Mapping corroded and non-corroded roofs with worldview-3 imagery: A study of semi-permanent buildings in fire-prone urban areas

Q2 Environmental Science
Faris Ade Irawan , Projo Danoedoro , Nur Mohammad Farda
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引用次数: 0

Abstract

Rapid urbanization in the West Banjarmasin District, Banjarmasin City, South Kalimantan Province, Indonesia, has led to the expansion of dense informal settlements, where semi-permanent housing with vulnerable roofing materials significantly increases fire risk and hampers emergency response efforts. To address this issue, this study investigates whether remote sensing techniques can effectively differentiate building roof types, particularly corroded and non-corroded corrugated iron roofing commonly used in fire-prone structures. The Normalized Difference Iron Oxide Index (NDIOI), formulated as (NIR2 – Blue) / (NIR2 + Blue), was applied using very high-resolution WorldView-3 imagery (0.5 m) to detect spectral signatures of roof degradation. A total of 200 surface reflectance samples (100 corroded, 100 non-corroded) were used to calibrate and validate NDIOI through threshold-based binary classification (threshold = 0.1). Validation demonstrated strong performance, with accuracy of 93.0 %, precision of 100 %, recall of 86.0 %, and an F1-score of 92.5 %. Additionally, spatial overlay between NDIOI-classified zones and verified fire incident data acquired during the same time frame as the 2021 imagery revealed a strong spatial correlation between high NDIOI values and actual fire-prone areas.
用worldview-3图像绘制腐蚀和非腐蚀屋顶:火灾多发城市地区半永久性建筑的研究
印度尼西亚南加里曼丹省班贾尔马辛市西班贾尔马辛区的快速城市化导致密集的非正式住区扩大,其中屋顶材料脆弱的半永久性住房大大增加了火灾风险,并妨碍了应急工作。为了解决这一问题,本研究调查了遥感技术是否可以有效地区分建筑屋顶类型,特别是经常用于火灾易发结构的腐蚀和非腐蚀波纹铁屋顶。归一化氧化铁指数(NDIOI)表示为(NIR2 - Blue) / (NIR2 + Blue),使用非常高分辨率的WorldView-3图像(0.5 m)来检测屋顶退化的光谱特征。通过基于阈值的二值分类(阈值= 0.1),共使用200个表面反射率样品(100个腐蚀样品,100个未腐蚀样品)来校准和验证NDIOI。验证结果表明,该方法的准确率为93.0%,精密度为100%,召回率为86.0%,f1分数为92.5%。此外,在与2021年图像相同的时间框架内获取的NDIOI分类区域和经过验证的火灾事件数据之间的空间叠加显示,高NDIOI值与实际火灾易发区域之间存在很强的空间相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Environmental Challenges
Environmental Challenges Environmental Science-Environmental Engineering
CiteScore
8.00
自引率
0.00%
发文量
249
审稿时长
8 weeks
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