Enhancing Urban Land Use/Land Cover Classification Through the Synergistic Use of Multiple Spectral Indices: a Case Study of Kyiv, Ukraine

Key Points

• Improved urban land use and land cover classification was achieved using multiple spectral indices, indicating better accuracy.
• Key evidence showed a significant increase in classification accuracy of 15% when utilizing a combination of indices.
• The approach involved analysis of remote sensing data to refine land cover classifications, which is essential for urban planning.
• This method highlights the potential for advanced techniques in urban studies to inform future land management strategies.