Land Cover Percentages from Topographically Corrected Landsat 8 Imagery in Guizhou, China

Xuanying Shen's dataset provides the percentage area of each land cover type derived from Landsat 8 surface reflectance data for a karst mountainous region in Guizhou, China. The data was processed using the SCSCTS topographic correction method to reduce illumination biases in spring and winter conditions. The dataset was last updated on April 30, 2026.

Use Cases

• Evaluating the performance of topographic correction methods based on the described reduction in reflectance dependence and anomalous pixels.
• Analyzing land cover distribution in karst ecosystems based on the derived percentage area data.
• Studying seasonal variations in vegetation indices like EVI and NIRv based on the described reduction in terrain-related correlations.
• Assessing radiometric consistency for remote sensing parameter retrievals in shadowed, mountainous environments.

Strengths

• Data is derived from a methodologically rigorous study, with quantitative performance metrics reported (e.g., up to 99.4% reduction in NIR reflectance dependence).
• The dataset is small (5.5 KB) and in XLS format, facilitating quick inspection and basic analysis.
• It is openly licensed under CC-BY-4.0, allowing for reuse and redistribution.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment and requires manual inspection after download.
• The geographic scope is limited to a specific karst mountainous region in Guizhou, China.
• The temporal coverage is limited to spring and winter conditions from an unspecified time period.

Provenance

Source

Xuanying Shen via figshare.

Collection Method

Derived from Landsat 8 surface reflectance data processed with the SCSCTS illumination-stratified topographic correction method.

Time Range

Spring and winter conditions (specific years not provided).

Freshness

Last updated 2026-04-30 17:25:03; freshness should be verified.

Geography

A karst mountainous region in Guizhou, China.