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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
12/05/2006 |
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Data da última atualização: |
20/08/2014 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
LU, D.; BATISTELLA, M.; MORAN, E. |
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Afiliação: |
Indiana University (1,3); Embrapa Monitoramento por Satélite (2). |
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Título: |
Satellite estimation of aboveground biomass and impacts of forest stand structure. |
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Ano de publicação: |
2005 |
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Fonte/Imprenta: |
Photogrammetric Engineering and Remote Sensing, v. 71, n. 8, aug. 2005. |
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Páginas: |
p. 967-974. |
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Descrição Física: |
folhas avulsas |
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Idioma: |
Inglês |
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Conteúdo: |
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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Palavras-Chave: |
Florestas; Machadinho D´Oeste; Rondônia. |
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Thesagro: |
Impacto Ambiental; Vegetação. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/106870/1/1801.pdf
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Marc: |
LEADER 01729naa a2200217 a 4500
001 1017490
005 2014-08-20
008 2005 bl uuuu u00u1 u #d
100 1 $aLU, D.
245 $aSatellite estimation of aboveground biomass and impacts of forest stand structure.$h[electronic resource]
260 $c2005
300 $ap. 967-974.$cfolhas avulsas
520 $aHeterogeneous 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.
650 $aImpacto Ambiental
650 $aVegetação
653 $aFlorestas
653 $aMachadinho D´Oeste
653 $aRondônia
700 1 $aBATISTELLA, M.
700 1 $aMORAN, E.
773 $tPhotogrammetric Engineering and Remote Sensing$gv. 71, n. 8, aug. 2005.
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Embrapa Territorial (CNPM) |
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| 6. |  | QUEIROZ, E. F. de; SILVA, R. J. B. da; OLIVEIRA, M. C. N. de. Modelo de analise de regressao periodica da precipitacao mensal, da bacia atlantico sudeste, no Estado do Parana. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 36, n. 5, p. 727-42, maio 2001 Título em inglês: A model for monthly rainfall periodic regression analysis, of the southeast Atlantic basin, on Paraná State.| Tipo: Artigo em Periódico Indexado |
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