Comparative analysis of spectral indices for building detection based on Sentinel-2 satellite images

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Comparative analysis shows varied sensitivity in spectral indices for building detection in urban areas, indicating seasonal challenges.

Building detection improved using modified spectral indices, with optimized results achieved during summer months.
Winter conditions caused a high number of false positives, primarily due to snow coverage affecting index sensitivity.
The study involved multispectral analysis from Sentinel-2 images across four seasons to assess index performance.
Finding reliable methods for classification ensures better urban area identification, especially in challenging environmental conditions.

Ilienko et al. (2025) studied this question.

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