Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 36 min ago
PreprintCC BY 4.0EGUsphere

Review article: using machine learning for snow remote sensing: trends and future directions for global snow measurements

Related

  1. Quantifying meteorological impacts on local landfill methane emissions by using field measurements and machine learning
    Donghee Kim, Sujong Jeong, Dong Yeong Chang +1
    Atmospheric chemistry and physicsPeer-reviewedCC BYFull text5 citedEnvironmental science & pollutionOpenAlex
  2. SeisBench DAS: A machine learning framework for Distributed Acoustic Sensing
    Jannes Münchmeyer, Han Xiao, Frederik Tilmann
    arXivPreprintarXiv licenceFull textGeophysics & seismologyarXiv
  3. Optical Remote Sensing and Machine Learning Enable Scalable Carbon Mapping in Himalayan Forests Despite Spectral Saturation Challenges
    Namgay Wangchuk, Yonten Dorji
    EcoEvoRxivPreprintCC BY 4.0Full textEnvironmental science & pollutionEcoEvoRxiv
  4. Hydrologically enhanced machine learning framework for urban flood inundation mapping using multi-sensor remote sensing data: a case study of Mumbai, India
    Ankush S. Pawar, Gayatri M. Phade
    Natural Hazards and Earth System SciencesPeer-reviewedCC BY 4.0Full textClimate scienceCrossref
  5. Automatic Monitoring of Rock-Slope Failures Using Distributed Acoustic Sensing and Semi-Supervised Learning
    Jiahui Kang, Fabian Walter, Patrick Paitz +4
    Geophysical Research LettersPeer-reviewedCC BYFull text29 citedGeophysics & seismologyHAL
BibTeX
@misc{breen2026review,
  title = {{Review article: using machine learning for snow remote sensing: trends and future directions for global snow measurements}},
  author = {Catherine Marina Breen and Kehan Yang and Justin Pflug and Sujay Kumar and Nicoleta Cristea and Ibrahim Alabi and Carrie Vuyovich},
  howpublished = {EGUsphere},
  year = {2026},
  month = nov,
  doi = {10.5194/egusphere-2026-5868},
  url = {https://doi.org/10.5194/egusphere-2026-5868},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Review article: using machine learning for snow remote sensing: trends and future directions for global snow measurements
AU  - Catherine Marina Breen
AU  - Kehan Yang
AU  - Justin Pflug
AU  - Sujay Kumar
AU  - Nicoleta Cristea
AU  - Ibrahim Alabi
AU  - Carrie Vuyovich
PY  - 2026
DA  - 2026/11/06
PB  - EGUsphere
DO  - 10.5194/egusphere-2026-5868
UR  - https://doi.org/10.5194/egusphere-2026-5868
ER  -