Observations of River Ice Breakup Using GNSS-IR, SAR, and Machine Learning-Reference-Cited by-同舟云学术

Observations of River Ice Breakup Using GNSS-IR, SAR, and Machine Learning

Published:2024 Issue: Volume:62 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Purnell David¹^ORCID,Dabboor Mohammed²,Matte Pascal²^ORCID,Peters Daniel³,Anctil François¹^ORCID,Ghobrial Tadros¹^ORCID,Pierre Amandine¹

Affiliation:

1. Department of Civil and Water Engineering, Université Laval, Québec, Canada

2. Science and Technology Branch, Government of Canada, Dorval, Canada

3. Watershed Hydrology and Ecology Research Division, Environment and Climate Change Canada, University of Victoria Queenswood Campus, Victoria, Canada

Funder

Canadian Space Agency

Environment and Climate Change Canada

Ministére de Sécurité Publique du Québec (MSP) through the FLUTEIS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10477609.pdf?arnumber=10477609

Reference34 articles.

1. Monitoring river ice processes: Sharing experience to improve successful research programs;Turcotte

2. Monitoring the Variation in Ice-Cover Characteristics of the Slave River, Canada Using RADARSAT-2 Data—A Case Study

3. Integration of space-borne and air-borne data in monitoring river ice processes in the Slave River, Canada

4. Remote sensing of lake and river ice

5. Spatial and temporal patterns in Arctic river ice breakup observed with MODIS and AVHRR time series

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