Remote Sensing of Drivers of Spring Snowmelt Flooding in the North Central U.S.-Reference-Cited by-同舟云学术

Remote Sensing of Drivers of Spring Snowmelt Flooding in the North Central U.S.

Published:2016-11-04 Issue: Volume: Page:21-45
ISSN:2198-0721
Container-title:Springer Remote Sensing/Photogrammetry
language:
Short-container-title:

Author:

Tuttle Samuel E.,Cho Eunsang,Restrepo Pedro J.,Jia Xinhua,Vuyovich Carrie M.,Cosh Michael H.,Jacobs Jennifer M.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-43744-6_2

Reference101 articles.

1. Amante C, Eakins BW (2009) ETOPO1 1 arc-minute global relief model: procedures, data sources, and analysis. NOAA Technical Memorandum NESDIS NGDC-24. National Geophysical Data Center, NOAA, Boulder

2. Anderson E (2006) Snow accumulation and ablation model–SNOW-17. US National Weather Service, Silver Spring

3. Anderson E, Larson L (1996) The role of snowmelt in the January 1996 floods in the northeastern United States. In: Proceedings of the 53rd Eastern Snow Conference, pp 141–149

4. Bader H, Haefeli R, Bucher E, Neher J, Eckel O, Thams C (1939) Snow and its metamorphism. In: U.S. Army Corps of Engineers (USACE) Cold Regions Research and Engineering Laboratory (CRREL) Snow, Ice, and Permafrost Research Establishment (SIPRE) Translation, vol 14. p 313

5. Beltaos S (2008) Progress in the study and management of river ice jams. Cold Reg Sci Technol 51(1):2–19. doi: 10.1016/j.coldregions.2007.09.001

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Intelligent Method for Predicting River Water Height Based on GRU-RNN Method;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18

2. UAS remote sensing applications to abrupt cold region hazards;Frontiers in Remote Sensing;2023-08-14

3. Comparative Study of Deep Learning LSTM and 1D-CNN Models for Real-time Flood Prediction in Red River of the North, USA;2023 IEEE International Conference on Electro Information Technology (eIT);2023-05-18

4. Impact of Climate Change on Water Status: Challenges and Emerging Solutions;Advances in Science, Technology & Innovation;2023

5. Improvement of springtime streamflow prediction using a snow hydrology model aided with USDA SNOTEL and in-situ snowpit observations;Hydrology Research;2022-12-01