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Spatial evaluation of Indonesia's 2015 fire-affected area and estimated carbon emissions using Sentinel-1

机译:印度尼西亚2015年抗火区的空间评估和使用Sentinel-1的估计碳排放

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Fires raged once again across Indonesia in the latter half of 2015, creating a state of emergency due to poisonous smoke and haze across Southeast Asia as well as incurring great financial costs to the government. A strong El Nino-Southern Oscillation (ENSO) led to drought in many parts of Indonesia, resulting in elevated fire occurrence comparable with the previous catastrophic event in 1997/1998. Synthetic Aperture Radar (SAR) data promise to provide improved detection of land use and land cover changes in the tropics as compared to methodologies dependent upon cloud- and haze-free images. This study presents the first spatially explicit estimates of burned area across Sumatra, Kalimantan, and West Papua based on high-resolution Sentinel-1A SAR imagery. Here, we show that 4,604,569 hectares (ha) were burned during the 2015 fire season (overall accuracy 84%), and compare this with other existing operational burned area products (MCD64, GFED4.0, GFED4.1s). Intersection of burned area with fine-scale land cover and peat layer maps indicates that 0.89gigatons carbon dioxide equivalents (GtCO(2)e) were released through the fire event. This result is compared to other estimates based on nonspatially explicit thermal anomaly measurements or atmospheric monitoring. Using freely available SAR C-band data from the Sentinel mission, we argue that the presented methodology is able to quickly and precisely detect burned areas, supporting improvement in fire control management as well as enhancing accuracy of emissions estimation.
机译:在2015年下半年,印度尼西亚再次肆虐的火灾,由于东南亚的毒烟和阴霾,以及对政府产生的巨大财务成本,创造了紧急状态。强大的El Nino-Southern振荡(ENSO)导致印度尼西亚许多地区的干旱,导致火灾发生升高,与前一个灾难性发生在1997/1998年。合成孔径雷达(SAR)数据承诺在与取决于无云和阴霾图像的方法相比,提供了改进的土地利用和土地利用变化的检测。本研究介绍了基于高分辨率哨因-1A SAR图像的苏门答腊舞,卡利凡丹和西巴布亚的第一次空间明确估计。在这里,我们展示了4,604,569公顷(HA)在2015年火季(总体精度84%)燃烧,并将其与其他现有的运营烧毁区域产品(MCD64,GFED4.0,GFED4.1)进行比较。具有微尺度覆盖和泥炭层图的烧毁区域表明0.89Gigatons二氧化碳等同物(GTCO(2))通过火灾事件释放。将该结果与基于非缺斑明确的热异常测量或大气监测的其他估计进行比较。从Sentinel任务中使用自由的SAR C-BAND数据,我们认为所提出的方法能够快速,精确地检测烧毁区域,支持灭火管理的改善以及提高排放估计的准确性。

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