Survey and Classification of Large Woody Debris (LWD) in Streams Using Generated Low-Cost Geomatic Products

[EN] Water authorities are required to have a survey of large woody debris (LWD) in river channels and to manage this aspect of the stream habitat, making decisions on removing, positioning or leaving LWD in a natural state. The main objective of this study is to develop a new methodology that assis...

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Detalhes bibliográficos
Autores: Ortega Terol, Damián, Moreno Hidalgo, Miguel Ángel, Hernández López, David, Rodríguez Gonzálvez, Pablo
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:España
Recursos:Universidad de León
Repositorio:BULERIA. Repositorio Institucional de la Universidad de León
OAI Identifier:oai:buleria.unileon.es:10612/23792
Acesso em linha:https://www.mdpi.com/2072-4292/6/12/11770
https://hdl.handle.net/10612/23792
Access Level:acceso abierto
Palavra-chave:Ingeniería de minas
Topografía
Photogrammetry
Large woody debris
Orthoimage
FOSSGIS
QGIS Python plugin
River channel management
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repository_id_str
spelling Survey and Classification of Large Woody Debris (LWD) in Streams Using Generated Low-Cost Geomatic ProductsOrtega Terol, DamiánMoreno Hidalgo, Miguel ÁngelHernández López, DavidRodríguez Gonzálvez, PabloIngeniería de minasTopografíaPhotogrammetryLarge woody debrisOrthoimageFOSSGISQGIS Python pluginRiver channel management[EN] Water authorities are required to have a survey of large woody debris (LWD) in river channels and to manage this aspect of the stream habitat, making decisions on removing, positioning or leaving LWD in a natural state. The main objective of this study is to develop a new methodology that assists in decision making for sustainable management of river channels by using generated low-cost, geomatic products to detect LWD. The use of low-cost photogrammetry based on the use of economical, conventional, non-metric digital cameras mounted on low-cost aircrafts, together with the use of the latest computational vision techniques and open-source geomatic tools, provides useful geomatic products. The proposed methodology, compared with conventional photogrammetry or other traditional methods, led to a cost savings of up to 45%. This work presents several contributions for the area of free and open source software related to Geographic Information System (FOSSGIS) applications to LWD management in streams, while developing a QGIS [1] plugin that characterizes the risk from the automatic calculation of geometrical parametersSIMDPIIngeniería Cartografica, Geodesica y FotogrametriaEscuela Superior y Tecnica de Ingenieros de Minas2014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://www.mdpi.com/2072-4292/6/12/11770https://hdl.handle.net/10612/23792reponame:BULERIA. Repositorio Institucional de la Universidad de Leóninstname:Universidad de LeónIngléshttp://creativecommons.org/licenses/by-nd/4.0/info:eu-repo/semantics/openAccessoai:buleria.unileon.es:10612/237922026-06-24T12:43:27Z
dc.title.none.fl_str_mv Survey and Classification of Large Woody Debris (LWD) in Streams Using Generated Low-Cost Geomatic Products
title Survey and Classification of Large Woody Debris (LWD) in Streams Using Generated Low-Cost Geomatic Products
spellingShingle Survey and Classification of Large Woody Debris (LWD) in Streams Using Generated Low-Cost Geomatic Products
Ortega Terol, Damián
Ingeniería de minas
Topografía
Photogrammetry
Large woody debris
Orthoimage
FOSSGIS
QGIS Python plugin
River channel management
title_short Survey and Classification of Large Woody Debris (LWD) in Streams Using Generated Low-Cost Geomatic Products
title_full Survey and Classification of Large Woody Debris (LWD) in Streams Using Generated Low-Cost Geomatic Products
title_fullStr Survey and Classification of Large Woody Debris (LWD) in Streams Using Generated Low-Cost Geomatic Products
title_full_unstemmed Survey and Classification of Large Woody Debris (LWD) in Streams Using Generated Low-Cost Geomatic Products
title_sort Survey and Classification of Large Woody Debris (LWD) in Streams Using Generated Low-Cost Geomatic Products
dc.creator.none.fl_str_mv Ortega Terol, Damián
Moreno Hidalgo, Miguel Ángel
Hernández López, David
Rodríguez Gonzálvez, Pablo
author Ortega Terol, Damián
author_facet Ortega Terol, Damián
Moreno Hidalgo, Miguel Ángel
Hernández López, David
Rodríguez Gonzálvez, Pablo
author_role author
author2 Moreno Hidalgo, Miguel Ángel
Hernández López, David
Rodríguez Gonzálvez, Pablo
author2_role author
author
author
dc.contributor.none.fl_str_mv Ingeniería Cartografica, Geodesica y Fotogrametria
Escuela Superior y Tecnica de Ingenieros de Minas
dc.subject.none.fl_str_mv Ingeniería de minas
Topografía
Photogrammetry
Large woody debris
Orthoimage
FOSSGIS
QGIS Python plugin
River channel management
topic Ingeniería de minas
Topografía
Photogrammetry
Large woody debris
Orthoimage
FOSSGIS
QGIS Python plugin
River channel management
description [EN] Water authorities are required to have a survey of large woody debris (LWD) in river channels and to manage this aspect of the stream habitat, making decisions on removing, positioning or leaving LWD in a natural state. The main objective of this study is to develop a new methodology that assists in decision making for sustainable management of river channels by using generated low-cost, geomatic products to detect LWD. The use of low-cost photogrammetry based on the use of economical, conventional, non-metric digital cameras mounted on low-cost aircrafts, together with the use of the latest computational vision techniques and open-source geomatic tools, provides useful geomatic products. The proposed methodology, compared with conventional photogrammetry or other traditional methods, led to a cost savings of up to 45%. This work presents several contributions for the area of free and open source software related to Geographic Information System (FOSSGIS) applications to LWD management in streams, while developing a QGIS [1] plugin that characterizes the risk from the automatic calculation of geometrical parameters
publishDate 2014
dc.date.none.fl_str_mv 2014
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://www.mdpi.com/2072-4292/6/12/11770
https://hdl.handle.net/10612/23792
url https://www.mdpi.com/2072-4292/6/12/11770
https://hdl.handle.net/10612/23792
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:BULERIA. Repositorio Institucional de la Universidad de León
instname:Universidad de León
instname_str Universidad de León
reponame_str BULERIA. Repositorio Institucional de la Universidad de León
collection BULERIA. Repositorio Institucional de la Universidad de León
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,228081

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