Phytomass mapping of the "seridó caatinga" vegetation by the plant area and the normalized difference vegetation indeces
Autor(a) principal: | |
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Data de Publicação: | 2002 |
Outros Autores: | , , , |
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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Scientia Agrícola (Online) |
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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 |
_version_ |
1787713253582831616 |