Year: 2025
Type: article
Abstract: Urban green spaces play a vital role in sustainability, yet quantifying them using diverse datasets remains a challenge. This paper introduces a novel framework to evaluate green space equity by integrating satellite imagery, weather data, and housing prices. Using image processing and clustering, we extract vegetation features and combine them with temperature and economic indicators. The proposed Green Equity Index (GEI) offers a composite score reflecting both environmental quality and socio-economic access to greenery. Results highlight disparities in green space distribution, linking vegetation coverage to temperature patterns and property values. The GEI serves as a valuable tool for policymakers and urban planners to identify underserved communities and promote equitable green infrastructure development. This approach enables scalable, data-driven assessment of urban greenery, supporting more inclusive and sustainable city planning. Keywords: GEI (Green Equity Index),GSA (Green Space Assessment), Urban Sustainability, Vegetation Mapping
DOI: 10.55041/ijsrem51100
Author: Maram Venkata Ravisankar Reddy
Language: English
Topic: Urban Green Space and Health
Subfield: Health, Toxicology and Mutagenesis
Field: Environmental Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4411759932