...
首页> 外文期刊>Journal of Glaciology >A comparison of supraglacial lake observations derived from MODIS imagery at the western margin of the Greenland ice sheet
【24h】

A comparison of supraglacial lake observations derived from MODIS imagery at the western margin of the Greenland ice sheet

机译:格陵兰冰原西缘MODIS影像的湖上湖泊观测结果比较

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Supraglacial lakes (SGLs) affect the dynamics of the Greenland ice sheet by storing runoff and draining episodically. We investigate the evolution of SGLs as reported in three datasets, each based on automated classification of satellite imagery. Although the datasets span the period 2001-10, there are differences in temporal sampling, and only the years 2005-07 are common. By subsampling the most populous dataset, we recommend a sampling frequency of one image per 6.5 days in order to minimize uncertainty associated with poor temporal sampling. When compared with manual classification of satellite imagery, all three datasets are found to omit a sizeable (29, 48 and 41 %) fraction of lakes and are estimated to document the average size of SGLs to within 0.78, 0.48 and 0.95 km~2. We combine the datasets using a hierarchical scheme, producing a single, optimized, dataset. This combined record reports up to 67% more lakes than a single dataset. During 2005-07, the rate of SGL growth tends to follow the rate at which runoff increases in each year. In 2007, lakes drain earlier than in 2005 and 2006 and remain absent despite continued runoff. This suggests that lakes continue to act as open surface-bed conduits following drainage.
机译:冰川上湖泊(SGL)通过储存径流和流失排水来影响格陵兰冰原的动力学。我们调查了三个数据集中报告的SGL的演变,每个数据集均基于卫星图像的自动分类。尽管数据集的时间跨度为2001-10年,但时间采样有所不同,只有2​​005-07年是常见的。通过对人口最多的数据集进行二次采样,我们建议每6.5天采样一次图像,以最大程度地减少与时间采样差有关的不确定性。与手动分类的卫星图像相比,发现这三个数据集都忽略了相当大的湖泊部分(29%,48%和41%),据估计它们记录了SGL的平均大小在0.78、0.48和0.95 km〜2之内。我们使用分层方案组合数据集,从而生成单个优化的数据集。该综合记录报告的湖泊比单个数据集多出67%。在2005-07年期间,SGL的增长率趋向于跟随每年径流量增加的速度。 2007年,湖泊的排水时间早于2005年和2006年,尽管径流持续存在,但仍然没有。这表明湖泊在排水后仍继续充当开放的表层管道。

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