利用地理信息学从哨兵 1 号得出的冰层厚度变化推断冰川质量平衡:印度北阿坎德邦冈格特里冰川案例研究

IF 3.8 Q2 ENVIRONMENTAL SCIENCES Remote Sensing Applications-Society and Environment Pub Date : 2024-06-21 DOI:10.1016/j.rsase.2024.101280
Shubham Bhattacharjee, Rahul Dev Garg
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引用次数: 0

摘要

所有冰川都会通过其质量波动来应对气候变化。冰川动力学调查是冰川监测的必要条件。喜马拉雅冰川地处恶劣的地形环境和不适宜居住的地形,因此对冰川的持续观测具有挑战性。冰川面积的收缩或延伸,以及相应的鼻端移动,都可能与冰川质量的摆动有关。这项研究利用哨兵-1 双极化数据集来检索冰川表面速度。通过将冰川划分为 100 米的高度区间,增强了对冰层厚度的估算。此外,还利用 2017 年至 2022 年的冰层厚度变化计算冰川质量平衡,并简要分析了几个冰川区域的结果。研究显示,Gangotri 冰川上方的最大表面速度约为 0.33 米/天,估计平均速度为 0.09 米/天。中央主干的表面速度为 0.12 米/天至 0.23 米/天。此外,在 2017 年至 2022 年期间,地表速度介于 0.19 米/天至 0.35 米/天之间。根据计算,冰川的平均冰层厚度为 189 ± 17.01 米。在阻力最不明显的中部,冰层厚度估计可达 587 ± 52.83 米。在下积聚区和中游,厚度在 2017 年至 2022 年期间呈下降趋势,这可归因于融化加剧和冰川减速。由于冰川运动的增加,主冰川体上的下积聚区及其支流的质量平衡率为-1.3 m.w.e./年至-0.5 m.w.e./年(厚度变化在-3 m/年至-0.6 m/年之间)。在先前研究和现有数据的帮助下,对结果进行了比较和验证。建议的算法和研究结果可作为卫星冰层厚度测量的输入,也可作为即将进行的 NISAR 任务(预计于 2024 年中期完成)的基础研究,该任务将携带 L 波段和 S 波段天线。
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Inferring glacier mass balance from Sentinel-1 derived ice thickness changes using geoinformatics: A case study of Gangotri glacier, Uttarakhand, India

All glaciers respond to climatic changes by fluctuating their mass. Investigations of glacier dynamics are necessary for glacier monitoring. Himalayan glaciers make ongoing glacier observations challenging due to their location in a severe topographic environment and inhospitable terrain. Glacier area contraction or extension, together with a corresponding snout shift, can be linked to oscillations in glacier mass. Sentinel-1 dual-polarized datasets were used in this investigation to retrieve glacier surface velocity. Estimates of ice thickness were enhanced by segmenting the glacier into 100-m height intervals. Also, ice thickness variations between 2017 and 2022 have been used to compute glacier mass balance, and the results for several glacier zones have been briefly analyzed. The study revealed that the maximum surface velocity above Gangotri Glacier was approximately 0.33 m/day, with an estimated average of 0.09 m/day. Surface velocities of the central trunk have been seen to range from 0.12 m/day to 0.23 m/day. Additionally, between 2017 and 2022, the surface velocity was spotted between 0.19 m/day to 0.35 m/day. For the glacier, an average ice thickness of 189 ± 17.01 m was calculated. In the central parts, where the drag was least noticeable, thicknesses up to 587 ± 52.83 m were estimated. In the lower accumulation zone and middle reaches, the thickness was found to be decreasing between 2017 and 2022, which can be attributed to increased melting and glacier slowdown. Due to the increased glacier movement throughout time, the lower accumulation reaches over the main glacier body, and its tributaries have experienced mass balancing rates ranging from −1.3 m.w.e./year to −0.5 m.w.e./year (thickness change between −3 m/year and −0.6 m/year). With the help of previous research and existing data, the results were compared and validated. The suggested algorithm and findings can serve as inputs for satellite-based ice thickness measurements and as fundamental research for the forthcoming NISAR mission (expected by mid-2024) which will carry L- and S-band antennas.

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来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
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