MuSyQ SHG-LCC: A high-resolution global leaf chlorophyll content dataset derived from Sentinel-2 imagery(2023)

However, existing global LCC products, primarily derived from coarse-resolution remote sensing data, are unable to accurately capture the spatiotemporal variations of LCC in heterogeneous regions. Currently, high-resolution global LCC products remain limited, significantly constraining their application at fine scales.

To address this gap, this dataset developed a high-resolution global LCC product (MuSyQ SHG-LCC) with 100-meter/10-day resolution from Sentinel-2 MSI data for the 2019-2023. The dataset was generated using the leaf-scale MERIS Terrestrial Chlorophyll Index (MTCIleaf), which effectively corrects for canopy structural effects on LCC retrieval. Validation results demonstrated that the dataset achieved high retrieval accuracy across various vegetation types, providing important data support for global carbon cycle and ecological research.