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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.15718051 |
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Table of Contents:
- <p>This repository contains the source code and data used for the automated extraction of snowline altitude (SLA) using Google Earth Engine (GEE).</p> <p> </p> <h3><strong>Overview</strong></h3> <p>The code implements a semi-automated approach to detect snowline altitude over mountain regions using satellite imagery through the GEE platform. It is designed to extract SLA over long-term time series, enabling efficient monitoring of seasonal and interannual changes.</p> <p> </p> <h3><strong>Contents</strong></h3> <ul> <li><strong>Python scripts</strong> for SLA extraction</li> <li><strong>Raw SLA data</strong> extracted for the associated publication</li> </ul> <p> </p> <h3><strong>Associated Publication</strong></h3> <p>"Contrasting patterns of change in snowline altitude across five Himalayan catchments"</p> <p>Sasaki, O., Miles, E. S., Pellicciotti, F., Sakai, A., Fujita, K., <em>The Cryosphere</em>, 2025. [To be updated with DOI when published.]</p> <h3> </h3> <h3>Acknowledgements</h3> <p>This research was supported by the JSPS-SNSF (Japan Society for the Promotion of Science and Swiss National Science Foundation) Bilateral Programmes project (HOPE, High-elevation precipitation in High Mountain Asia; JPJSJRP 20191503 / Grant 183633), and JSPS KAKENHI (Grant Number 23K13417 and 23H01509). </p>