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

RaniaShobhit 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.

Remote Sensing and Land UseRemote-Sensing Image ClassificationAdvanced Computational Techniques and ApplicationsLand coverLand useRemote sensingSatelliteSatellite imageCover (algebra)Land information systemGeographyEnvironmental scienceForestry
Citations
3
FWCI
1.13
field-weighted impact
References
25
Percentile
72%
vs. same field & year
References
AI based approach for 6G wireless communication
International Journal of Communication and Information Technology · 2023 · 7 citations
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