Paper
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya.
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.
Authors: Shimaa Baraka · Benjamin Akera · Bibek Aryal · Tenzing Chogyal Sherpa · Finu Shresta · Anthony Ortiz · Kris Sankaran · Juan Lavista Ferres · Mir A. Matin · Yoshua Bengio