Built-Up Area Extraction in Semi-Arid Regions Using Sentinel-2A Imagery

作者：anonyme, anonyme · 发表于：Zenodo (CERN European Organization for Nuclear Research) · 年份：2028 · DOI：10.5281/zenodo.17968633 · 研究领域：Remote sensing、Computer science、Artificial intelligence、Data mining

This dataset contains the maps and result tables currently under review, which focus on built-up area extraction using Sentinel-2A imagery. The dataset includes classified maps generated from spectral index combinations and PCA-based approaches, as well as tables summarizing accuracy assessment results, correlation analysis among selected indices, and basic statistical metrics. The data were produced for a semi-arid study area and are intended to support transparency, reproducibility, and further comparison of urban extraction methods based on multispectral remote sensing data.