Satellite Imagery and AI Techniques in Geospatial Analysis to Enhance Environmental Sustainability: Fid-Bau Portal

Satellite Imagery and AI Techniques in Geospatial Analysis to Enhance Environmental Sustainability

Application on Urban Green Space in the City of Rabat Morocco

Chahbi, Mariame

The rapid pace of digital transformation is setting everyday life activities with artificial intelligence. Machine learning is developing fast day by day having the ability of solving complex issues. Today, urban data collection, filtering and structuring is an area of high demand, especially for Machine Learning (ML) based applications. Satellite imagery is a powerful tool that provides a big amount of data based on an accurate representation of the ground reality. It comes up with precise data at high resolution and recently became more and more available. The AI computational models are progressing day by day, increasingly becoming complex and more performant.

In urban planning, the computational models have been used in parallel with the geospatial analysis in several ways such as classification to recognize land use as well as clustering techniques which are frequently used to create model indicators of urban forms such as urban land use and urban shape.

This research studies the role of geospatial artificial intelligence using the power of satellite imagery to enhance sustainability focusing on the case of Rabat in Morocco. It is based on secondary and primary data, geo-satellite data processed Sentinel a2 and visualized in Python. This study is using computational tools such as deep learning techniques using Python languages combined with geospatial tools for classification analysis to give an overall estimation of urban green space quality.

The result can be a framework for government and decision-makers to help think about innovative development to improve the quality and efficiency of urban green space and predict relevant planning solutions in a way to improve livability while enhancing environmental sustainability.