Remote Sensing Analysis of Temperature and Suspended Sediment Concentration in Ayeyarwady River in Myanmar

Nyein Thandar Ko , Martine Rutten, John Conallin

ABSTRACT

Objective - This study demonstrates that the Operational Land Image (OLI) Sensor on the board of Landsat 8 can be successfully applied for detection of spatial patterns of water temperature [°C] as well as suspended sediment concentration (SSC) [mg/L] using the Ayeyarwady river, Myanmar as a case study

Methodology/Technique - Water temperature estimation was obtained from the brightness thermal Band 10 by using the Split-Window algorithm with a relative error in a range from 4.5% to 8.2%. An empirical equation was developed based on nineteen SSC points from a field survey and Landsat (133Path/45Roll) This equation was applied to another Landsat image (134Path/45Roll) to estimate SSC and to check the reliability of this equation

Findings - Near infrared and red bands were found as the most responsive wavelength bands for retrieving SSC of the river in both Landsat images with a relative error in a range of less than 20%

Novelty - Future studies should focus on the improvement of ground reference data points to become more reliable for this data scarce river basin

Type of Paper: Empirical

Keywords: Landsat 8, suspended sediment concentration (SSC), Ayeyarwady river, Myanmar, split-window algorithm, water temperature.

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