Identification of wetland areas in the context of agricultural development using Remote Sensing and GIS

This study aims to determine the wetland potential on a pixel basis on the floodplain of the Leon River: hydrology, hydrophytic vegetation and hydromorphic soils were taken into account. Field measurements and spatially explicit models were used to model surface hydrology and piezometric levels. Sat...

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Autores:
Anaya, Jesús Adolfo
Escobar Martínez, John Fernando
Massone, Héctor
Booman, Gisel
Quiroz Londoño, Orlando Mauricio
Cañón Barriga, César Camilo
Montoya Jaramillo, Luis Javier
Palomino Ángel, Sebastián
Tipo de recurso:
Article of journal
Fecha de publicación:
2017
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/60394
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/60394
http://bdigital.unal.edu.co/58726/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Wetland
agriculture
environmental management
piezometric levels
topographic wetness index
Humedal
agricultura
manejo ambiental
niveles piezométricos
índice topográfico de humedad
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_598aa3c31f05c27b28ff7bbdd618f0d7
oai_identifier_str oai:repositorio.unal.edu.co:unal/60394
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Identification of wetland areas in the context of agricultural development using Remote Sensing and GIS
title Identification of wetland areas in the context of agricultural development using Remote Sensing and GIS
spellingShingle Identification of wetland areas in the context of agricultural development using Remote Sensing and GIS
62 Ingeniería y operaciones afines / Engineering
Wetland
agriculture
environmental management
piezometric levels
topographic wetness index
Humedal
agricultura
manejo ambiental
niveles piezométricos
índice topográfico de humedad
title_short Identification of wetland areas in the context of agricultural development using Remote Sensing and GIS
title_full Identification of wetland areas in the context of agricultural development using Remote Sensing and GIS
title_fullStr Identification of wetland areas in the context of agricultural development using Remote Sensing and GIS
title_full_unstemmed Identification of wetland areas in the context of agricultural development using Remote Sensing and GIS
title_sort Identification of wetland areas in the context of agricultural development using Remote Sensing and GIS
dc.creator.fl_str_mv Anaya, Jesús Adolfo
Escobar Martínez, John Fernando
Massone, Héctor
Booman, Gisel
Quiroz Londoño, Orlando Mauricio
Cañón Barriga, César Camilo
Montoya Jaramillo, Luis Javier
Palomino Ángel, Sebastián
dc.contributor.author.spa.fl_str_mv Anaya, Jesús Adolfo
Escobar Martínez, John Fernando
Massone, Héctor
Booman, Gisel
Quiroz Londoño, Orlando Mauricio
Cañón Barriga, César Camilo
Montoya Jaramillo, Luis Javier
Palomino Ángel, Sebastián
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
Wetland
agriculture
environmental management
piezometric levels
topographic wetness index
Humedal
agricultura
manejo ambiental
niveles piezométricos
índice topográfico de humedad
dc.subject.proposal.spa.fl_str_mv Wetland
agriculture
environmental management
piezometric levels
topographic wetness index
Humedal
agricultura
manejo ambiental
niveles piezométricos
índice topográfico de humedad
description This study aims to determine the wetland potential on a pixel basis on the floodplain of the Leon River: hydrology, hydrophytic vegetation and hydromorphic soils were taken into account. Field measurements and spatially explicit models were used to model surface hydrology and piezometric levels. Satellite data were used to derive inundated areas and vegetation. Existing maps from the national geographic institute (IGAC) were used to define the spatial distribution of hydromorphic soils. Special attention was paid to agricultural infrastructure, levees and diversion channels used to modify surface hydrology in order to promote plantations and cattle grazing. A total of 536 km2 meet one or more wetland conditions according to biophysical variables, but only 393 km2 were selected, using logical rules, as wetland pixels. The combination of biophysical variables to define wetland potential is discussed in terms of the spatial distribution and the implications for environmental resource management.
