International Journal of Computing and Artificial Intelligence

P-ISSN: 2707-6571, E-ISSN: 2707-658X
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2024, Vol. 5, Issue 1, Part A

AI-based system for satellite image analysis: Landuse and land cover classification


Author(s): Rania and Shobhit Siddha

Abstract: This research paper introduces an innovative Artificial Intelligence (AI) based system designed to facilitate human interaction with satellite images for thematic information extraction. The primary objective of this system is to auto- mate the analysis of satellite images for vegetation analysis and deforestation detection in specific regions of India, namely Jharkhand, Chhattisgarh, and Madhya Pradesh. The proposed system leverages deep learning techniques, transfer learning, and pre-trained models to accurately identify vegetation and assess deforestation patterns. By harnessing the power of AI, this system aims to enhance resource monitoring, urban planning, and decision-making processes while reducing the dependence on crowdsourcing platforms and volunteers for collecting and updating relevant information.

DOI: 10.33545/27076571.2024.v5.i1a.75

Pages: 09-14 | Views: 334 | Downloads: 234

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International Journal of Computing and Artificial Intelligence
How to cite this article:
Rania, Shobhit Siddha. AI-based system for satellite image analysis: Landuse and land cover classification. Int J Comput Artif Intell 2024;5(1):09-14. DOI: 10.33545/27076571.2024.v5.i1a.75
International Journal of Computing and Artificial Intelligence

International Journal of Computing and Artificial Intelligence

International Journal of Computing and Artificial Intelligence
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