Study of land cover of Monte Forgoselo using Landsat Thematic Mapper 5 images (Galicia, NW Spain)
The aim of this study was to carry out a land cover classification of Monte Forgoselo. Remote sensing as a planning tool has been used, specifically, a satellite image Landsat 5. We perform a supervised digital classification of the maximum likelihood, minimum distance and parallelepipeds. The resul...
- Autores:
-
Álvarez Bermúdez, Xana
Valero-Gutiérrez del Olmo, Enrique
Picos-Martín, Juan
Ortiz-Torres, Luis
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2015
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/60748
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/60748
http://bdigital.unal.edu.co/59080/
- Palabra clave:
- 62 Ingeniería y operaciones afines / Engineering
forest remote sensing
land cover
land management
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
id |
UNACIONAL2_e987d0bf8e0c904396069624ecf57a98 |
---|---|
oai_identifier_str |
oai:repositorio.unal.edu.co:unal/60748 |
network_acronym_str |
UNACIONAL2 |
network_name_str |
Universidad Nacional de Colombia |
repository_id_str |
|
spelling |
Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Álvarez Bermúdez, Xana4285f168-fc03-4bc2-a86a-844a99b67882300Valero-Gutiérrez del Olmo, Enrique99c26c04-2cad-45c7-bfc1-5dd102f9089f300Picos-Martín, Juan7f1b4076-ae46-4888-8608-10db104d4cf0300Ortiz-Torres, Luise22e4fdc-e01f-4717-b825-bc2dccc1052c3002019-07-02T19:01:24Z2019-07-02T19:01:24Z2015-03-01ISSN: 2346-2183https://repositorio.unal.edu.co/handle/unal/60748http://bdigital.unal.edu.co/59080/The aim of this study was to carry out a land cover classification of Monte Forgoselo. Remote sensing as a planning tool has been used, specifically, a satellite image Landsat 5. We perform a supervised digital classification of the maximum likelihood, minimum distance and parallelepipeds. The result has been the division of Monte Forgoselo into categories of types of vegetation, particularly in pine forest, scrub and grassland, reaching a Kappa coefficient of 0.9762 and an overall accuracy of 98.3586%, which means good reliability. In addition, we found that the use of such techniques can get to make a planing of this small rural area, focusing on forestry management. Furthermore, the use of remote sensing is considered viable in the performance of work with more consideration.application/pdfspaUniversidad Nacional de Colombia (Sede Medellín). Facultad de Minas.https://revistas.unal.edu.co/index.php/dyna/article/view/43725Universidad Nacional de Colombia Revistas electrónicas UN DynaDynaÁlvarez Bermúdez, Xana and Valero-Gutiérrez del Olmo, Enrique and Picos-Martín, Juan and Ortiz-Torres, Luis (2015) Study of land cover of Monte Forgoselo using Landsat Thematic Mapper 5 images (Galicia, NW Spain). DYNA, 82 (190). pp. 173-181. ISSN 2346-218362 Ingeniería y operaciones afines / Engineeringforest remote sensingland coverland managementStudy of land cover of Monte Forgoselo using Landsat Thematic Mapper 5 images (Galicia, NW Spain)Artículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL43725-246725-1-PB.pdfapplication/pdf3476307https://repositorio.unal.edu.co/bitstream/unal/60748/1/43725-246725-1-PB.pdfa6ae2bdb8e4d5ab007af0d931e5b58b8MD51THUMBNAIL43725-246725-1-PB.pdf.jpg43725-246725-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg9457https://repositorio.unal.edu.co/bitstream/unal/60748/2/43725-246725-1-PB.pdf.jpg3524b0a314428a89c67908e3dc4acac6MD52unal/60748oai:repositorio.unal.edu.co:unal/607482023-04-08 23:05:09.342Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co |
dc.title.spa.fl_str_mv |
Study of land cover of Monte Forgoselo using Landsat Thematic Mapper 5 images (Galicia, NW Spain) |
title |
Study of land cover of Monte Forgoselo using Landsat Thematic Mapper 5 images (Galicia, NW Spain) |
spellingShingle |
Study of land cover of Monte Forgoselo using Landsat Thematic Mapper 5 images (Galicia, NW Spain) 62 Ingeniería y operaciones afines / Engineering forest remote sensing land cover land management |
title_short |
Study of land cover of Monte Forgoselo using Landsat Thematic Mapper 5 images (Galicia, NW Spain) |
