UrbanGreenInsights 🌳

"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.

Objectives ✔️

• 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.

Methodology 📖

1. Data Collection: Satellite imagery data was collected for Tier-1 and Tier-2 cities.
2. Image Processing: The images were processed to classify built-up and vegetation areas.
3. Statistical Analysis: Ratios and elasticities were calculated to assess urban greenery dynamics.
4. Visualization: Visualizations were created to depict the distribution and growth of green spaces.

Key Findings 🔑

• 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.

Contributions 🚩

• 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.

Limitations ✋

• 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.

Future Scope 🤔

• 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.