...
首页> 外文期刊>International journal of remote sensing >Delineation of glacial zones of Gangotri and other glaciers of Central Himalaya using RISAT-1C-band dual-pol SAR
【24h】

Delineation of glacial zones of Gangotri and other glaciers of Central Himalaya using RISAT-1C-band dual-pol SAR

机译:使用RISAT-1C波段双极化SAR划定Gangotri和喜马拉雅中部其他冰川的冰川带

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

The Himalayan glaciers, being unique in nature, need more detailed study over their evolution in the Himalayan glacial zones. A methodology has been developed using two-dimensional signatures from synthetic aperture radar (SAR) C-band dual-polarized data. A linear decision rule-based model has been generated using the signatures and the result further filtered by the use of a digital elevation model (DEM) to delineate glacial zones in the Himalayas. The advantage of using cross-polarized data is the addition of extra information from the volume of the glacial mass. Some important prerequisites for the analysis are SAR image ortho-rectification and calibration, glacier boundary delineation, and the development of sites for collecting SAR backscattering signatures from glaciers along the profile. The study deals with the evolution of glacial snow cover and glacial zones/facies in the Himalayan region under a subtropical humid climate from the ablation to the accumulation season. SAR images from 15 July 2012 to 30 June 2013 over the Gangotri and Mana glaciers were evaluated with the developed model. The identification of a superimposed zone during the ablation season is among the key results. The identified snowlines and other boundaries of glacial facies are studied on a temporal scale. The highest snowline altitude of Mana was recorded at 5768 and 5194 m for the Gangotri glacier in 2012. SAR data are also important in identifying glacial zones buried under winter snow cover. The results obtained are useful in regard to further glaciological studies of the Himalayan glaciers.
机译:喜马拉雅冰川在自然界中是独一无二的,需要对其在喜马拉雅冰川带中的演化进行更详细的研究。已经使用来自合成孔径雷达(SAR)C波段双极化数据的二维签名开发了一种方法。使用签名生成了基于线性决策规则的模型,并通过使用数字高程模型(DEM)描绘了喜马拉雅山的冰川带,进一步过滤了结果。使用交叉极化数据的优点是从冰川块的体积中添加了额外的信息。分析的一些重要先决条件是SAR图像正射校正和校准,冰川边界定界以及沿剖面从冰川收集SAR背向散射特征的站点的发展。该研究涉及从消融到积聚季节的亚热带湿润气候下喜马拉雅地区冰川积雪和冰川带/相的演化。使用开发的模型评估了2012年7月15日至2013年6月30日在Gangotri和Mana冰川上的SAR图像。关键的结果之一是在消融季节确定了重叠区域。在时间尺度上研究确定的雪线和冰川相的其他边界。 2012年,甘戈特里冰川的法拉力最高雪线记录为5768和5194m。SAR数据对于识别埋在冬季积雪下的冰川带也很重要。获得的结果对于喜马拉雅冰川的进一步冰川学研究是有用的。

著录项

  • 来源
    《International journal of remote sensing》 |2015年第6期|1529-1550|共22页
  • 作者单位

    Indian Space Res Org, Ctr Space Applicat, Geosci Applicat Grp, Ahmadabad 80015, Gujarat, India;

    Indian Space Res Org, Ctr Space Applicat, Geosci Applicat Grp, Ahmadabad 80015, Gujarat, India;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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