• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

锡金喜马拉雅山脉泽穆冰川积雪/冰盖表面积变化检测

Surface area change detection of snow/ice cover over Zemu Glacier of Sikkim Himalaya.

作者信息

Mukherjee Nikita Roy, Krishna A P

机构信息

Department of Remote Sensing, Birla Institute of Technology, Mesra, Jharkhand, 835215, India.

出版信息

Environ Monit Assess. 2023 Apr 26;195(5):611. doi: 10.1007/s10661-023-11139-3.

DOI:10.1007/s10661-023-11139-3
PMID:37099223
Abstract

This study assessed the snow/ice surface area changes over the Zemu Glacier in the Eastern Himalayas. Zemu is considered to be the largest glacier in the Eastern Himalayas located in the Sikkim State of India. Change detection in the snow/ice surface areal extent of the Zemu Glacier was delineated from the year 1945 using US Army Map Service-Topographical Sheets and Landsat imageries available from 1987 to 2020. The results obtained solely focus on surface-change delineation using remote sensing satellite data and GIS software. Landsat imagery of the years 1987, 1997, 2009, 2018, and 2020 was used for snow and ice pixel extraction. Normalized Difference Snow Index (NDSI), Snow Cover Index (S3), and new band ratio index were used to extract the pure snow and ice pixels, fresh snow, and debris-covered snow/ice area and pixels mixed with shadow to demarcate the surface area changes. Manual delineation was required and undertaken for better results. A slope raster image was generated from Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) data to delineate the slope and hill shade. The results illustrate that the snow/ice surface covering the glacier had an area of 113.5 km in the year 1945 which was reduced to 78.31 km in the year 2020 indicating a total snow/ice surface area loss of 31% in 75 years. A loss of 11.45% was observed from 1945 to 1987 in the areal extent, while from 1987 to 2009, a decadal loss of approximately 7% was observed. The surface area loss of 8.46% from 2009 to 2018 led to infer the maximum loss of snow and ice over the glacier body at a rate of 0.94% per year. Between the years 2018 and 2020, the glacier lost 1.08% of its surface area. The Accumulation Area Ratio (AAR) considering the accumulation and ablation areas of the glacier indicated a gradual decline of the accumulation zone in the recent years. Global Land Ice Measurement from Space (GLIMS) program data with RGI version 6.0 was used as a reference to demarcate the areal extent of Zemu Glacier. The study gained above 80% of overall accuracy by generating a confusion matrix in ArcMap. The analysis of this seasonal snow/ice cover showed that there has been a drastic decline in the surface snow/ice cover area over the Zemu Glacier over the years 1987 to 2020 and NDSI; S3 analysis provided improved results to delineate snow/ice cover area over such steep terrain topography of Sikkim Himalaya.

摘要

本研究评估了东喜马拉雅地区则普冰川的冰雪表面积变化。则普冰川被认为是位于印度锡金邦的东喜马拉雅地区最大的冰川。利用美国陆军地图服务局的地形图以及1987年至2020年的陆地卫星影像,对则普冰川1945年以来的冰雪表面积范围进行了变化检测。所获结果仅聚焦于利用遥感卫星数据和地理信息系统软件进行地表变化描绘。使用了1987年、1997年、2009年、2018年和2020年的陆地卫星影像来提取冰雪像素。利用归一化差异雪指数(NDSI)、积雪指数(S3)和新的波段比率指数来提取纯冰雪像素、新雪、碎屑覆盖的冰雪区域以及与阴影混合的像素,以划定表面积变化。为获得更好的结果,需要并进行了人工描绘。利用航天飞机雷达地形测绘任务(SRTM)数字高程模型(DEM)数据生成了坡度栅格图像,以描绘坡度和山体阴影。结果表明,1945年覆盖该冰川的冰雪表面积为113.5平方千米,到2020年减少至78.31平方千米,表明75年间冰雪表面积总共损失了31%。1945年至1987年期间,面积范围损失了11.45%,而1987年至2009年期间,十年间损失约7%。2009年至2018年表面积损失8.46%,由此推断冰川主体上的冰雪损失最大,年损失率为0.94%。2018年至2020年期间,该冰川损失了1.08%的表面积。考虑到冰川的积累区和消融区的积累面积比率(AAR)表明,近年来积累区在逐渐缩小。使用全球陆地冰面卫星测量(GLIMS)计划数据和RGI 6.0版本来划定则普冰川的面积范围。通过在ArcMap中生成混淆矩阵,该研究获得了80%以上的总体准确率。对这种季节性冰雪覆盖的分析表明,1987年至2020年期间,则普冰川的地表冰雪覆盖面积急剧下降,且NDSI;S3分析为描绘锡金喜马拉雅这种陡峭地形上的冰雪覆盖面积提供了更好的结果。

