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Satellite Active Fire Product Validation Using High Spatial Resolution Reference Data

机译:使用高空间分辨率参考数据的卫星主动火产品验证

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Current satellite active fire products provide a snapshot of biomass burning activity at regional to global scales. In order to assess the performance of those products, it is important to: (i) have near-coincident reference data to avoid validation artefacts due to short-term variations in fire conditions; and (ii) to be able to represent the entire active fire line and adjacent smouldering areas, as well as the surrounding fire-free background that will normally be used by contextual fire algorithms in the classification of a fire pixel. In this study, we present the results from the global scale assessment of the EOS/Terra MODIS lkm active fire product (MOD14) based on the use of near-coincident 30m Landsat-dass reference data. The validation methodology is also demonstrated for other fire products, with a focus on the next generation NPP/VTIRS and GOES-R/ABI pre- and post-launch active fire validation plans using Landsat-dass and airborne reference data.
机译:当前的卫星活性火产品提供了区域乃至全球范围内生物质燃烧活动的快照。为了评估这些产品的性能,重要的是:(i)具有接近一致的参考数据,以避免由于火灾情况的短期变化而导致的验证伪像; (ii)能够代表整个活动的火线和相邻的闷燃区域,以及周围的无火背景,背景火算法通常将其用于火象素的分类。在这项研究中,我们基于使用近乎一致的30m Landsat-dass参考数据,对EOS / Terra MODIS lkm主动火产品(MOD14)进行全球规模评估得出的结果。该验证方法还针对其他消防产品进行了演示,重点是使用Landsat-dass和机载参考数据的下一代NPP / VTIRS和GOES-R / ABI发射前和发射后主动火灾验证计划。

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