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PATCH.AI: Forest Cover Virtualization on Digital Maps Using Satellite Imagery (Google Maps API)
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Author(s): R. Parvathi (Vellore Institute of Technology, India), V Pattabiraman (Vellore Institute of Technology, India)and B. Shakthi (Vellore Institute of Technology, India)
Copyright: 2025
Pages: 18
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.ch005
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Abstract
In a situation where the severe threats of down environmental challenges are prevalent, there is no doubt that there has never been a time when innovative tools for the forest ecosystems monitoring and management are relevant. PATCH.AI stands out as a pioneering technology that enables the integration of satellite imagery and AI algorithms to execute a through coverage status survey of forests. PATCH.AI provides analytical solutions based on the state-of-the-art Google Maps API. This technology makes use of high-definition satellite photographs that allow for the precise visualization and analysis of the given area. The core functions of PATCH.AI are in getting accurate details on areas that are forested or not through the artificial intelligence technology. Through the use of the latest in image processing technology, the system automatically recognizes and colors any forest regions in green, and thereafter, the background is plainly white, indicating the absence of forest.
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