...
首页> 外文期刊>Oceanographic Literature Review >Seasonal evolution of L-band SAR backscatter over landfast Arctic sea ice
【24h】

Seasonal evolution of L-band SAR backscatter over landfast Arctic sea ice

机译:L波段SAR反向散射在陆地北极海冰的季节性演变

获取原文
获取原文并翻译 | 示例
           

摘要

We construct and present the first baseline, time series evolution of L-band SAR microwave backscatter (σ_(HH)~0) for landfast Arctic first-year (FYI) and multi-year (MYI) sea ice from ALOS PAL-SAR. We compare the winter to freeze-up seasonal L-band σ_(HH)~0 signatures with C-band RADARSAT-2 SAR imagery and Ku-band QuikSCAT scatterometer data. We also explored the utility of L-band σ_(HH)~0 to detect FYI and MYI melt onset dates. For both ice types, L-band exhibited a similar σ_(HH)~0 evolution to C- and Ku-bands. A rise in L-band σ_(HH)~0 was observed from winter to melt onset, however, with a lower magnitude attributed to the larger penetration of L-band microwaves through the snow-covered sea ice medium. Over FYI, L-band σ_(HH)~0 exhibited the most robust response and greater diversity in melt onset signature, compared to C- and Ku-bands. Over MYI, L-band σ_(HH)~0 declined during the winter to melt onset transition contrasting the C- and Ku-band evolution of σ_(HH)~0 during melt onset. Although, a distinct L-band σ_(HH)~0 response was not found during pond onset, a very strong σ_(HH)~0 response was found during sea ice break-up, which could operationally be utilized to identify sea ice break-up timing. During freeze-up, L-band σ_(HH)~0 showed greater diversity compared to C-and Ku-bands. Our study also found that, L-band detected melt onset dates were up to 6 days later than C- and Ku-band detected dates, for both ice types. The melt response was the strongest at L-band for FYI, where C-band detected a robust melt onset date for MYI. Therefore, for operational sea ice monitoring, L-band suits better for FYI, whereas C-band is still a better choice for MYI. In the wanning Arctic, where FYI has become the dominant ice type, L-band demonstrates promise to be the optimal choice for sea ice operational monitoring with high spatiotemporal data acquisition from existing, upcoming and proposed L-band SAR missions.
机译:我们构建并呈现了第一个基线,L频段SAR微波反向散射(Σ_(HH)〜0)的时间序列演变为陆地北极第一年(FYI)和来自Alos Pal-Sar的多年(Myi)海冰。我们将冬季与冻结季节性L频段σ_(hh)〜0与c频段雷达拉特-2 sar图像和ku频带quikscat散射计数据进行比较。我们还探索了L频段Σ_(HH)〜0的效用来检测FYI和Myi Melt发病日期。对于两种冰类型,L波段向C和KU和KU带显示出类似的σ_(hh)〜0演化。从冬季观察到L频带σ_(HH)〜0的升高,然而,较低的幅度归因于通过积雪覆盖的海冰介质的L波段微波渗透。在FYI上,与C和KU频段相比,L频带Σ_(HH)〜0展示了熔体发病签名中最强大的响应和更大的多样性。在Myi上,L频带σ_(hh)〜0在冬季下降,以熔化起步转变对比熔体发作期间σ_(hh)〜0的c-和ku波段演变的转变。虽然,在池塘开始期间未发现不同的L频带σ_(HH)〜0响应,但在海冰分手期间发现了一个非常强烈的σ_(hh)〜0响应,这可以在操作上用于识别海冰突破-UP时间。在冻结期间,与C-and Ku带相比,L波段σ_(hh)〜0显示出更大的多样性。我们的研究还发现,对于两种冰类型,L波段检测到的熔体开始日期最长可达6天。熔体反应是FYI的L波段最强的,其中C波段检测到MyI的强大熔体发作日期。因此,对于运营海冰监测,L波段适合FYI,而C-Band仍然是Myi的更好选择。在WANNING arctic中,FYI已成为主导冰型,L-BAND展示了承诺,以现有,即将到来的,提出的L-BAND SAR任务,具有高时尚数据采集的海冰操作监测的最佳选择。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号