An overview of GeoSpatial Artificial Intelligence technologies for city planning and development

Abstract

Geo-spatial artificial intelligence (GeoAI) is an interdisciplinary field that combines techniques and methods from engineering, computer science, statistics, and space science to analyze and model spatial and temporal phenomena using artificial intelligence (AI) methods. This subject has a large influence on society and the economy since it focuses on real-world challenges. Artificial intelligence is fast developing in the automatic recognition of characteristics in geospatial data such as satellite photos, aerial photographs, etc. The computer community is very interested in satellite imagery because it wants to help machines understand their surroundings by analyzing satellite data. This type of treatment has the potential to test large areas at low cost. Remote sensing and geographic data enable collection, analysis, and processing of global observation data for civilian and military applications. This document provides an overview of GeoAI methods in urban planning, including the definition of GeoSpatial Artificial Intelligence and the distinctions between GeoAI and traditional AI. Different types of geospatial data satellites are also depicted. Integrating Geographic Information System (GIS) with Artificial Intelligence and using GeoAI tools and techniques are critical steps in successful geographic data analysis.