Mapping of Debris-Covered Glaciers Using Object-Based Machine Learning Technique
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12524-024-01832-2.pdf
Reference29 articles.
1. Alifu, H., Tateishi, R., & Johnson, B. (2015). A new band ratio technique for mapping debris-covered glaciers using Landsat imagery and a digital elevation model. International Journal of Remote Sensing, 36(8), 2063–2075. https://doi.org/10.1080/2150704X.2015.1034886
2. Alifu, H., Johnson, B. A., & Tateishi, R. (2016). Delineation of debris-covered glaciers Based on a combination of geomorphometric parameters and a TIR/NIR/SWIR band ratio. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(2), 781. https://doi.org/10.1109/JSTARS.2015.2500906
3. Bajracharya S (submitter), Guo, W., Maharjan, S. B., and Shrestha, F. (analyst(s)), GLIMS Consortium, (2005) GLIMS Glacier Database Boulder, Colorado, USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.7265/N5V98602
4. Bhambri, R., Bolch, T., & Chaujar, R. K. (2011). Mapping of debris covered glaciers in the Garhwal Himalayas using ASTER DEMs and thermal data. International Journal of Remote Sensing, 32(23), 8095–8119. https://doi.org/10.1080/01431161.2010.532821
5. Bolch, T., Cogley, G. (submitter), Frey, H., Guo, W., Liu, S., Moelg, N., Nuimura, T., Paul, F., Raup, B. H., & Sakai, A., (analyst(s)). GLIMS Consortium, 2005. GLIMS Glacier Database Boulder, Colorado, USA. NASA National Snow and Ice, Data Center Distributed Active Archive Center. https://doi.org/10.7265/N5V98602
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