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Garbage patches in the world’s oceans are a growing environmental concern, with the Indian Ocean experiencing its share of marine debris accumulation. This research employs remote sensing techniques with Sentinel-2 satellite data to identify and monitor garbage patches in the Indian Ocean near Penna River, the coast of Nellore. Sentinel-2’s Multi-Spectral Imagery (MSI) provides valuable ocean color information, enabling the detection and characterization of these pollution hotspots. This study presents a comprehensive analysis of the application of Sentinel-2 data for the remote sensing of Indian Ocean garbage patches, focusing on the acquisition, preprocessing, and analysis of MSI imagery. By leveraging the unique capabilities of Sentinel-2, insights into the spatial and temporal dynamics of garbage accumulation in the Indian Ocean are explored through the effective use of spectral indices, contributing to the understanding of this critical environmental issue. The results demonstrate the utility of Sentinel-2 in monitoring and managing marine debris in the Indian Ocean, offering valuable information for policymakers and environmental agencies working towards effective mitigation strategies.

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Time Series Analysis of Plastic Accumulation Through Effective Use of Spectral Indices Near Penna River, Coast of Nellore, Indian Ocean

  • 会议论文

  • 发表日期：

    2026年

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  • Vikash Kumar Mishra,
  • Ansh Shankar,
  • Nidhi Pragya,
  • Vipin Balyan,
  • Gunjan Gupta

摘要

Garbage patches in the world’s oceans are a growing environmental concern, with the Indian Ocean experiencing its share of marine debris accumulation. This research employs remote sensing techniques with Sentinel-2 satellite data to identify and monitor garbage patches in the Indian Ocean near Penna River, the coast of Nellore. Sentinel-2’s Multi-Spectral Imagery (MSI) provides valuable ocean color information, enabling the detection and characterization of these pollution hotspots. This study presents a comprehensive analysis of the application of Sentinel-2 data for the remote sensing of Indian Ocean garbage patches, focusing on the acquisition, preprocessing, and analysis of MSI imagery. By leveraging the unique capabilities of Sentinel-2, insights into the spatial and temporal dynamics of garbage accumulation in the Indian Ocean are explored through the effective use of spectral indices, contributing to the understanding of this critical environmental issue. The results demonstrate the utility of Sentinel-2 in monitoring and managing marine debris in the Indian Ocean, offering valuable information for policymakers and environmental agencies working towards effective mitigation strategies.