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Permafrost thaw sensitivity prediction using surficial geology, topography, and remote-sensing imagery: a data-driven neural network approach.

Authors :
Oldenborger, Greg A.
Short, Naomi
LeBlanc, Anne-Marie
Source :
Canadian Journal of Earth Sciences; 2022, Vol. 59 Issue 11, p897-913, 17p
Publication Year :
2022

Abstract

<i>Copyright of Canadian Journal of Earth Sciences is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)

Details

Language :
English
ISSN :
00084077
Volume :
59
Issue :
11
Database :
Complementary Index
Journal :
Canadian Journal of Earth Sciences
Publication Type :
Academic Journal
Accession number :
160326863
Full Text :
https://doi.org/10.1139/cjes-2021-0117