DERIVATION OF SUPRAGLACIAL DEBRIS COVER BY MACHINE LEARNING ALGORITHMS ON THE GEE PLATFORM: A CASE STUDY OF GLACIERS IN THE HUNZA VALLEY

7 citations as recorded by crossref.

1. Interdecadal glacier inventories in the Karakoram since the 1990s F. Xie et al. https://doi.org/10.5194/essd-15-847-2023
2. Remote Sensing and Modeling of the Cryosphere in High Mountain Asia: A Multidisciplinary Review Q. Ye et al. https://doi.org/10.3390/rs16101709
3. Distribution and Evolution of Supraglacial Lakes in Greenland during the 2016–2018 Melt Seasons J. Hu et al. https://doi.org/10.3390/rs14010055
4. The superiority of the Adjusted Normalized Difference Snow Index (ANDSI) for mapping glaciers using Sentinel-2 multispectral satellite imagery B. Mohammadi et al. https://doi.org/10.1080/15481603.2023.2257978
5. Urban Ecological Quality Assessment Based on Google Earth Engine and Driving Factors Analysis: A Case Study of Wuhan City, China W. Zhang et al. https://doi.org/10.3390/su16093598
6. Multi-decadal mapping of debris-covered glaciers in the Zanskar Himalaya using Landsat Time Series on Google Earth Engine S. Ahmad & A. Jasrotia https://doi.org/10.1007/s12040-026-02784-6
7. Monitoring of Glacier Area Changes in the Ili River Basin during 1992–2020 Based on Google Earth Engine Q. Zhang et al. https://doi.org/10.3390/land13091417