ABSTRACT Coarse spatial resolution of remote sensing imagery still hampers a comprehensive representation of long-term fire patterns at the regional level, in particular in areas characterized by small and sparse fire scars. The Visible Infrared Imaging Radiometer Suite (VIIRS) sensor launched in 2011 upgrades the spatial resolution (375 m) and gives continuity to the Earth long-term monitoring initiated by Advanced Very High-Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (MODIS) sensors. Therefore, aiming to assess VIIRS 375 m imagery capabilities to improve the accuracy and reliability of fire scars mapping over the Brazilian Cerrado, we developed a burned area detection algorithm (VIIRS-SVM) based on machine learning techniques. For this purpose, the (V, W) burnt index adjusted to VIIRS near-infrared and middle-infrared channels and the One-Class Support Vector Machine algorithm were used for burned area identification. The VIIRS-SVM algorithm was applied over the Brazilian Cerrado and evaluated against reference scars from 15 Landsat-8 scenes during the fire season of 2015, covering a large area with substantial variability in terms of fire scars characteristics. We also performed a comparison with the MCD64A1 collection-6 product over the validation sites. Relying on VIIRS 375 m imagery, the VIIRS-SVM algorithm allows an enhancement of 25% in discrimination of small and medium fire scars (25 to 1000 ha), when compared to the MODIS-derived product. Results have demonstrated that the enhancement of medium and small fire scars mapping over the Cerrado is possible using VIIRS sensor capabilities.

中文翻译：

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评估 VIIRS 能力以改进巴西塞拉多的燃烧区域测绘

摘要 遥感影像的粗空间分辨率仍然阻碍了区域层面长期火灾模式的综合表征，特别是在火痕小而稀疏的地区。2011 年推出的可见红外成像辐射计套件 (VIIRS) 传感器升级了空间分辨率 (375 m)，并为由高级甚高分辨率辐射计 (AVHRR) 和中分辨率成像光谱仪 (MODIS) 发起的地球长期监测提供了连续性传感器。因此，为了评估 VIIRS 375 m 成像能力以提高巴西塞拉多上火痕映射的准确性和可靠性，我们开发了一种基于机器学习技术的燃烧区域检测算法 (VIIRS-SVM)。为此，(V, W) 烧伤指数调整为 VIIRS 近红外和中红外通道，使用一类支持向量机算法进行烧伤区域识别。VIIRS-SVM 算法应用于巴西塞拉多，并根据 2015 年火灾季节期间 15 个 Landsat-8 场景的参考疤痕进行评估，覆盖了大面积的火灾疤痕特征变化很大。我们还在验证站点上与 MCD64A1 collection-6 产品进行了比较。与 MODIS 衍生产品相比，VIIRS-SVM 算法依赖于 VIIRS 375 m 图像，可将中小型火灾疤痕（25 至 1000 公顷）的辨别力提高 25%。结果表明，使用 VIIRS 传感器功能可以增强 Cerrado 上的中小型火痕映射。