Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
Mila（米拉）；University of Texas at El Paso（得克萨斯大学埃尔帕索分校）；Integrated Centre for Mountain Development（山地发展综合中心）；Microsoft AI for Good Research Lab（微软AI公益研究实验室）；University of Wisconsin - Madison（威斯康星大学麦迪逊分校）
英文摘要：
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.
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