Application of a Convolutional Neural Network for the Detection of Sea Ice Leads
Despite accounting for a small fraction of the surface area in the Arctic, long and narrow sea ice fractures, known as “leads”, play a critical role in the energy flux between the ocean and atmosphere. As the volume of sea ice in the Arctic has declined over the past few decades, it is increasingly...
Enregistré dans:
Auteurs principaux: | Jay P. Hoffman, Steven A. Ackerman, Yinghui Liu, Jeffrey R. Key, Iain L. McConnell |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/274f2cebf4bd43319714c2b2b21f6e83 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
A Novel Phase Unwrapping Method Used for Monitoring the Land Subsidence in Coal Mining Area Based on U-Net Convolutional Neural Network
par: Zhiyong Wang, et autres
Publié: (2021) -
SINGLE-PASS SEA/ICE DISCRIMINATION USING ERS-2 SCATTEROMETER DATA
par: Neyt,Xavier, et autres
Publié: (2004) -
Partial Shape Recognition for Sea Ice Motion Retrieval in the Marginal Ice Zone from Sentinel-1 and Sentinel-2
par: Mingfeng Wang, et autres
Publié: (2021) -
An Adaptive Approach to Derive Sea Ice Draft from Upward-Looking Acoustic Doppler Current Profilers (ADCPs), Validated by Upward-Looking Sonar (ULS) Data
par: Hans Jakob Belter, et autres
Publié: (2021) -
Observation of the Emperor penguins Aptenodytes forsteri in the Prince Gustav Channel related with unusual sea-ice decline in north-western Weddell Sea
par: Hrbáček,Filip, et autres
Publié: (2018)