publishDate 2017
dc.date.issued.spa.fl_str_mv 2017-04-01
dc.date.accessioned.spa.fl_str_mv 2019-07-02T18:13:03Z
dc.date.available.spa.fl_str_mv 2019-07-02T18:13:03Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.issn.spa.fl_str_mv ISSN: 2346-2183
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/60394
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/58726/
identifier_str_mv ISSN: 2346-2183
url https://repositorio.unal.edu.co/handle/unal/60394
http://bdigital.unal.edu.co/58726/
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/58600
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Dyna
Dyna
dc.relation.references.spa.fl_str_mv Anaya, Jesús Adolfo and Escobar Martínez, John Fernando and Massone, Héctor and Booman, Gisel and Quiroz Londoño, Orlando Mauricio and Cañón Barriga, César Camilo and Montoya Jaramillo, Luis Javier and Palomino Ángel, Sebastián (2017) Identification of wetland areas in the context of agricultural development using Remote Sensing and GIS. DYNA, 84 (201). pp. 186-194. 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
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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_abf2Anaya, Jesús Adolfo3aea232e-be1e-4ace-b54d-8e8f6f746833300Escobar Martínez, John Fernandoae78ee40-4637-4799-812e-064c1b58b20a300Massone, Héctorfa7c853a-1f2f-471d-a645-0fbf34b580fc300Booman, Gisela7534d0b-8b89-42ee-b642-aca624a4ecfb300Quiroz Londoño, Orlando Mauricioefd1da00-c863-4ca1-86fc-bba163e466c3300Cañón Barriga, César Camiloc081d91c-a8e8-4bb9-ab5f-80577f219a08300Montoya Jaramillo, Luis Javier7c98cb47-a57f-4b6a-84ed-65f34bba8e3b300Palomino Ángel, Sebastián363b6e66-4170-4d53-951a-29ac120215143002019-07-02T18:13:03Z2019-07-02T18:13:03Z2017-04-01ISSN: 2346-2183https://repositorio.unal.edu.co/handle/unal/60394http://bdigital.unal.edu.co/58726/This study aims to determine the wetland potential on a pixel basis on the floodplain of the Leon River: hydrology, hydrophytic vegetation and hydromorphic soils were taken into account. Field measurements and spatially explicit models were used to model surface hydrology and piezometric levels. Satellite data were used to derive inundated areas and vegetation. Existing maps from the national geographic institute (IGAC) were used to define the spatial distribution of hydromorphic soils. Special attention was paid to agricultural infrastructure, levees and diversion channels used to modify surface hydrology in order to promote plantations and cattle grazing. A total of 536 km2 meet one or more wetland conditions according to biophysical variables, but only 393 km2 were selected, using logical rules, as wetland pixels. The combination of biophysical variables to define wetland potential is discussed in terms of the spatial distribution and the implications for environmental resource management.El presente estudio tiene como fin determinar el potencial de humedales a nivel de pixel en la llanura de inundación del Río León, se consideraron aspectos de hidrología, vegetación hidrofítica y suelos hidromórficos. Se utilizaron mediciones en campo y modelos distribuidos espacialmente para modelar la hidrología superficial y los niveles piezométricos. También se utilizaron imágenes de satélite para determinar áreas inundadas y vegetación. Los mapas existentes del instituto geográfico Agustín Codazzi fueron utilizados para definir la distribución espacial de los suelos hidromórficos. Se prestó atención especial a la infraestructura agrícola, donde los diques artificiales y trasvases han sido utilizados para modificar la hidrología superficial con el fin de promover el establecimiento de plantaciones y pastoreo. Un total de 536 km2 cumplieron una o más condiciones de humedal según las variables biofísicas, pero solo 393 km2 fueron seleccionados mediante reglas lógicas como pixeles de humedal. La combinación de variables biofísicas para la definición del potencial de humedal es discutida en términos de la distribución espacial y las implicaciones para el manejo de los recursos naturales.application/pdfspaUniversidad Nacional de Colombia (Sede Medellín). Facultad de Minas.https://revistas.unal.edu.co/index.php/dyna/article/view/58600Universidad Nacional de Colombia Revistas electrónicas UN DynaDynaAnaya, Jesús Adolfo and Escobar Martínez, John Fernando and Massone, Héctor and Booman, Gisel and Quiroz Londoño, Orlando Mauricio and Cañón Barriga, César Camilo and Montoya Jaramillo, Luis Javier and Palomino Ángel, Sebastián (2017) Identification of wetland areas in the context of agricultural development using Remote Sensing and GIS. DYNA, 84 (201). pp. 186-194. ISSN 2346-218362 Ingeniería y operaciones afines / EngineeringWetlandagricultureenvironmental managementpiezometric levelstopographic wetness indexHumedalagriculturamanejo ambientalniveles piezométricosíndice topográfico de humedadIdentification of wetland areas in the context of agricultural development using Remote Sensing and GISArtículo 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/ARTORIGINAL58600-333137-1-PB.pdfapplication/pdf786221https://repositorio.unal.edu.co/bitstream/unal/60394/1/58600-333137-1-PB.pdfdced5079fd1968414fb9731f2d94180dMD51THUMBNAIL58600-333137-1-PB.pdf.jpg58600-333137-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg9837https://repositorio.unal.edu.co/bitstream/unal/60394/2/58600-333137-1-PB.pdf.jpgfd94b20f5675f1aea9d6b3025d837c23MD52unal/60394oai:repositorio.unal.edu.co:unal/603942023-04-06 23:05:51.813Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co