Selected Vegetation Indices and Formulas for Karst Mountain Topographic Correction

Selected vegetation indices and formulas from a study proposing the SCSCTS topographic correction method. The dataset likely contains indices and formulas used to evaluate the method's performance on Landsat 8 surface reflectance data from a karst mountainous region in Guizhou, China, under spring and winter conditions. It was authored by Xuanying Shen and last updated on 2026-04 30.

Use Cases

• Evaluating topographic correction methods based on vegetation index performance metrics mentioned in the description
• Analyzing terrain-related correlations of indices like EVI, NIRv, and RDVI based on the study's results
• Comparing correction model stability under different solar elevation conditions based on the described quantitative results

Strengths

• Dataset is associated with a method that reportedly reduced dependence of near-infrared reflectance on topographic illumination by up to 99.4% under certain conditions
• The study provides specific performance metrics, such as reducing anomalous reflectance pixels by 72.0% in spring and 93.9% in winter
• Data is openly shared under a CC-BY-4.0 license

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The dataset is very small at 5.5 KB, indicating limited scope

Provenance

Source

figshare, authored by Xuanyu Shen

Collection Method

Likely derived from Landsat 8 surface reflectance data processed with the proposed SCSCTS correction method.

Time Range

Spring and winter conditions, specific years not stated.

Freshness

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

Geography

Karst mountainous region in Guizhou, China.