Yellala Abhilash, Kumar Vijay
School of Electronics Engineering, Vellore Institute of Technology, Vellore, India.
Heliyon. 2024 Jun 27;10(13):e33666. doi: 10.1016/j.heliyon.2024.e33666. eCollection 2024 Jul 15.
In this study optical data from satellites Sentinel-2 (S-2), Landsat-8 (L-8), and synthetic aperture radar (SAR) data from Sentinel-1(S-1) have been used to estimate the surface velocity of the Siachen Glacier in J&K Himalaya. Repeat-pass optical and SAR data have been processed employing sub-pixel offset tracking (SOT) approach to decipher surface velocity of glaciers during 2013-2018. It is observed that SOT derived 2-D surface velocity using S-2 and L-8 data pairs show more than 70 % correlation over the entire stretch of the glacier. High correlation among velocities from S-2 and L-8 over two years validates one sensor against another for glacier surface movement studies in the Himalaya. This study reveals that the velocity of the glacier varies from ∼120 ma to ∼151 ma during 2013-2018. This study results the movement of glacier using optical sensor and SAR sensor over same geographical zone and similar time zone to evaluate the feature extraction and sensor impact on feature extraction. We have found that all sensors have produced similar results, since data is collected near time frame.
在本研究中，利用卫星哨兵-2（S-2）、陆地卫星-8（L-8）的光学数据以及哨兵-1（S-1）的合成孔径雷达（SAR）数据，来估算查谟和克什米尔喜马拉雅地区锡亚琴冰川的表面速度。采用亚像素偏移跟踪（SOT）方法对重复轨道光学和SAR数据进行了处理，以解译2013 - 2018年期间冰川的表面速度。据观察，利用S-2和L-8数据对通过SOT得出的二维表面速度在冰川的整个区域显示出超过70%的相关性。两年间S-2和L-8速度之间的高度相关性，验证了在喜马拉雅地区进行冰川表面运动研究时，一种传感器相对于另一种传感器的有效性。本研究表明，2013 - 2018年期间冰川速度在约120米/年至约151米/年之间变化。本研究利用光学传感器和SAR传感器在相同地理区域和相似时间段内对冰川运动进行研究，以评估特征提取以及传感器对特征提取的影响。我们发现，由于数据是在相近时间段收集的，所有传感器都产生了相似的结果。
