12 citations as recorded by crossref.

1. Controls on Ice Cliff Distribution and Characteristics on Debris‐Covered Glaciers M. Kneib et al. 10.1029/2022GL102444
2. Evolution of Supraglacial Lakes from 1990 to 2020 in the Himalaya–Karakoram Region Using Cloud-Based Google Earth Engine Platform R. Sahu et al. 10.1007/s12524-023-01773-2
3. Seasonal to decadal dynamics of supraglacial lakes on debris-covered glaciers in the Khumbu region, Nepal L. Zeller et al. 10.5194/tc-18-525-2024
4. Debris-covered glacier systems and associated glacial lake outburst flood hazards: challenges and prospects A. Racoviteanu et al. 10.1144/jgs2021-084
5. Multispectral Characteristics of Glacier Surface Facies (Chandra-Bhaga Basin, Himalaya, and Ny-Ålesund, Svalbard) through Investigations of Pixel and Object-Based Mapping Using Variable Processing Routines S. Jawak et al. 10.3390/rs14246311
6. Spatio-Temporal Evolution of Glacial Lakes in the Tibetan Plateau over the Past 30 Years X. Dou et al. 10.3390/rs15020416
7. Spatial Validation of Spectral Unmixing Results: A Systematic Review R. Cavalli 10.3390/rs15112822
8. An integrated deep learning and object-based image analysis approach for mapping debris-covered glaciers D. Thomas et al. 10.3389/frsen.2023.1161530
9. Mass Balance of Maritime Glaciers in the Southeastern Tibetan Plateau during Recent Decades X. Lyu et al. 10.3390/su16167118
10. Land surface modeling informed by earth observation data: toward understanding blue–green–white water fluxes in High Mountain Asia P. Buri et al. 10.1080/10095020.2024.2330546
11. Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications S. Ustin & E. Middleton 10.3390/s24113488
12. Novel Machine Learning Method Integrating Ensemble Learning and Deep Learning for Mapping Debris-Covered Glaciers Y. Lu et al. 10.3390/rs13132595