Snow cover thickness estimation using radial basis function networks
This paper reports an experimental study designed for the in-depth investigation of how the radial basis function network (RBFN) estimates snow cover thickness as a function of climate and topographic parameters. The estimation problem is modeled in terms of both function regression and classificati...
Published in: | The Cryosphere |
---|---|
Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2013
|
Subjects: | |
Online Access: | https://doi.org/10.5194/tc-7-841-2013 https://noa.gwlb.de/receive/cop_mods_00022704 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00022659/tc-7-841-2013.pdf https://tc.copernicus.org/articles/7/841/2013/tc-7-841-2013.pdf |
id |
ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00022704 |
---|---|
record_format |
openpolar |
spelling |
ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00022704 2023-05-15T18:32:32+02:00 Snow cover thickness estimation using radial basis function networks Binaghi, E. Pedoia, V. Guidali, A. Guglielmin, M. 2013-05 electronic https://doi.org/10.5194/tc-7-841-2013 https://noa.gwlb.de/receive/cop_mods_00022704 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00022659/tc-7-841-2013.pdf https://tc.copernicus.org/articles/7/841/2013/tc-7-841-2013.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-7-841-2013 https://noa.gwlb.de/receive/cop_mods_00022704 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00022659/tc-7-841-2013.pdf https://tc.copernicus.org/articles/7/841/2013/tc-7-841-2013.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2013 ftnonlinearchiv https://doi.org/10.5194/tc-7-841-2013 2022-02-08T22:50:59Z This paper reports an experimental study designed for the in-depth investigation of how the radial basis function network (RBFN) estimates snow cover thickness as a function of climate and topographic parameters. The estimation problem is modeled in terms of both function regression and classification, obtaining continuous and discrete thickness values, respectively. The model is based on a minimal set of climatic and topographic data collected from a limited number of stations located in the Italian Central Alps. Several experiments have been conceived and conducted adopting different evaluation indexes. A comparison analysis was also developed for a quantitative evaluation of the advantages of the RBFN method over to conventional widely used spatial interpolation techniques when dealing with critical situations originated by lack of data and limited n-homogeneously distributed instrumented sites. The RBFN model proved competitive behavior and a valuable tool in critical situations in which conventional techniques suffer from a lack of representative data. Article in Journal/Newspaper The Cryosphere Niedersächsisches Online-Archiv NOA The Cryosphere 7 3 841 854 |
institution |
Open Polar |
collection |
Niedersächsisches Online-Archiv NOA |
op_collection_id |
ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
spellingShingle |
article Verlagsveröffentlichung Binaghi, E. Pedoia, V. Guidali, A. Guglielmin, M. Snow cover thickness estimation using radial basis function networks |
topic_facet |
article Verlagsveröffentlichung |
description |
This paper reports an experimental study designed for the in-depth investigation of how the radial basis function network (RBFN) estimates snow cover thickness as a function of climate and topographic parameters. The estimation problem is modeled in terms of both function regression and classification, obtaining continuous and discrete thickness values, respectively. The model is based on a minimal set of climatic and topographic data collected from a limited number of stations located in the Italian Central Alps. Several experiments have been conceived and conducted adopting different evaluation indexes. A comparison analysis was also developed for a quantitative evaluation of the advantages of the RBFN method over to conventional widely used spatial interpolation techniques when dealing with critical situations originated by lack of data and limited n-homogeneously distributed instrumented sites. The RBFN model proved competitive behavior and a valuable tool in critical situations in which conventional techniques suffer from a lack of representative data. |
format |
Article in Journal/Newspaper |
author |
Binaghi, E. Pedoia, V. Guidali, A. Guglielmin, M. |
author_facet |
Binaghi, E. Pedoia, V. Guidali, A. Guglielmin, M. |
author_sort |
Binaghi, E. |
title |
Snow cover thickness estimation using radial basis function networks |
title_short |
Snow cover thickness estimation using radial basis function networks |
title_full |
Snow cover thickness estimation using radial basis function networks |
title_fullStr |
Snow cover thickness estimation using radial basis function networks |
title_full_unstemmed |
Snow cover thickness estimation using radial basis function networks |
title_sort |
snow cover thickness estimation using radial basis function networks |
publisher |
Copernicus Publications |
publishDate |
2013 |
url |
https://doi.org/10.5194/tc-7-841-2013 https://noa.gwlb.de/receive/cop_mods_00022704 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00022659/tc-7-841-2013.pdf https://tc.copernicus.org/articles/7/841/2013/tc-7-841-2013.pdf |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_relation |
The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-7-841-2013 https://noa.gwlb.de/receive/cop_mods_00022704 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00022659/tc-7-841-2013.pdf https://tc.copernicus.org/articles/7/841/2013/tc-7-841-2013.pdf |
op_rights |
uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/tc-7-841-2013 |
container_title |
The Cryosphere |
container_volume |
7 |
container_issue |
3 |
container_start_page |
841 |
op_container_end_page |
854 |
_version_ |
1766216696827215872 |