Modelling rates of ecosystem recovery after fires by using Landsat TM data

The aim of this work consists of monitoring the recovery process after fire by means of satellite imagery. The objectives are to assess` the regrowth pathways followed by different species populations after a disturbance, to analyze the speed of recovery in the years following fire, and, finally, to...

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Detalles Bibliográficos
Autores: Viedma Sillero, María Olga, Meliá, Joaquín, Segarra, D., García Haro, Francisco Javier
Tipo de recurso: artículo
Fecha de publicación:1997
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/26733
Acceso en línea:https://hdl.handle.net/10578/26733
Access Level:acceso abierto
Palabra clave:Ecosystem recovery
Recovery speed
Regrowth pathways
Rates of regrowth
Landsat TM
Fires
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spelling Modelling rates of ecosystem recovery after fires by using Landsat TM dataViedma Sillero, María OlgaMeliá, JoaquínSegarra, D.García Haro, Francisco JavierEcosystem recoveryRecovery speedRegrowth pathwaysRates of regrowthLandsat TMFiresThe aim of this work consists of monitoring the recovery process after fire by means of satellite imagery. The objectives are to assess` the regrowth pathways followed by different species populations after a disturbance, to analyze the speed of recovery in the years following fire, and, finally, to estimate rates of regrowth. The test area is located in the north of the province of Alicante, on the Mediterranean coast of Spain. This area, especially prone to finest fires, shows a remarkable land-use history and human pressure. The test areas belong to different microclimatic zones, show diverse vegetation communities, and have different degrees of stoniness; so we attempted to discover their postfire behaviors according to their bioaeographical conditions. To accomplish these objectives, we used nine Landsat .5 thematic mapper images from 1984 to 1994 to which geometric and radioneetrie corrections were applied. Once the comparability between images was guaranteed, we generated a normalized difference vegetation index (NDVI) for each date. First, we demonstrated that the differences between (NDVI) images were suitable for mapping burned areas. Second, we undertook a nonlinear regression. analysis between NDVI values and the time elapsed since the fire to assess the recovery processes. The exponential adjustment between NDVI and three wa.s in. accord with the asymptotic behavior observed when the -recovery process is complete. The parameters supplied by the proposed method are helpful in quantifying the effects of fire on different ecosystein processes.Elsevier202020201997info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://hdl.handle.net/10578/26733reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésinfo:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/267332026-05-27T07:36:41Z
dc.title.none.fl_str_mv Modelling rates of ecosystem recovery after fires by using Landsat TM data
title Modelling rates of ecosystem recovery after fires by using Landsat TM data
spellingShingle Modelling rates of ecosystem recovery after fires by using Landsat TM data
Viedma Sillero, María Olga
Ecosystem recovery
Recovery speed
Regrowth pathways
Rates of regrowth
Landsat TM
Fires
title_short Modelling rates of ecosystem recovery after fires by using Landsat TM data
title_full Modelling rates of ecosystem recovery after fires by using Landsat TM data
title_fullStr Modelling rates of ecosystem recovery after fires by using Landsat TM data
title_full_unstemmed Modelling rates of ecosystem recovery after fires by using Landsat TM data
title_sort Modelling rates of ecosystem recovery after fires by using Landsat TM data
dc.creator.none.fl_str_mv Viedma Sillero, María Olga
Meliá, Joaquín
Segarra, D.
García Haro, Francisco Javier
author Viedma Sillero, María Olga
author_facet Viedma Sillero, María Olga
Meliá, Joaquín
Segarra, D.
García Haro, Francisco Javier
author_role author
author2 Meliá, Joaquín
Segarra, D.
García Haro, Francisco Javier
author2_role author
author
author
dc.subject.none.fl_str_mv Ecosystem recovery
Recovery speed
Regrowth pathways
Rates of regrowth
Landsat TM
Fires
topic Ecosystem recovery
Recovery speed
Regrowth pathways
Rates of regrowth
Landsat TM
Fires
description The aim of this work consists of monitoring the recovery process after fire by means of satellite imagery. The objectives are to assess` the regrowth pathways followed by different species populations after a disturbance, to analyze the speed of recovery in the years following fire, and, finally, to estimate rates of regrowth. The test area is located in the north of the province of Alicante, on the Mediterranean coast of Spain. This area, especially prone to finest fires, shows a remarkable land-use history and human pressure. The test areas belong to different microclimatic zones, show diverse vegetation communities, and have different degrees of stoniness; so we attempted to discover their postfire behaviors according to their bioaeographical conditions. To accomplish these objectives, we used nine Landsat .5 thematic mapper images from 1984 to 1994 to which geometric and radioneetrie corrections were applied. Once the comparability between images was guaranteed, we generated a normalized difference vegetation index (NDVI) for each date. First, we demonstrated that the differences between (NDVI) images were suitable for mapping burned areas. Second, we undertook a nonlinear regression. analysis between NDVI values and the time elapsed since the fire to assess the recovery processes. The exponential adjustment between NDVI and three wa.s in. accord with the asymptotic behavior observed when the -recovery process is complete. The parameters supplied by the proposed method are helpful in quantifying the effects of fire on different ecosystein processes.
publishDate 1997
dc.date.none.fl_str_mv 1997
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10578/26733
url https://hdl.handle.net/10578/26733
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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