相似文献

1
Surface area change detection of snow/ice cover over Zemu Glacier of Sikkim Himalaya.锡金喜马拉雅山脉泽穆冰川积雪/冰盖表面积变化检测
Environ Monit Assess. 2023 Apr 26;195(5):611. doi: 10.1007/s10661-023-11139-3.
2
Climatic and topographic controls on glacial changes (1973-2020) in Shigar Basin, Central Karakoram, Northern Pakistan.巴基斯坦北部喀喇昆仑中部 Shigar 流域(1973-2020 年)冰川变化的气候和地形控制因素。
Environ Sci Pollut Res Int. 2023 Jun;30(30):74889-74899. doi: 10.1007/s11356-023-27648-0. Epub 2023 May 20.
3
On periodic growth and shrinkage of glaciers in the Warwan sub-basin, western Himalaya, between 1990 and 2020.在 1990 年至 2020 年间,西喜马拉雅山 Warwan 次盆地的冰川出现了周期性的生长和收缩。
Environ Monit Assess. 2023 Feb 13;195(3):390. doi: 10.1007/s10661-023-10958-8.
4
On the strongly imbalanced state of glaciers in the Sikkim, eastern Himalaya, India.关于印度喜马拉雅山脉东部锡金邦冰川的严重失衡状态。
Sci Total Environ. 2019 Nov 15;691:16-35. doi: 10.1016/j.scitotenv.2019.07.086. Epub 2019 Jul 8.
5
Application of "OTSU"-an image segmentation method for differentiation of snow and ice regions of glaciers and assessment of mass budget in Chandra basin, Western Himalaya using Remote Sensing and GIS techniques.应用“OTSU”图像分割方法区分喜马拉雅山西部昌德拉盆地冰川的冰雪区,并利用遥感和 GIS 技术评估物质平衡。
Environ Monit Assess. 2022 Apr 7;194(5):337. doi: 10.1007/s10661-022-09945-2.
6
Multitemporal analysis of forest fragmentation in Hindu Kush Himalaya-a case study from Khangchendzonga Biosphere Reserve, Sikkim, India.兴都库什喜马拉雅地区森林破碎化的多时相分析——以印度锡金邦干城章嘉峰生物圈保护区为例
Environ Monit Assess. 2016 Oct;188(10):596. doi: 10.1007/s10661-016-5577-8. Epub 2016 Sep 29.
7
Long-term annual and seasonal mass balance reconstruction and sensitivity analysis of Chhota Shigri Glacier in Western Himalaya.西喜马拉雅山 Chhota Shigri 冰川的长期年际和季节性质量平衡重建及敏感性分析。
Environ Sci Pollut Res Int. 2024 Jan;31(3):4910-4924. doi: 10.1007/s11356-023-31537-x. Epub 2023 Dec 18.
8
Estimation of snow and glacier melt contribution to Liddar stream in a mountainous catchment, western Himalaya: an isotopic approach.喜马拉雅山西部山区流域内积雪和冰川融水对利德河的贡献估算:一种同位素方法。
Isotopes Environ Health Stud. 2017 Mar;53(1):18-35. doi: 10.1080/10256016.2016.1186671. Epub 2016 May 31.
9
Classification of glacier with supervised approaches using PolSAR data.基于 PolSAR 数据的监督分类方法对冰川的分类。
Environ Monit Assess. 2022 Nov 3;195(1):58. doi: 10.1007/s10661-022-10582-y.
10
Satellite-observed glacier recession in the Kashmir Himalaya, India, from 1980 to 2018.卫星观测到的印度克什米尔喜马拉雅山地区的冰川退缩情况,时间范围为 1980 年至 2018 年。
Environ Monit Assess. 2020 Aug 24;192(9):597. doi: 10.1007/s10661-020-08554-1.