Satellite estimation of aboveground biomass and impacts of forest stand structure.

Detalhes bibliográficos
Autor(a) principal: LU, D.
Data de Publicação: 2005
Outros Autores: BATISTELLA, M., MORAN, E.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/17490
Resumo: Heterogeneous Amazonian landscapes and complex forest stand structure often make aboveground biomass (AGB) estimation difficult. In this study, spectral mixture analysis was used to convert a Landsat Thematic Mapper (TM) image into green vegetation, shade, and soil fraction images. Entropy was used to analyze the complexity of forest stand structure and to examine impacts of different stand structures on TM reflectance data. The relationships between AGB and fraction images or TM spectral signatures were investigated based on successional and primary forests, respectively, and AGB estimation models were developed for both types of forests. Our findings indicate that the AGB estimation models using fraction images perform better for successional forest biomass estimation than using TM spectral signatures. However, both models based on TM spectral signatures and fractions provided poor performance for primary forest biomass estimation. The complex stand structure and associated canopy shadow greatly reduced relationships between AGB and TM reflectance or fraction images.
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spelling Satellite estimation of aboveground biomass and impacts of forest stand structure.FlorestasMachadinho D´OesteRondôniaImpacto AmbientalVegetaçãoHeterogeneous Amazonian landscapes and complex forest stand structure often make aboveground biomass (AGB) estimation difficult. In this study, spectral mixture analysis was used to convert a Landsat Thematic Mapper (TM) image into green vegetation, shade, and soil fraction images. Entropy was used to analyze the complexity of forest stand structure and to examine impacts of different stand structures on TM reflectance data. The relationships between AGB and fraction images or TM spectral signatures were investigated based on successional and primary forests, respectively, and AGB estimation models were developed for both types of forests. Our findings indicate that the AGB estimation models using fraction images perform better for successional forest biomass estimation than using TM spectral signatures. However, both models based on TM spectral signatures and fractions provided poor performance for primary forest biomass estimation. The complex stand structure and associated canopy shadow greatly reduced relationships between AGB and TM reflectance or fraction images.Indiana University (1,3); Embrapa Monitoramento por Satélite (2).LU, D.BATISTELLA, M.MORAN, E.2014-08-21T06:27:41Z2014-08-21T06:27:41Z2006-05-1220052014-08-21T06:27:41Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlefolhas avulsasp. 967-974.Photogrammetric Engineering and Remote Sensing, v. 71, n. 8, aug. 2005.http://www.alice.cnptia.embrapa.br/alice/handle/doc/17490enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T00:19:40Zoai:www.alice.cnptia.embrapa.br:doc/17490Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T00:19:40falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T00:19:40Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Satellite estimation of aboveground biomass and impacts of forest stand structure.
title Satellite estimation of aboveground biomass and impacts of forest stand structure.
spellingShingle Satellite estimation of aboveground biomass and impacts of forest stand structure.
LU, D.
Florestas
Machadinho D´Oeste
Rondônia
Impacto Ambiental
Vegetação
title_short Satellite estimation of aboveground biomass and impacts of forest stand structure.
title_full Satellite estimation of aboveground biomass and impacts of forest stand structure.
title_fullStr Satellite estimation of aboveground biomass and impacts of forest stand structure.
title_full_unstemmed Satellite estimation of aboveground biomass and impacts of forest stand structure.
title_sort Satellite estimation of aboveground biomass and impacts of forest stand structure.
author LU, D.
author_facet LU, D.
BATISTELLA, M.
MORAN, E.
author_role author
author2 BATISTELLA, M.
MORAN, E.
author2_role author
author
dc.contributor.none.fl_str_mv Indiana University (1,3); Embrapa Monitoramento por Satélite (2).
dc.contributor.author.fl_str_mv LU, D.
BATISTELLA, M.
MORAN, E.
dc.subject.por.fl_str_mv Florestas
Machadinho D´Oeste
Rondônia
Impacto Ambiental
Vegetação
topic Florestas
Machadinho D´Oeste
Rondônia
Impacto Ambiental
Vegetação
description Heterogeneous Amazonian landscapes and complex forest stand structure often make aboveground biomass (AGB) estimation difficult. In this study, spectral mixture analysis was used to convert a Landsat Thematic Mapper (TM) image into green vegetation, shade, and soil fraction images. Entropy was used to analyze the complexity of forest stand structure and to examine impacts of different stand structures on TM reflectance data. The relationships between AGB and fraction images or TM spectral signatures were investigated based on successional and primary forests, respectively, and AGB estimation models were developed for both types of forests. Our findings indicate that the AGB estimation models using fraction images perform better for successional forest biomass estimation than using TM spectral signatures. However, both models based on TM spectral signatures and fractions provided poor performance for primary forest biomass estimation. The complex stand structure and associated canopy shadow greatly reduced relationships between AGB and TM reflectance or fraction images.
publishDate 2005
dc.date.none.fl_str_mv 2005
2006-05-12
2014-08-21T06:27:41Z
2014-08-21T06:27:41Z
2014-08-21T06:27:41Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Photogrammetric Engineering and Remote Sensing, v. 71, n. 8, aug. 2005.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/17490
identifier_str_mv Photogrammetric Engineering and Remote Sensing, v. 71, n. 8, aug. 2005.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/17490
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv folhas avulsas
p. 967-974.
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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