首页> 外文期刊>The Cryosphere >Mapping potential signs of gas emissions in ice of Lake Neyto, Yamal, Russia, using synthetic aperture radar and multispectral remote sensing data
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Mapping potential signs of gas emissions in ice of Lake Neyto, Yamal, Russia, using synthetic aperture radar and multispectral remote sensing data

机译:使用合成孔径雷达和多光谱遥感数据绘制湖泊冰冰中气体排放的潜在迹象

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Regions of anomalously low backscatter in C-band synthetic aperture radar (SAR) imagery of lake ice of Lake Neyto in northwestern Siberia have been suggested to be caused by emissions of gas (methane from hydrocarbon reservoirs) through the lake’s sediments. However, to assess this connection, only analyses of data from boreholes in the vicinity of Lake Neyto and visual comparisons to medium-resolution optical imagery have been provided due to a lack of in situ observations of the lake ice itself. These observations are impeded due to accessibility and safety issues. Geospatial analyses and innovative combinations of satellite data sources are therefore proposed to advance our understanding of this phenomenon. In this study, we assess the nature of the backscatter anomalies in Sentinel-1 C-band SAR images in combination with very high resolution (VHR) WorldView-2 optical imagery. We present methods to automatically map backscatter anomaly regions from the C-band SAR data (40?m pixel spacing) and holes in lake ice from the VHR data (0.5?m pixel spacing) and examine their spatial relationships. The reliability of the SAR method is evaluated through comparison between different acquisition modes. The results show that the majority of mapped holes (71?%) in the VHR data are clearly related to anomalies in SAR imagery acquired a few days earlier, and similarities to SAR imagery acquired more than a month before are evident, supporting the hypothesis that anomalies may be related to gas emissions. Further, a significant expansion of backscatter anomaly regions in spring is documented and quantified in all analysed years 2015 to 2019. Our study suggests that the backscatter anomalies might be caused by lake ice subsidence and consequent flooding through the holes over the ice top leading to wetting and/or slushing of the snow around the holes, which might also explain outcomes of polarimetric analyses of auxiliary L-band Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar-2 (PALSAR-2) data. C-band SAR data are considered to be valuable for the identification of lakes showing similar phenomena across larger areas in the Arctic in future studies.
机译:在西伯利亚西北部湖北部湖冰湖中的异常低反向散射雷达(SAR)图像的地区已建议通过湖泊沉积物的气体排放(来自碳氢化合物储层)的排放引起的。然而,为了评估这一联系,由于缺乏湖冰本身的原位观察,因此仅提供了从奈目湖附近的钻孔和中学光学图像的视觉比较分析。由于可访问性和安全问题,阻碍了这些观察结果。因此提出了地理空间分析和卫星数据源的创新组合,以推动我们对这种现象的理解。在这项研究中,我们与非常高分辨率(VHR)WorldView-2光学图像结合使用Hentinel-1 C波段SAR图像中的反向散射异常的性质。我们提出了从VHR数据(0.5?M像素间隔)的C波段SAR数据(40?M像素间距)和湖冰中的漏洞上映射反向散射异常区域的方法(0.5?M像素间隔)并检查它们的空间关系。通过不同采集模式之间的比较来评估SAR方法的可靠性。结果表明,VHR数据中的大多数映射孔(71?%)明显与SAR Imagery中的异常有关,并在几天前收购了SAR Imagery的相似之处是令人明显的,支持这个假设异常可能与天然气排放有关。此外,在2015年至2019年的所有分析的年份,春季反散射异常区域的显着扩增是有记录和量化的。我们的研究表明,后散射异常可能是由湖沉陷沉降和随着冰层上的漏洞洪水引起的。和/或围绕孔的雪浸,这也可以解释辅助L波段高级陆地观察卫星(ALOS)相控阵型L波段合成孔径雷达-2(PALSAR-2)数据的偏振分析结果。 C频段SAR数据被认为是有价值的,对于在未来的研究中识别出现在北极地区的较大区域中的类似现象的湖泊。

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