Multitemporal land use change analysis in San Fernando, Tamaulipas for the Period 1987 to 2017

Land Use Change (LUC) tends to have a negative effect on global atmospheric and climate processes. The objective of this paper was to assess the LUC for the San Fernando, Tamaulipas, Mexico municipality, during the period comprehended between 1987 and 2017. The classification by segmentation method...

Full description

Saved in:

Bibliographic Details
Main Authors:	Salinas-Castillo, Wilver Enrique, Terrazas-Ruiz, Marijose, Mora-Olivo, Arturo, Paredes-Hernández, Cutberto Uriel
Format:	Online
Language:	spa
Published:	Universidad Autónoma de Tamaulipas 2020
Online Access:	https://revistaciencia.uat.edu.mx/index.php/CienciaUAT/article/view/1298
Tags:	Add Tag No Tags, Be the first to tag this record!

id	oai:ojs.pkp.sfu.ca:article-1298
record_format	ojs
spelling	oai:ojs.pkp.sfu.ca:article-12982020-07-31T23:34:40Z Multitemporal land use change analysis in San Fernando, Tamaulipas for the Period 1987 to 2017 Análisis multitemporal de cambios de uso de la tierra en San Fernando, Tamaulipas, durante el periodo 1987 a 2017 Salinas-Castillo, Wilver Enrique Terrazas-Ruiz, Marijose Mora-Olivo, Arturo Paredes-Hernández, Cutberto Uriel land use change detection segmentation Landsat uso de la tierra detección de cambios segmentación Landsat Land Use Change (LUC) tends to have a negative effect on global atmospheric and climate processes. The objective of this paper was to assess the LUC for the San Fernando, Tamaulipas, Mexico municipality, during the period comprehended between 1987 and 2017. The classification by segmentation method was applied to satellite images obtained from 1987, 1997, 2007 and 2017, which allowed for a reduction in the noise that is characteristic of pixel-based classification. However, it was necessary to edit the results in order to recover human settlements, eliminate clouds and shadows, and reduce the confusion between vegetation cover and cultivated agricultural land in order to avoid introducing artificial LUC in the statistics produced. The multitemporal analysis showed a clear trend in the reduction of vegetation cover (- 6.53 %) and of areas devoid of vegetation (- 1.71 %). Likewise, the results also highlight a significant increase of agricultural land (+ 7.61 %), which seems to be unassociated with the increase of human settlements (+ 0.08 %). The developed methodology seems to be appropriate and of easy implementation to carry out the LUC analysis in other regions of interest. El cambio de uso de la tierra (CUT) tiende a impactar de manera negativa los procesos atmosféricos y climáticos globales. El presente artículo tuvo como objetivo evaluar el CUT en el municipio de San Fernando, Tamaulipas, México, durante el periodo 1987 a 2017. Se utilizó el método de clasificación por segmentación de imágenes satelitales, de los años 1987, 1997, 2007 y 2017, el cual, permitió reducir el ruido característico de la clasificación basada en pixeles. Sin embargo, fue necesario editar los resultados, para recuperar los asentamientos humanos, eliminar nubes y sombras, y reducir los efectos de confusión entre cobertura vegetal y zonas agrícolas con cultivos presentes, para evitar introducir CUT artificiales en las estadísticas obtenidas. El análisis multitemporal mostró una clara tendencia en la reducción de la cobertura vegetal (- 6.53 %) y del área sin vegetación aparente (- 1.71 %). También se observó un importante incremento en el uso agrícola (+ 7.61 %), que no pareció. estar asociado a un incremento en asentamientos humanos (+ 0.08 %). La metodología desarrollada parece ser adecuada y fácil de implementar para el análisis de CUT en regiones de interés. Universidad Autónoma de Tamaulipas 2020-01-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf text/html text/xml https://revistaciencia.uat.edu.mx/index.php/CienciaUAT/article/view/1298 10.29059/cienciauat.v14i2.1298 CienciaUAT; Vol 14 No. 2. January-June 2020; 160-173 CienciaUAT; Vol. 14 No. 2: Enero-Junio 2020; 160-173 2007-7858 2007-7521 spa https://revistaciencia.uat.edu.mx/index.php/CienciaUAT/article/view/1298/677 https://revistaciencia.uat.edu.mx/index.php/CienciaUAT/article/view/1298/710 https://revistaciencia.uat.edu.mx/index.php/CienciaUAT/article/view/1298/776 Derechos de autor 2020 CienciaUAT
