Abstract <p>This study estimates two major coastal water quality parameters, chlorophyll-<i>a</i> concentration and total suspended matter along the Odisha coast in India, using Landsat-8 imagery. The research validates the retrieved parameters and explores their spatial and temporal variability. The validation statistics indicate a relatively good level of agreement between the estimations and in-situ observations. The retrieved concentrations of total suspended matter and chlorophyll-<i>a</i> showed strong correlations with the <i>in-situ</i> data, with Pearson coefficients of 0.75 and 0.65, respectively. Retrieval accuracy was ~80% for total suspended matter and ~40% for chlorophyll-<i>a</i> concentration. Over an 8-year period, the averaged total suspended matter distribution revealed highly turbid waters, particularly around the Dhamra estuarine region, with concentrations exceeding 50 g/m<sup>3</sup>. The analysis revealed significant spatial variability in the distribution of chlorophyll concentration along the Odisha coast. This study demonstrates the effectiveness of Landsat-8 imagery in retrieving and monitoring major water quality parameters, which will aid in managing the coastal water environment in the study area.</p> Research Highlights <p><UnorderedList Mark="Bullet"> <ItemContent> <p>Demonstrated the viability of Landsat-8 OLI data to retrieve total suspended matter and chlorophyll concentration for Odisha Coast of India</p> </ItemContent> <ItemContent> <p>Landsat-8 imagery showed high validation accuracy with Pearson coefficients of 0.75 for total suspended matter and 0.65 for chlorophyll concentration.</p> </ItemContent> <ItemContent> <p>The study revealed significant seasonal variability, with total suspended matter highest in the winter monsoon season and chlorophyll highest in spring.</p> </ItemContent> <ItemContent> <p>Higher total suspended matter and chlorophyll concentrations were primarily found in the Dhamra region.</p> </ItemContent> <ItemContent> <p>The study demonstrated the effectiveness of Landsat-8 imagery for cost-effective and efficient coastal water quality monitoring and management.</p> </ItemContent> </UnorderedList></p>

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Assessing coastal water quality along Odisha using Landsat-8: Insights into seasonal and spatial variability

  • Neethu Chacko,
  • Chiranjivi Jayaram

摘要

Abstract

This study estimates two major coastal water quality parameters, chlorophyll-a concentration and total suspended matter along the Odisha coast in India, using Landsat-8 imagery. The research validates the retrieved parameters and explores their spatial and temporal variability. The validation statistics indicate a relatively good level of agreement between the estimations and in-situ observations. The retrieved concentrations of total suspended matter and chlorophyll-a showed strong correlations with the in-situ data, with Pearson coefficients of 0.75 and 0.65, respectively. Retrieval accuracy was ~80% for total suspended matter and ~40% for chlorophyll-a concentration. Over an 8-year period, the averaged total suspended matter distribution revealed highly turbid waters, particularly around the Dhamra estuarine region, with concentrations exceeding 50 g/m3. The analysis revealed significant spatial variability in the distribution of chlorophyll concentration along the Odisha coast. This study demonstrates the effectiveness of Landsat-8 imagery in retrieving and monitoring major water quality parameters, which will aid in managing the coastal water environment in the study area.

Research Highlights

Demonstrated the viability of Landsat-8 OLI data to retrieve total suspended matter and chlorophyll concentration for Odisha Coast of India

Landsat-8 imagery showed high validation accuracy with Pearson coefficients of 0.75 for total suspended matter and 0.65 for chlorophyll concentration.

The study revealed significant seasonal variability, with total suspended matter highest in the winter monsoon season and chlorophyll highest in spring.

Higher total suspended matter and chlorophyll concentrations were primarily found in the Dhamra region.

The study demonstrated the effectiveness of Landsat-8 imagery for cost-effective and efficient coastal water quality monitoring and management.