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Hyperspectral Water Monitoring System

  • Unique Paper ID: 180110
  • Volume: 12
  • Issue: 1
  • PageNo: 118-123
  • Abstract:
  • —In today’s data-driven world, environmental monitoring demands scalable and intelligent systems to process complex satellite imagery. To address the challenges in surface water resource detection, we introduce a Flask-based web application that integrates deep learning with hyperspectral imaging. This system automates the classification of water and non-water bodies using CNN and GCN models trained on spectral bands. Hyperspectral images are preprocessed, analysed, and visualized in an intuitive interface that enables efficient decision-making. Unlike traditional methods that are costly and time-consuming, our solution offers rapid, accurate, and accessible surface water detection at scale.
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  • ISSN: 2349-6002
  • Volume: 12
  • Issue: 1
  • PageNo: 118-123

Hyperspectral Water Monitoring System

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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