Phytomass mapping of the "seridó caatinga" vegetation by the plant area and the normalized difference vegetation indeces

Detalhes bibliográficos
Autor(a) principal: Costa, Thomaz Corrêa e Castro da
Data de Publicação: 2002
Outros Autores: Accioly, Luciano José de Oliveira, Oliveira, Maria Ap. José de, Burgos, Nivaldo, Silva, Flávio Hugo Barreto Batista da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: https://www.revistas.usp.br/sa/article/view/21789
Resumo: Phytomass is a critical information for economic and environmental activities like the establishment of policies for timber resources, forest management, studies of plant nutrient cycling, CO2 sink, among other. The phytomass of a Caatinga area was obtained by an empirical method using normalized difference vegetation index (NDVI) of Landsat images, the plant area index (PAI) and the phytomass inventory. At a first stage, linear, logarithmic and non-linear models were developed and tested. Bush and tree specimens were considered in the study, so that most of the individuals that contribute to the spectral answer detected by satellite images were included. At a second stage, the orbital parameter NDVI was used to map the PAI, which was used to map the phytomass, based on the relationship of this phytomass as a function of PAI. The residues between measurements and estimates based on NDVI varied from 0 to 84%, while the residues of total dry weight of phytomass per ha obtained by mapping and by dendrometrical equations varied from 5 to 104%, with a large trend of 166 and 448% in open Caatinga areas, due to the contribution of the herbaceous stratum to NDVI.
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spelling Phytomass mapping of the "seridó caatinga" vegetation by the plant area and the normalized difference vegetation indeces Mapeamento da fitomassa da caatinga do seridó pelos índices de área de planta e de vegetação da diferença normalizada CO2LAIbiomassa aéreadesertificaçãoCO2LAIaboveground biomassdesertification Phytomass is a critical information for economic and environmental activities like the establishment of policies for timber resources, forest management, studies of plant nutrient cycling, CO2 sink, among other. The phytomass of a Caatinga area was obtained by an empirical method using normalized difference vegetation index (NDVI) of Landsat images, the plant area index (PAI) and the phytomass inventory. At a first stage, linear, logarithmic and non-linear models were developed and tested. Bush and tree specimens were considered in the study, so that most of the individuals that contribute to the spectral answer detected by satellite images were included. At a second stage, the orbital parameter NDVI was used to map the PAI, which was used to map the phytomass, based on the relationship of this phytomass as a function of PAI. The residues between measurements and estimates based on NDVI varied from 0 to 84%, while the residues of total dry weight of phytomass per ha obtained by mapping and by dendrometrical equations varied from 5 to 104%, with a large trend of 166 and 448% in open Caatinga areas, due to the contribution of the herbaceous stratum to NDVI. A fitomassa, principalmente arbórea, é informação necessária em atividades econômicas e ambientais, como políticas de uso do recurso madeireiro, manejo florestal, estudos de ciclagem de nutrientes, absorção de CO2, entre outros. A finalidade deste estudo foi a verificação de um método empírico para o mapeamento da fitomassa da Caatinga do Seridó, integrando-se um inventário de fitomassa, o índice de área de planta (IAP) e o índice de vegetação da diferença normalizada (NDVI), por meio de imagens Landsat TM. Na primeira etapa foram desenvolvidos e testados modelos lineares, logarítmicos e não lineares. A abordagem de tamanho foi arbustiva e arbórea, incluindo-se a maior parte dos indivíduos que contribuem na resposta espectral mensurada por imagens de satélite. Em uma segunda etapa utilizamos o parâmetro orbital, NDVI, para o mapeamento do IAP, que por sua vez, foi utilizado para mapear a fitomassa. Os desvios entre mensurações de IAP e estimativas a partir do NDVI, variaram de 0 a 84%, enquanto que os desvios entre Peso Seco Total de Fitomassa por ha obtidos pelo mapeamento e por equações dendrométricas, variaram de 5 a 104%, com grandes tendências de 166 e 448% para áreas de caatinga aberta, provocada pela contribuição do estrato herbáceo no NDVI. Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2002-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/2178910.1590/S0103-90162002000400014Scientia Agricola; v. 59 n. 4 (2002); 707-715Scientia Agricola; Vol. 59 No. 4 (2002); 707-715Scientia Agricola; Vol. 59 Núm. 4 (2002); 707-7151678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/21789/23813Copyright (c) 2015 Scientia Agricolainfo:eu-repo/semantics/openAccessCosta, Thomaz Corrêa e Castro daAccioly, Luciano José de OliveiraOliveira, Maria Ap. José deBurgos, NivaldoSilva, Flávio Hugo Barreto Batista da2015-07-07T16:14:06Zoai:revistas.usp.br:article/21789Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2015-07-07T16:14:06Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Phytomass mapping of the "seridó caatinga" vegetation by the plant area and the normalized difference vegetation indeces
Mapeamento da fitomassa da caatinga do seridó pelos índices de área de planta e de vegetação da diferença normalizada
title Phytomass mapping of the "seridó caatinga" vegetation by the plant area and the normalized difference vegetation indeces
spellingShingle Phytomass mapping of the "seridó caatinga" vegetation by the plant area and the normalized difference vegetation indeces
Costa, Thomaz Corrêa e Castro da
CO2
LAI
biomassa aérea
desertificação
CO2
LAI
aboveground biomass
desertification
title_short Phytomass mapping of the "seridó caatinga" vegetation by the plant area and the normalized difference vegetation indeces
title_full Phytomass mapping of the "seridó caatinga" vegetation by the plant area and the normalized difference vegetation indeces
title_fullStr Phytomass mapping of the "seridó caatinga" vegetation by the plant area and the normalized difference vegetation indeces
title_full_unstemmed Phytomass mapping of the "seridó caatinga" vegetation by the plant area and the normalized difference vegetation indeces
title_sort Phytomass mapping of the "seridó caatinga" vegetation by the plant area and the normalized difference vegetation indeces
author Costa, Thomaz Corrêa e Castro da
author_facet Costa, Thomaz Corrêa e Castro da
Accioly, Luciano José de Oliveira
Oliveira, Maria Ap. José de
Burgos, Nivaldo
Silva, Flávio Hugo Barreto Batista da
author_role author
author2 Accioly, Luciano José de Oliveira
Oliveira, Maria Ap. José de
Burgos, Nivaldo
Silva, Flávio Hugo Barreto Batista da
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Costa, Thomaz Corrêa e Castro da
Accioly, Luciano José de Oliveira
Oliveira, Maria Ap. José de
Burgos, Nivaldo
Silva, Flávio Hugo Barreto Batista da
dc.subject.por.fl_str_mv CO2
LAI
biomassa aérea
desertificação
CO2
LAI
aboveground biomass
desertification
topic CO2
LAI
biomassa aérea
desertificação
CO2
LAI
aboveground biomass
desertification
description Phytomass is a critical information for economic and environmental activities like the establishment of policies for timber resources, forest management, studies of plant nutrient cycling, CO2 sink, among other. The phytomass of a Caatinga area was obtained by an empirical method using normalized difference vegetation index (NDVI) of Landsat images, the plant area index (PAI) and the phytomass inventory. At a first stage, linear, logarithmic and non-linear models were developed and tested. Bush and tree specimens were considered in the study, so that most of the individuals that contribute to the spectral answer detected by satellite images were included. At a second stage, the orbital parameter NDVI was used to map the PAI, which was used to map the phytomass, based on the relationship of this phytomass as a function of PAI. The residues between measurements and estimates based on NDVI varied from 0 to 84%, while the residues of total dry weight of phytomass per ha obtained by mapping and by dendrometrical equations varied from 5 to 104%, with a large trend of 166 and 448% in open Caatinga areas, due to the contribution of the herbaceous stratum to NDVI.
publishDate 2002
dc.date.none.fl_str_mv 2002-12-01
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://www.revistas.usp.br/sa/article/view/21789
10.1590/S0103-90162002000400014
url https://www.revistas.usp.br/sa/article/view/21789
identifier_str_mv 10.1590/S0103-90162002000400014
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/21789/23813
dc.rights.driver.fl_str_mv Copyright (c) 2015 Scientia Agricola
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2015 Scientia Agricola
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
dc.source.none.fl_str_mv Scientia Agricola; v. 59 n. 4 (2002); 707-715
Scientia Agricola; Vol. 59 No. 4 (2002); 707-715
Scientia Agricola; Vol. 59 Núm. 4 (2002); 707-715
1678-992X
0103-9016
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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