Lake Taihu Suspended Particulate Matter Concentrations from Landsat, 1984-2020

Ziyao Yin from the Chinese Academy of Sciences produced a suspended particulate matter (SPM) concentration product for Lake Taihu spanning 1984 to 2020. The dataset was created using Landsat-5 TM and Landsat-8 OLI satellite data, with Landsat-7 ETM+ excluded due to striping noise. SPM estimation models were calibrated and validated using in situ SPM, remote sensing reflectance data, and synchronous satellite data, achieving an average unbiased relative error below 35%.

Use Cases

• Analyzing long-term trends in water turbidity and sediment load based on the 36-year time series.
• Calibrating and validating remote sensing water quality models based on the in situ SPM and reflectance data mentioned.
• Studying the spatiotemporal distribution patterns of suspended matter to inform local water resource conservation efforts.
• Comparing the effectiveness of different Landsat sensor bands for SPM retrieval based on the described band combination analysis.

Strengths

• Covers a 36-year time series from 1984 to 2020.
• Model validation reports an average unbiased relative error below 35%.
• Based on calibrated Landsat-5 TM and Landsat-8 OLI satellite data.

Limitations

• Row count and file size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Landsat-7 ETM+ data was not used, creating a potential gap in the sensor record.

Provenance

Source

Ziyao Yin, Chinese Academy of Sciences

Collection Method

Derived from Landsat-5 TM and Landsat-8 OLI satellite imagery, calibrated with in situ SPM and remote sensing reflectance data.

Time Range

1984 to 2020

Geography

Lake Taihu