Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Thomas Puestow"'
Publikováno v:
Water, Vol 16, Iss 18, p 2648 (2024)
This article provides a comprehensive overview of ice-jam flood forecasting methodologies applicable to rivers during freezing. It emphasizes the importance of understanding river ice processes and fluvial geomorphology for developing a freeze-up ice
Externí odkaz:
https://doaj.org/article/cb9dc70c0f484ec987b8c0901bdac904
Publikováno v:
Hydrology, Vol 11, Iss 8, p 126 (2024)
This paper provides a comprehensive review of the available literature on the observation and characterization of river ice using remote sensing technologies. Through an analysis of 200 publications spanning from 1919 to June 2024, we reviewed differ
Externí odkaz:
https://doaj.org/article/f08adaac27344ea1b4bcfda6edd00885
Publikováno v:
Water, Vol 16, Iss 11, p 1557 (2024)
Spring-breakup ice-jam floods are a major hazard for many rivers in cold regions. They can cause severe damage to infrastructure, property, and ecosystems along riverbanks. To reduce the risk and impact of these events, it is essential to develop rel
Externí odkaz:
https://doaj.org/article/b9b9f18b6c304d86974ae649ae526b3c
Autor:
Igor Zakharov, Mark Kapfer, Jon Hornung, Sarah Kohlsmith, Thomas Puestow, Mark Howell, Michael D. Henschel
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3569-3578 (2020)
Soil moisture is a key factor in the reclamation of wetland habitats. Understanding the distribution and relative amount of water can be critical in reintroducing trees and grasses to disturbed soils. Soil moisture is also one of the main factors aff
Externí odkaz:
https://doaj.org/article/00c9b27546034a2083cd30a4af59dd91
Autor:
Igor Zakharov, Michael D. Henschel, Desmond Power, Pamela Burke, Thomas Puestow, Sherry Warren
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 20:1-5
Autor:
Thomas Puestow, Igor Zakharov, Michael D. Henschel, Jon Hornung, Sarah Kohlsmith, Mark Howell, Mark Kapfer
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3569-3578 (2020)
Soil moisture is a key factor in the reclamation of wetland habitats. Understanding the distribution and relative amount of water can be critical in reintroducing trees and grasses to disturbed soils. Soil moisture is also one of the main factors aff
Autor:
Fariba Mohammadimanesh, Thomas Puestow, Brian Brisco, Sherry Warren, Bahram Salehi, Jean Granger, Masoud Mahdianpari
The Conne River watershed is dominated by wetlands that provide valuable ecosystem services, including contributing to the survivability and propagation of Atlantic salmon, an important subsistence species that has shown a dramatic decline over the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e660376ab6817bbb27f6808fe185342
https://nrc-publications.canada.ca/eng/view/object/?id=4b9500c9-8943-4b53-bb55-f16bf01905fc
https://nrc-publications.canada.ca/eng/view/object/?id=4b9500c9-8943-4b53-bb55-f16bf01905fc
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 16:1070-1074
In this paper, the advantages of using an interferometric method for detecting and characterizing icebergs in sea ice were demonstrated. Iceberg topography was analyzed using single-pass TanDEM-X interferometric synthetic aperture radar (InSAR) data.
Autor:
Bahram Salehi, Brian Brisco, Jean Granger, Masoud Mahdianpari, Sherry Warren, Thomas Puestow, Fariba Mohammadimanesh
Publikováno v:
Journal of Environmental Management. 280:111676
Thanks to increasing urban development, it has become important for municipalities to understand how ecological processes function. In particular, urban wetlands are vital habitats for the people and the animals living amongst them. This is because w
Estimation of sea ice parameters using an assimilated sea ice model with a variable drag formulation
Publikováno v:
Ocean Modelling. 158:101739
In this work, sea ice concentrations in the regions of Baffin Bay, Hudson Bay, the Labrador Sea and the Gulf of St. Lawrence were estimated using a standalone regional configuration of Los Alamos Sea ice Model, CICE. A sensitivity analysis of the mix