[Quantitative estimation of suspended solid concentration in the lower Min River based on multi-source synchronal...

Area of Science:

• Remote Sensing
• Environmental Science
• Water Quality Monitoring

Context:

• Suspended solid concentration (SSC) is a key indicator of water quality.
• The lower Min River's water quality is influenced by suspended solids.
• Accurate SSC monitoring is crucial for environmental management.

Purpose:

• To develop and compare models for predicting SSC using field spectrometer and Landsat TM data.
• To assess the effectiveness of remote sensing data for SSC estimation.
• To understand the spatial distribution of SSC in the lower Min River.

Summary:

• Two models were developed: one using field spectrometer data and another using Landsat TM data, to estimate SSC.
• The field spectrometer model, utilizing reflectance at 690 nm and 530 nm, showed higher accuracy.
• A Landsat TM model using a specific band combination also provided valuable SSC predictions, demonstrating its utility when field data is unavailable.

Impact:

• The study validates the use of Landsat TM data for SSC monitoring, offering a cost-effective alternative to field measurements.
• The developed models can efficiently reveal the spatial distribution patterns of SSC in river systems.
• Findings support improved water resource management and environmental protection strategies for the lower Min River.