"UrbanGreenInsights: Satellite Insights into Green Spaces for Sustainable Cities" is a project focused on assessing green spaces in Tier-1 (Ahemdabad,Mumbai,Bengaluru) and Tier-2 (Surat,Vadodara,Chandigarh) cities using satellite remote sensing data. The study aims to contribute to Sustainable Development Goal 15 (SDG-15) - "Life on Land" by evaluating urban greenery dynamics and providing insights into sustainable urban development.
- To utilize satellite remote sensing data to assess green spaces in urban areas.
- To calculate ratios and elasticities based on built-up and vegetation classes.
- To evaluate urban greenery dynamics and determine growth percentages for various cities.
- To contribute to sustainable urban planning by providing insights into urban development trends.
- Data Collection: Satellite imagery data was collected for Tier-1 and Tier-2 cities.
- Image Processing: The images were processed to classify built-up and vegetation areas.
- Statistical Analysis: Ratios and elasticities were calculated to assess urban greenery dynamics.
- Visualization: Visualizations were created to depict the distribution and growth of green spaces.
- The project identified and quantified the growth trajectory of green spaces in specific cities.
- Growth percentages for various cities were determined, providing insights into urban development trends.
- The study highlighted the importance of urban green spaces in mitigating urban heat island effects and enhancing climate resilience.
- Biodiversity Conservation: Insights into preserving green spaces within urban settings.
- Urban Green Spaces: Evaluation of the current status and growth of green areas in cities.
- Sustainable Urbanization: Recommendations for integrating green spaces in urban planning.
- Climate Resilience: Analysis of the role of green spaces in mitigating climate change impacts.
- The study is limited by the resolution and accuracy of the satellite imagery used.
- Temporal variations in data collection may affect the consistency of the analysis.
- Expanding the study to include more cities and finer spatial resolution data.
- Incorporating additional environmental factors such as air quality and water bodies.
- Developing predictive models to forecast future trends in urban green space dynamics.