Analysis of urban green spaces through remote sensing in a neighborhood of João Pessoa, Brazil

Abstract

Objective: This study aims to quantify areas with vegetation cover in the Tambaú neighborhood of João Pessoa, Brazil, using NDVI and NDBI analyses, and to assess the influence and benefits of these green spaces on urban quality of life.

Methodology: To achieve this objective, remote sensing techniques were employed to better understand vegetation phenology at varying spatial resolutions, supporting local urban planning efforts. Quantitative analyses were conducted using cartographic data and Google Earth imagery, complemented by qualitative assessments through site visits and photographic documentation.

Results: Although the Tambaú neighborhood contains some public green spaces, they are limited and poorly distributed, restricting leisure opportunities for residents. These areas are mostly concentrated in the tourist zone along the coastline. NDVI and NDBI analyses highlight ongoing urban expansion processes, which have led to reduced vegetation coverage and diminished thermal comfort. Additionally, the lack of adequate urban planning negatively impacts quality of life, underscoring the urgent need for more integrated green infrastructure. The revitalization of the Environmental Preservation Area along the Jaguaribe River is a positive initiative, but remains insufficient.

Social and Environmental Contributions: This study provides valuable data to inform urban planning and promotes an integrated perspective that incorporates both social and environmental dimensions, contributing to more equitable and sustainable urban development