The spatiotemporal study of the glaciers under the changing environment is critical from the freshwater availability, especially in the perennial rivers flowing out of them during the lean season. The Mrigthuni Glacier, one of the major glaciers in the Pindar River basin in Uttarakhand, has been selected as a study glacier for the present analysis. The long-term (1951–2018) meteorological data analysis indicated that the temperature increased in both the maximum ablation and accumulation period; however, the precipitation decreased during the primary accumulation period. The change detected in climate patterns provided an impetus to study its impact on the glacier using geospatial techniques. It was found that the glacier front retreated by 831.4 ± 42 m at the rate of 32.94 m yr⁻¹ from 1990 to 2015. Further, the glacier accumulation area ratio has reduced from 55.63 to 53.22%, with a 66 m upward shift in equilibrium line altitude (ELA). The glacier's mass balance has reduced from 0.23 to 0.28 ± 0.035 m w.e. during the analysis period, based on a general equation developed for northwestern Himalaya using the optical remote sensing data. Due to the limitations of optical data, Synthetic Aperture Radar (SAR) data was used to map glacier radar zones. The distinct percolation/refreeze, transient firn, and ablation zones were identified on the SAR data composite of the different seasons. Considering SAR-based ELA as the most accurate, the analysis confirmed the negative mass balance with a value of 0.62 ± 0.036 m w.e. Therefore, it was concluded that SAR-based analysis might be vital for accurate glacier dynamics studies especially the mass balance.

变化环境下冰川的时空研究对于淡水的可用性至关重要，特别是在淡季流出冰川的多年生河流中。Mrigthuni 冰川是北阿坎德邦品达尔河流域的主要冰川之一，已被选为本分析的研究冰川。长期（1951-2018）气象资料分析表明，最大消融期和积聚期温度均升高；然而，在初级积累期降水减少。在气候模式中检测到的变化为使用地理空间技术研究其对冰川的影响提供了动力。发现冰川前缘以32.94 m yr ^-1的速度后退831.4 ± 42 m从1990年到2015年，冰川堆积面积比从55.63%下降到53.22%，平衡线高度（ELA）上移了66 m。根据使用光学遥感数据为喜马拉雅西北部开发的一般方程，在分析期间，冰川的质量平衡已从 0.23 米降至 0.28 ± 0.035 米。由于光学数据的限制，合成孔径雷达（SAR）数据被用于绘制冰川雷达区域。在不同季节的合成孔径雷达数据组合上识别出不同的渗流/再冻结、瞬态冷杉和消融区。考虑到基于 SAR 的 ELA 是最准确的，分析证实了负质量平衡，值为 0.62 ± 0.036 m we 因此，