Modeling biophysical parameters for the development of algorithm for the assessment and mapping of desertification risk

Detalhes bibliográficos
Autor(a) principal: LOPES, HELIO LEANDRO
Data de Publicação: 2009
Outros Autores: BEZERRA, ANA LUCIA, DE OLIVEIRA, LUCIANO JOSÉ, SOBRAL, MARIA DO CARMO
Tipo de documento: Artigo
Idioma: por
Título da fonte: Boletim de Ciências Geodésicas
Texto Completo: https://revistas.ufpr.br/bcg/article/view/16286
Resumo: The interaction of sustainable actions to integrate social, environmental and economical programs to quantify and qualify the degrees of degradation is of vital importance in areas of risk of desertification. This research presents the application of biophysical parameters and erosion potential to evaluate environmental degradation processes and to identify areas  at risk of desertification. The paper presents a general approach that can be used in other areas with similar biophysical characteristics. The model was based on the following parameters: albedo, emissivity, temperature, NDVI, soil heat flux, soil erosivity, soil erodibility and LS (slope length and slope or topographic factor). The model was implemented by using the LEGAL programming language available in the SPRING 4.0 Geographical Information System software package. Multitemporal images of TM sensor from the dry season were used to model and to apply the algorithm for mapping and evaluating the degradation evolution in the study area. The results showed an increasing in the degree of degradation (caatinga vegetation removal, followed by soil erosion), demonstrating the potential of the model to assess desertification risks. 
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spelling Modeling biophysical parameters for the development of algorithm for the assessment and mapping of desertification riskMODELAGEM DE PARÂMETROS BIOFÍSICOS PARA DESENVOLVIMENTO DE ALGORITMO PARA AVALIAÇÃO E ESPACIALIZAÇÃO DE RISCO A DESERTIFICAÇÃOFotogrametria e Sensoriamento RemotoModelagem Ambiental; Degradação da Caatinga; Indices de Vegetação; Sensoriamento Remoto.The interaction of sustainable actions to integrate social, environmental and economical programs to quantify and qualify the degrees of degradation is of vital importance in areas of risk of desertification. This research presents the application of biophysical parameters and erosion potential to evaluate environmental degradation processes and to identify areas  at risk of desertification. The paper presents a general approach that can be used in other areas with similar biophysical characteristics. The model was based on the following parameters: albedo, emissivity, temperature, NDVI, soil heat flux, soil erosivity, soil erodibility and LS (slope length and slope or topographic factor). The model was implemented by using the LEGAL programming language available in the SPRING 4.0 Geographical Information System software package. Multitemporal images of TM sensor from the dry season were used to model and to apply the algorithm for mapping and evaluating the degradation evolution in the study area. The results showed an increasing in the degree of degradation (caatinga vegetation removal, followed by soil erosion), demonstrating the potential of the model to assess desertification risks.  A interação de ações sustentáveis que integram programas sociais, ambientais e econômicos e procuram quantificar e  qualificar o grau de degradação tem importância vital em áreas de risco à  desertificação. Este trabalho mostra a aplicação de parâmetros biofísicos e Potencial Natural de Erosão (PNE) na avaliação de processos de degradação  e identificação de áreas em risco de desertificação. É uma aproximação empírica e pode ser usada em outras áreas com características biofísicas similares. O desenvolvimento do modelo foi baseado nos seguintes parâmetros: albedo, emissividade, temperatura da superfície, índice de vegetação da diferença normalizada (NDVI), fluxo de calor no solo e potencial natural de erosão (erodibilidade do solo, erosividade da chuva e fator topográfico). Sua implementação foi feita por meio da Linguagem Espacial para Geoprocessamento Algébrico (LEGAL), disponível no SPRING – Sistema de Processamento de Informações Georreferenciadas. Imagens multitemporais do sensor TM da época seca do satélite Landsat foram usadas para aplicar o modelo e mapear a evolução da degradação na  área de estudo (Bacia  hidrográfica do Rio Brígida). Os resultados mostraram um aumento no grau de degradação (remoção da cobertura vegetal nativa, seguida de erosão), revelando o potencial do modelo em acessar riscos à desertificação. Boletim de Ciências GeodésicasBulletin of Geodetic Sciences2009-12-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/bcg/article/view/16286Boletim de Ciências Geodésicas; Vol 15, No 4 (2009)Bulletin of Geodetic Sciences; Vol 15, No 4 (2009)1982-21701413-4853reponame:Boletim de Ciências Geodésicasinstname:Universidade Federal do Paraná (UFPR)instacron:UFPRporhttps://revistas.ufpr.br/bcg/article/view/16286/10777LOPES, HELIO LEANDROBEZERRA, ANA LUCIADE OLIVEIRA, LUCIANO JOSÉSOBRAL, MARIA DO CARMOinfo:eu-repo/semantics/openAccess2009-12-09T17:38:19Zoai:revistas.ufpr.br:article/16286Revistahttps://revistas.ufpr.br/bcgPUBhttps://revistas.ufpr.br/bcg/oaiqdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br1982-21701413-4853opendoar:2009-12-09T17:38:19Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)false
dc.title.none.fl_str_mv Modeling biophysical parameters for the development of algorithm for the assessment and mapping of desertification risk
MODELAGEM DE PARÂMETROS BIOFÍSICOS PARA DESENVOLVIMENTO DE ALGORITMO PARA AVALIAÇÃO E ESPACIALIZAÇÃO DE RISCO A DESERTIFICAÇÃO
title Modeling biophysical parameters for the development of algorithm for the assessment and mapping of desertification risk
spellingShingle Modeling biophysical parameters for the development of algorithm for the assessment and mapping of desertification risk
LOPES, HELIO LEANDRO
Fotogrametria e Sensoriamento Remoto
Modelagem Ambiental; Degradação da Caatinga; Indices de Vegetação; Sensoriamento Remoto.