institution	CIENCIA UAT
collection	OJS
language	spa
format	Online
author	Salinas-Castillo, Wilver Enrique Terrazas-Ruiz, Marijose Mora-Olivo, Arturo Paredes-Hernández, Cutberto Uriel
spellingShingle	Salinas-Castillo, Wilver Enrique Terrazas-Ruiz, Marijose Mora-Olivo, Arturo Paredes-Hernández, Cutberto Uriel Multitemporal land use change analysis in San Fernando, Tamaulipas for the Period 1987 to 2017
author_facet	Salinas-Castillo, Wilver Enrique Terrazas-Ruiz, Marijose Mora-Olivo, Arturo Paredes-Hernández, Cutberto Uriel
author_sort	Salinas-Castillo, Wilver Enrique
title	Multitemporal land use change analysis in San Fernando, Tamaulipas for the Period 1987 to 2017
title_short	Multitemporal land use change analysis in San Fernando, Tamaulipas for the Period 1987 to 2017
title_full	Multitemporal land use change analysis in San Fernando, Tamaulipas for the Period 1987 to 2017
title_fullStr	Multitemporal land use change analysis in San Fernando, Tamaulipas for the Period 1987 to 2017
title_full_unstemmed	Multitemporal land use change analysis in San Fernando, Tamaulipas for the Period 1987 to 2017
title_sort	multitemporal land use change analysis in san fernando, tamaulipas for the period 1987 to 2017
description	Land Use Change (LUC) tends to have a negative effect on global atmospheric and climate processes. The objective of this paper was to assess the LUC for the San Fernando, Tamaulipas, Mexico municipality, during the period comprehended between 1987 and 2017. The classification by segmentation method was applied to satellite images obtained from 1987, 1997, 2007 and 2017, which allowed for a reduction in the noise that is characteristic of pixel-based classification. However, it was necessary to edit the results in order to recover human settlements, eliminate clouds and shadows, and reduce the confusion between vegetation cover and cultivated agricultural land in order to avoid introducing artificial LUC in the statistics produced. The multitemporal analysis showed a clear trend in the reduction of vegetation cover (- 6.53 %) and of areas devoid of vegetation (- 1.71 %). Likewise, the results also highlight a significant increase of agricultural land (+ 7.61 %), which seems to be unassociated with the increase of human settlements (+ 0.08 %). The developed methodology seems to be appropriate and of easy implementation to carry out the LUC analysis in other regions of interest.
publisher	Universidad Autónoma de Tamaulipas
publishDate	2020
url	https://revistaciencia.uat.edu.mx/index.php/CienciaUAT/article/view/1298
work_keys_str_mv	AT salinascastillowilverenrique multitemporallandusechangeanalysisinsanfernandotamaulipasfortheperiod1987to2017 AT terrazasruizmarijose multitemporallandusechangeanalysisinsanfernandotamaulipasfortheperiod1987to2017 AT moraolivoarturo multitemporallandusechangeanalysisinsanfernandotamaulipasfortheperiod1987to2017 AT paredeshernandezcutbertouriel multitemporallandusechangeanalysisinsanfernandotamaulipasfortheperiod1987to2017 AT salinascastillowilverenrique analisismultitemporaldecambiosdeusodelatierraensanfernandotamaulipasduranteelperiodo1987a2017 AT terrazasruizmarijose analisismultitemporaldecambiosdeusodelatierraensanfernandotamaulipasduranteelperiodo1987a2017 AT moraolivoarturo analisismultitemporaldecambiosdeusodelatierraensanfernandotamaulipasduranteelperiodo1987a2017 AT paredeshernandezcutbertouriel analisismultitemporaldecambiosdeusodelatierraensanfernandotamaulipasduranteelperiodo1987a2017
_version_	1712116145005264896

Multitemporal land use change analysis in San Fernando, Tamaulipas for the Period 1987 to 2017

Similar Items