title_full |
Study of land cover of Monte Forgoselo using Landsat Thematic Mapper 5 images (Galicia, NW Spain) |
title_fullStr |
Study of land cover of Monte Forgoselo using Landsat Thematic Mapper 5 images (Galicia, NW Spain) |
title_full_unstemmed |
Study of land cover of Monte Forgoselo using Landsat Thematic Mapper 5 images (Galicia, NW Spain) |
title_sort |
Study of land cover of Monte Forgoselo using Landsat Thematic Mapper 5 images (Galicia, NW Spain) |
dc.creator.fl_str_mv |
Álvarez Bermúdez, Xana Valero-Gutiérrez del Olmo, Enrique Picos-Martín, Juan Ortiz-Torres, Luis |
dc.contributor.author.spa.fl_str_mv |
Álvarez Bermúdez, Xana Valero-Gutiérrez del Olmo, Enrique Picos-Martín, Juan Ortiz-Torres, Luis |
dc.subject.ddc.spa.fl_str_mv |
62 Ingeniería y operaciones afines / Engineering |
topic |
62 Ingeniería y operaciones afines / Engineering forest remote sensing land cover land management |
dc.subject.proposal.spa.fl_str_mv |
forest remote sensing land cover land management |
description |
The aim of this study was to carry out a land cover classification of Monte Forgoselo. Remote sensing as a planning tool has been used, specifically, a satellite image Landsat 5. We perform a supervised digital classification of the maximum likelihood, minimum distance and parallelepipeds. The result has been the division of Monte Forgoselo into categories of types of vegetation, particularly in pine forest, scrub and grassland, reaching a Kappa coefficient of 0.9762 and an overall accuracy of 98.3586%, which means good reliability. In addition, we found that the use of such techniques can get to make a planing of this small rural area, focusing on forestry management. Furthermore, the use of remote sensing is considered viable in the performance of work with more consideration. |
publishDate |
2015 |
dc.date.issued.spa.fl_str_mv |
2015-03-01 |
dc.date.accessioned.spa.fl_str_mv |
2019-07-02T19:01:24Z |
dc.date.available.spa.fl_str_mv |
2019-07-02T19:01:24Z |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
publishedVersion |
dc.identifier.issn.spa.fl_str_mv |
ISSN: 2346-2183 |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.unal.edu.co/handle/unal/60748 |
dc.identifier.eprints.spa.fl_str_mv |
http://bdigital.unal.edu.co/59080/ |
identifier_str_mv |
ISSN: 2346-2183 |
url |
https://repositorio.unal.edu.co/handle/unal/60748 http://bdigital.unal.edu.co/59080/ |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.relation.spa.fl_str_mv |
https://revistas.unal.edu.co/index.php/dyna/article/view/43725 |
dc.relation.ispartof.spa.fl_str_mv |
Universidad Nacional de Colombia Revistas electrónicas UN Dyna Dyna |
dc.relation.references.spa.fl_str_mv |
Álvarez Bermúdez, Xana and Valero-Gutiérrez del Olmo, Enrique and Picos-Martín, Juan and Ortiz-Torres, Luis (2015) Study of land cover of Monte Forgoselo using Landsat Thematic Mapper 5 images (Galicia, NW Spain). DYNA, 82 (190). pp. 173-181. ISSN 2346-2183 |
dc.rights.spa.fl_str_mv |
Derechos reservados - Universidad Nacional de Colombia |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.license.spa.fl_str_mv |
Atribución-NoComercial 4.0 Internacional |
dc.rights.uri.spa.fl_str_mv |
http://creativecommons.org/licenses/by-nc/4.0/ |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Atribución-NoComercial 4.0 Internacional Derechos reservados - Universidad Nacional de Colombia http://creativecommons.org/licenses/by-nc/4.0/ http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Universidad Nacional de Colombia (Sede Medellín). Facultad de Minas. |
institution |
Universidad Nacional de Colombia |
bitstream.url.fl_str_mv |
https://repositorio.unal.edu.co/bitstream/unal/60748/1/43725-246725-1-PB.pdf https://repositorio.unal.edu.co/bitstream/unal/60748/2/43725-246725-1-PB.pdf.jpg |
bitstream.checksum.fl_str_mv |
a6ae2bdb8e4d5ab007af0d931e5b58b8 3524b0a314428a89c67908e3dc4acac6 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional Universidad Nacional de Colombia |
repository.mail.fl_str_mv |
repositorio_nal@unal.edu.co |
_version_ |
1814089664691175424 |