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Harnessing AI in Geospatial Technology for Environmental Monitoring and Management: Applications of AI for Geospatial Data Processing
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Author(s): Monica Gupta (Bharati Vidyapeeth's College of Engineering, India)and Rupanshi Bhatnagar (Ernst & Young, India)
Copyright: 2025
Pages: 30
Source title:
Recent Trends in Geospatial AI
Source Author(s)/Editor(s): Dina Darwish (Ahram Canadian University, Egypt)and Houssem Chemingui (Brest Business School, France & Centre de Recherche en Informatique, Panthéon Sorbonne University, France
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DOI: 10.4018/979-8-3693-8054-3.ch003
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Abstract
The chapter explores the role of Geospatial Technology in processing, and analyzing geographically-referenced data from various sources, such as satellite imagery, sensor networks, and climate models. Geospatial Technology tools like GPS, remote sensing, GIS, and LiDAR have proven invaluable in areas like urban planning, disaster management, and environmental conservation. These technologies provide real-time, accurate geographic data, enabling organizations to make informed decisions. Geospatial Technology is widely used in urban development for optimizing infrastructure, tracking deforestation, and monitoring biodiversity. In disaster management, it supports early warning systems and enhances coordination during crisis response. Additionally, it helps manage natural resources and monitor agricultural productivity. The chapter highlights the evolution of Geospatial Technology, emphasizing its growing importance in environmental monitoring and resource management, while showcasing how its applications continue to expand across sectors such as defense, urban planning, and agriculture.
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