Land degradation and remote sensing in plains next to centenario city, neuquén province

AbstractIn this paper the status of land degradation is analyzed in a plains sector near Centenario town in Neuquén Province. To carry on this analysis it was used digital processing of satellite images which were analyzed within the conceptual framework of landscape ecology (Forman and Godron, 1986...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Bertani, Luis Alberto, Peña (†), Oscar R.
Formato: Artículo revista
Lenguaje:Español
Publicado: Facultad de Humanidades Universidad Nacional del Comahue 2015
Materias:
Acceso en línea:http://revele.uncoma.edu.ar/index.php/geografia/article/view/1076
Aporte de:
id I22-R128-article-1076
record_format ojs
institution Universidad Nacional del Comahue
institution_str I-22
repository_str R-128
container_title_str Repositorio de Revistas Electrónicas REVELE (UNComahue)
language Español
format Artículo revista
topic Remote sensing
landscape ecology
plains
Centenario
teledetección
ecología del paisaje
planicies
Centenario
spellingShingle Remote sensing
landscape ecology
plains
Centenario
teledetección
ecología del paisaje
planicies
Centenario
Bertani, Luis Alberto
Peña (†), Oscar R.
Land degradation and remote sensing in plains next to centenario city, neuquén province
topic_facet Remote sensing
landscape ecology
plains
Centenario
teledetección
ecología del paisaje
planicies
Centenario
author Bertani, Luis Alberto
Peña (†), Oscar R.
author_facet Bertani, Luis Alberto
Peña (†), Oscar R.
author_sort Bertani, Luis Alberto
title Land degradation and remote sensing in plains next to centenario city, neuquén province
title_short Land degradation and remote sensing in plains next to centenario city, neuquén province
title_full Land degradation and remote sensing in plains next to centenario city, neuquén province
title_fullStr Land degradation and remote sensing in plains next to centenario city, neuquén province
title_full_unstemmed Land degradation and remote sensing in plains next to centenario city, neuquén province
title_sort land degradation and remote sensing in plains next to centenario city, neuquén province
description AbstractIn this paper the status of land degradation is analyzed in a plains sector near Centenario town in Neuquén Province. To carry on this analysis it was used digital processing of satellite images which were analyzed within the conceptual framework of landscape ecology (Forman and Godron, 1986).The study area comprises the old river terraces of Neuquén River, from a Pleistocene age, which have a sandy mantle that covers them, which usually constitutes the horizon where the soils that allow the development of a xeric vegetation, typical of the arid environments, in the eastern part of the Neuquén Province. This place is exposed to intense human activity for more than 50 years, related to hydrocarbon extraction what should be added, given the proximity of urban centers, the permanent removal of plant species for use as fuel.In addition to the information obtained during the field trips and the analysis of the background to this, the methodology involves the use of GIS Idrisi (Kilimanjaro version) for the digital processing of Landsat ETM satellite imagery provided by CONAE. The results were compared with information obtained from various field trips, and to recognize different matrices, patches and corridors, according to the methodology of Landscape Ecology.
publisher Facultad de Humanidades Universidad Nacional del Comahue
publishDate 2015
url http://revele.uncoma.edu.ar/index.php/geografia/article/view/1076
work_keys_str_mv AT bertaniluisalberto landdegradationandremotesensinginplainsnexttocentenariocityneuquenprovince
AT penaoscarr landdegradationandremotesensinginplainsnexttocentenariocityneuquenprovince
AT bertaniluisalberto degradaciondetierrasyteledeteccionenplaniciesproximasalalocalidaddecentenarioprovinciadeneuquen
AT penaoscarr degradaciondetierrasyteledeteccionenplaniciesproximasalalocalidaddecentenarioprovinciadeneuquen
bdutipo_str Revistas
_version_ 1764819787824758787