Development of a New Vegetation Volume Index Using Remote Sensing for Temporal Monitoring of River Vegetation Changes

Key Points

• To develop a new vegetation volume index that can accurately monitor changes in river vegetation over time using remote sensing data.
• Utilized satellite remote sensing data including synthetic aperture radar and multispectral data.
• Applied the new vegetation index to satellite data from four time points between 2017 and 2024.
• Analyzed variations in the index values across different vegetation types and years.
• The vegetation index effectively captures the three-dimensional structure of vegetation.
• Significant differences were identified among bamboo, forest, and grassland types.
• The index showed an increasing trend corresponding to the transition from grassland to woody and bamboo species.