论文标题
印度库什·喜马拉雅山（Himalaya）的冰川监控的机器学习
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
论文作者
论文摘要
冰川映射是HKH区域生态监测的关键。气候变化对生计取决于冰川生态系统健康的个人构成风险。在这项工作中，我们提出了一种基于机器学习的方法来支持生态监测，重点是冰川。我们的方法基于卫星图像的半自动化映射。我们利用随时可用的遥感数据来创建一个模型，以识别和概述卫星图像中清洁冰和碎片覆盖的冰川。我们还发布数据并开发了一个Web工具，该工具允许专家可视化和纠正模型预测，其最终目的是加速冰川映射过程。
Glacier mapping is key to ecological monitoring in the hkh region. Climate change poses a risk to individuals whose livelihoods depend on the health of glacier ecosystems. In this work, we present a machine learning based approach to support ecological monitoring, with a focus on glaciers. Our approach is based on semi-automated mapping from satellite images. We utilize readily available remote sensing data to create a model to identify and outline both clean ice and debris-covered glaciers from satellite imagery. We also release data and develop a web tool that allows experts to visualize and correct model predictions, with the ultimate aim of accelerating the glacier mapping process.
