用AI结合卫星图像，精准识别巴基斯坦砖窑污染源
Brick Kiln Dataset for Pakistan's IGP Region Using AI
- 融合低/高分辨率卫星图，用AI定位砖窑
- 发现约1.1万座实际砖窑，准确率显著提升
- 区分窑型助力精准控污，适合环保监管者
砖窑是巴基斯坦空气污染的主要来源之一，许多处于无监管状态。在巴基斯坦及整个印度-恒河平原地区，空气质量监测覆盖有限，污染源数据透明度不足。为此，我们提出一种双阶段人工智能方法，结合低分辨率哨兵-2影像与高分辨率影像，用于地图标注砖窑位置。流程始于低分辨率分析，随后通过后处理减少误报，降低对高分辨率影像的依赖。初步识别出20,000个潜在砖窑，经高分辨率验证确认约11,000座。该数据集还区分固定烟囱型与蛇形砖窑，支持按类型估算污染排放。本方法展示了利用卫星影像与AI有效识别特定污染源的潜力，为监管机构提供未注册窑炉分布与重污染期应对依据。
原文摘要 · Abstract (English)
Brick kilns are a major source of air pollution in Pakistan, with many operating without regulation. A key challenge in Pakistan and across the Indo-Gangetic Plain is the limited air quality monitoring and lack of transparent data on pollution sources. To address this, we present a two-fold AI approach that combines low-resolution Sentinel-2 and high-resolution imagery to map brick kiln locations. Our process begins with a low-resolution analysis, followed by a post-processing step to reduce false positives, minimizing the need for extensive high-resolution imagery. This analysis initially identified 20,000 potential brick kilns, with high-resolution validation confirming around 11,000 kilns. The dataset also distinguishes between Fixed Chimney and Zigzag kilns, enabling more accurate pollution estimates for each type. Our approach demonstrates how combining satellite imagery with AI can effectively detect specific polluting sources. This dataset provides regulators with insights into brick kiln pollution, supporting interventions for unregistered kilns and actions during high pollution episodes.
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