title_short Modeling biophysical parameters for the development of algorithm for the assessment and mapping of desertification risk
title_full Modeling biophysical parameters for the development of algorithm for the assessment and mapping of desertification risk
title_fullStr Modeling biophysical parameters for the development of algorithm for the assessment and mapping of desertification risk
title_full_unstemmed Modeling biophysical parameters for the development of algorithm for the assessment and mapping of desertification risk
title_sort Modeling biophysical parameters for the development of algorithm for the assessment and mapping of desertification risk
author LOPES, HELIO LEANDRO
author_facet LOPES, HELIO LEANDRO
BEZERRA, ANA LUCIA
DE OLIVEIRA, LUCIANO JOSÉ
SOBRAL, MARIA DO CARMO
author_role author
author2 BEZERRA, ANA LUCIA
DE OLIVEIRA, LUCIANO JOSÉ
SOBRAL, MARIA DO CARMO
author2_role author
author
author
dc.contributor.author.fl_str_mv LOPES, HELIO LEANDRO
BEZERRA, ANA LUCIA
DE OLIVEIRA, LUCIANO JOSÉ
SOBRAL, MARIA DO CARMO
dc.subject.por.fl_str_mv Fotogrametria e Sensoriamento Remoto
Modelagem Ambiental; Degradação da Caatinga; Indices de Vegetação; Sensoriamento Remoto.
topic Fotogrametria e Sensoriamento Remoto
Modelagem Ambiental; Degradação da Caatinga; Indices de Vegetação; Sensoriamento Remoto.
description The interaction of sustainable actions to integrate social, environmental and economical programs to quantify and qualify the degrees of degradation is of vital importance in areas of risk of desertification. This research presents the application of biophysical parameters and erosion potential to evaluate environmental degradation processes and to identify areas  at risk of desertification. The paper presents a general approach that can be used in other areas with similar biophysical characteristics. The model was based on the following parameters: albedo, emissivity, temperature, NDVI, soil heat flux, soil erosivity, soil erodibility and LS (slope length and slope or topographic factor). The model was implemented by using the LEGAL programming language available in the SPRING 4.0 Geographical Information System software package. Multitemporal images of TM sensor from the dry season were used to model and to apply the algorithm for mapping and evaluating the degradation evolution in the study area. The results showed an increasing in the degree of degradation (caatinga vegetation removal, followed by soil erosion), demonstrating the potential of the model to assess desertification risks. 
publishDate 2009
dc.date.none.fl_str_mv 2009-12-09
dc.type.none.fl_str_mv

dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufpr.br/bcg/article/view/16286
url https://revistas.ufpr.br/bcg/article/view/16286
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistas.ufpr.br/bcg/article/view/16286/10777
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Boletim de Ciências Geodésicas
Bulletin of Geodetic Sciences
publisher.none.fl_str_mv Boletim de Ciências Geodésicas
Bulletin of Geodetic Sciences
dc.source.none.fl_str_mv Boletim de Ciências Geodésicas; Vol 15, No 4 (2009)
Bulletin of Geodetic Sciences; Vol 15, No 4 (2009)
1982-2170
1413-4853
reponame:Boletim de Ciências Geodésicas
instname:Universidade Federal do Paraná (UFPR)
instacron:UFPR
instname_str Universidade Federal do Paraná (UFPR)
instacron_str UFPR
institution UFPR
reponame_str Boletim de Ciências Geodésicas
collection Boletim de Ciências Geodésicas
repository.name.fl_str_mv Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)
repository.mail.fl_str_mv qdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br
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