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A comparison and validation of satellite-derived fire severity mapping techniques in fire prone north Australian savannas: Extreme fires and tree stem mortality

机译:卫星衍生火灾严重程度映射技术的比较与验证火灾北部澳大利亚大草原:极端火灾和树干死亡率

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Severe fires in tropical savanna systems are recognised as incurring significant impacts on a variety of ecological attributes, including woody vegetation structure and greenhouse gas emissions. However, knowledge of the frequency and extent of severe fires is restricted given challenges associated with the development of reliable remotely sensed mapping procedures. This study takes advantage of three wildfires, 900-5300 km(2) in extent, containing very severely affected areas, occurring in semi-evergreen, eucalypt-dominated, tropical Australian savanna, which resulted in significant areas of complete canopy scorch, very significant tree stem mortality (24-55%), and associated loss of living above ground biomass (47-69%) at respective sites. Although increased map scale is generally considered to improve the reliability of fire severity mapping, our analysis found 90% agreement between Landsat and MODIS-derived burnt area mapping, and 80% for binary (severe vs. non severe) fire severity mapping. Mapping of internal fire (unburnt) patchiness was enhanced with finer resolution Landsat imagery, but the much longer orbital return cycle precluded its use at two of the three sites given extended cloudy conditions. Application of an automated MODIS-derived fire severity mapping algorithm (overall reliability in 2015 = 75%) calibrated for generalised north Australian savanna conditions, suggests that 15% and 12% of Australia's 1.3 M km(2) tropical savannas region were burnt by severe fires in 2015 and 2016, respectively. The study illustrates the potential for MODIS-derived fire severity mapping, the impacts of very severe fires on stand structure, and ongoing challenges associated with deriving reliable fire severity mapping products in Australian savanna systems.
机译:热带大草原系统中的严重火灾被认为是对各种生态属性产生重大影响,包括木质植被结构和温室气体排放。然而,对严重火灾的频率和程度的了解受到与可靠的远程感测映射程序的发展相关的挑战。这项研究利用了三个野火,900-5300公里(2),在某种程度上含有非常严重的受影响的地区,在半常青树,桉树统治,热带澳大利亚大草原中发生,这导致了完全冠层的重要区域,非常重要树干死亡率(24-55%),并在各地的地下生物量(47-69%)的相关丧失。虽然通常被认为增加了地图规模,以提高火灾严重程度映射的可靠性,但我们的分析找到了我们的分析& Landsat和Modis衍生的烧焦区域测绘和GT之间的90%协议。二元(严重与非严重)火灾严重程度映射的80%。内部火灾(UNBurnt)拼接的映射与更精细的分辨率Landsat图像增强,但轨道返回周期更长的速度较长,这是在给定延长多云条件的三个站点中的两个站点中使用的。应用自动模型衍生的火灾严重程度映射算法(2015年整体可靠性= 75%)校准了广义北澳大利亚大草原条件的校准,表明澳大利亚1.3米(2)澳大利亚的15%和12%的热带大草原地区被严重烧毁2015年和2016年的火灾分别。该研究说明了Modis衍生的火灾严重程度映射的可能性,非常严重的火灾对立场结构的影响,以及与澳大利亚大草原系统中可靠的火灾严重程度映射产品相关的持续挑战。

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