A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Efficient Land Cover Classification for Urban Planning
Understanding spatiotemporal urban dynamics is incredibly vital within the context of the speedy urban boom with severe social and environmental challenges, like urban impoverishment, numerous sorts of pollution, vulnerabilities to seasoning activities, climate alternate effects, modifications in native weather, and their probable impacts on water level and so on. Findings of the strategies is expected so that it will facilitate in making plans belonging urban improvement rules and complete framework for its designing and control. Knowledge of land cover, land use, and land change is very essential for understanding human activity and creating plans, policies, and solutions for urban planning. This paper proposes the development of a land cover classification system that can classify images efficiently based on the land cover in an efficient manner without any human intervention.
Efficient Land Cover Classification for Urban Planning
Understanding spatiotemporal urban dynamics is incredibly vital within the context of the speedy urban boom with severe social and environmental challenges, like urban impoverishment, numerous sorts of pollution, vulnerabilities to seasoning activities, climate alternate effects, modifications in native weather, and their probable impacts on water level and so on. Findings of the strategies is expected so that it will facilitate in making plans belonging urban improvement rules and complete framework for its designing and control. Knowledge of land cover, land use, and land change is very essential for understanding human activity and creating plans, policies, and solutions for urban planning. This paper proposes the development of a land cover classification system that can classify images efficiently based on the land cover in an efficient manner without any human intervention.
Efficient Land Cover Classification for Urban Planning
Arokia Priya, R. (editor) / Patil, Anupama V (editor) / Bhende, Manisha (editor) / Thakare, Anuradha (editor) / Wagh, Sanjeev (editor) / Chavan, Vandana Tulshidas (author) / Wagh, Sanjeev J. (author)
Object Detection by Stereo Vision Images ; 185-194
2022-09-20
10 pages
Article/Chapter (Book)
Electronic Resource
English
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