  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.
