From Concept to Application: Machine Learning for Near-Real-Time River Ice Breakup Prediction Using SAR and Meteorological Data
- DOI
- 10.5194/isprs-annals-xi-m-1-2026-79-2026
- Published
- 2026-07-02
- Container
- ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Publisher
- Copernicus GmbH
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.5194/isprs-annals-xi-m-1-2026-79-2026,
title = {From Concept to Application: Machine Learning for Near-Real-Time River Ice Breakup Prediction Using SAR and Meteorological Data},
author = {Maria Yulmetova and Pradeep Bobby and Michael Lynch and Ian Turnbull},
year = {2026},
journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
doi = {10.5194/isprs-annals-xi-m-1-2026-79-2026},
url = {https://doi.org/10.5194/isprs-annals-xi-m-1-2026-79-2026}
}RIS
TY - JOUR TI - From Concept to Application: Machine Learning for Near-Real-Time River Ice Breakup Prediction Using SAR and Meteorological Data AU - Maria Yulmetova AU - Pradeep Bobby AU - Michael Lynch AU - Ian Turnbull PY - 2026 JO - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences DO - 10.5194/isprs-annals-xi-m-1-2026-79-2026 UR - https://doi.org/10.5194/isprs-annals-xi-m-1-2026-79-2026 ER -
APA
Yulmetova, M., Bobby, P., Lynch, M., & Turnbull, I. (2026). From Concept to Application: Machine Learning for Near-Real-Time River Ice Breakup Prediction Using SAR and Meteorological Data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-annals-xi-m-1-2026-79-2026
Source records
- crossref · retrieved 2026-09-26T14:43:00.218Z