Climate warming is the driving force behind the mass change of glaciers, resulting in their thinning and retreat. These changes could result in the formation of glacial lakes across the Himalayan landscape, posing a risk of glacial lake outburst flood (GLOF) hazards, causing enormous damage to the natural environment, human property, and lives. The present study demonstrates a semi-automated tool named 'Himalayan Glacier Thickness Mapper' (HIGTHIM), a Python script based on the ArcPy module. The tool provides the glacier's ice thickness, bed topography, location of the potential lake, and lake volume. It utilizes the laminar flow equation to model ice thickness by applying the surface velocity and slope. We used HIGTHIM in the Sutlej and Beas basins for 132 glaciers covering an area of 618 km² in the Western Himalaya for this investigation. The results indicate 118 potential lake sites covering a total area of 16 km² and a volume of 269 × 10⁶ m³. The information provided by the HIGTHIM tool will be useful in understanding the formation and progression of future glacial lakes caused by deglaciation. Such data is required for the scientific community to perform dynamics modelling of outburst scenarios, hydrological modelling, and risk mitigation from GLOF.

气候变暖是冰川大规模变化的驱动力，导致冰川变薄和退缩。这些变化可能导致喜马拉雅地区形成冰川湖，引发冰川湖溃决洪水（GLOF）危险，对自然环境、人类财产和生命造成巨大损害。本研究演示了一种名为“喜马拉雅冰川厚度测绘器”(HIGTHIM) 的半自动化工具，它是一个基于 ArcPy 模块的 Python 脚本。该工具提供冰川的冰厚度、河床地形、潜在湖泊的位置和湖泊体积。它利用层流方程通过应用表面速度和坡度来模拟冰厚度。我们在喜马拉雅山西部的Sutlej 和 Beas 盆地使用了 HIGTHIM，对覆盖面积 618 km ^{2的 132 条冰川进行了调查。}结果表明，有118个潜在湖泊点，总面积16 km ²，体积269 × 10 ⁶  m ³。HIGTHIM 工具提供的信息将有助于了解未来由冰川消融引起的冰川湖的形成和进展。科学界需要这些数据来进行爆发场景的动态建模、水文建模和 GLOF 风险缓解。