008

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

Pp: 87-105 (19)

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Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

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.

Keywords:

AutoCAD, Blender, CIPAR Index, NDVI, Riverfront Development.

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