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| 92. |  | OLIVEIRA, M. V. N. d'; MELO, A. W. F. de; AMARAL, E. F. do; HAVERROTH, M. Mapa de biomassa seca acima do solo da Terra Indígena Kaxinawá Nova Olinda, município de Feijó, estado do Acre. Rio Branco, AC: Embrapa Acre, 2020. 44 p. (Embrapa Acre. Documentos, 163). Selo ODS 13, Selo ODS 15, Selo ODS 17.| Biblioteca(s): Embrapa Acre. |
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| Registros recuperados : 194 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Acre. |
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Data corrente: |
05/07/2017 |
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Data da última atualização: |
16/11/2023 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
QUEIROZ, A. M. de; OLIVEIRA, M. V. N. d'; OLIVEIRA, L. C. de; FIGUEIREDO, E. O. |
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Afiliação: |
Alisson Maia de Queiroz, Universidade Federal do Acre (Ufac); MARCUS VINICIO NEVES D OLIVEIRA, CPAF-Acre; LUIS CLAUDIO DE OLIVEIRA, CPAF-Acre; EVANDRO ORFANO FIGUEIREDO, CPAF-Acre. |
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Título: |
Uso do LiDAR para quantificação da perda de biomassa produzida pelo corte de árvores e extração das toras em uma floresta tropical manejada no Estado do Acre. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017. |
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Páginas: |
8 p. |
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ISBN: |
978-85-17-00088-1 |
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Idioma: |
Português |
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Conteúdo: |
Monitoring forest operations on logged areas is essential to identify the impacts caused to the residual. Light Detection and Ranging (LiDAR) has proven an effective tool to the quantification of the structural parameters and biomass loss on tropical forests. The objective of this study was through the use of repeated LiDAR flights to elaborate a regression model to estimate the biomass of the logged trees and to assess the biomass losses produced by tree cutting and logs extraction in a forest management area. The study was carried out in an annual production area in the Antimary state forest in Acre State, western Amazon. The results demonstrated that: i. the use of crown projection area as independent variable was sufficient to produce a robust model to estimate the biomass of individual trees; ii. the number of trees extracted alone did not explained the biomass loss in the plots and iii. there was a strong relationship between the total biomass loss estimated by the subtraction of the biomass before and after logging and the biomass of the extracted trees. We suggest that this relationship should be used as a quality indicator of the applied forest management techniques. |
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Palavras-Chave: |
Acre; Amazonia Occidental; Amazônia Ocidental; Análisis de regresión; Análisis estadístico; Biomasa; Bujari (AC); Desechos; Explotación forestal; Floresta Estadual do Antimary (AC); Geotécnica; Manejo florestal; Sena Madureira (AC); Teledetección; Western Amazon. |
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Thesagro: |
Análise estatística; Biomassa; Estimativa; Exploração florestal; Extração da madeira; Perda; Raio laser; Regressão linear; Sensoriamento remoto. |
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Thesaurus NAL: |
Biomass; Lásers; Lidar; Logging; Regression analysis; Remote sensing; Statistical analysis; Wastes. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/161400/1/26342.pdf
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Marc: |
LEADER 02850nam a2200553 a 4500
001 2072022
005 2023-11-16
008 2017 bl uuuu u00u1 u #d
020 $a978-85-17-00088-1
100 1 $aQUEIROZ, A. M. de
245 $aUso do LiDAR para quantificação da perda de biomassa produzida pelo corte de árvores e extração das toras em uma floresta tropical manejada no Estado do Acre.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe$c2017
300 $a8 p.
520 $aMonitoring forest operations on logged areas is essential to identify the impacts caused to the residual. Light Detection and Ranging (LiDAR) has proven an effective tool to the quantification of the structural parameters and biomass loss on tropical forests. The objective of this study was through the use of repeated LiDAR flights to elaborate a regression model to estimate the biomass of the logged trees and to assess the biomass losses produced by tree cutting and logs extraction in a forest management area. The study was carried out in an annual production area in the Antimary state forest in Acre State, western Amazon. The results demonstrated that: i. the use of crown projection area as independent variable was sufficient to produce a robust model to estimate the biomass of individual trees; ii. the number of trees extracted alone did not explained the biomass loss in the plots and iii. there was a strong relationship between the total biomass loss estimated by the subtraction of the biomass before and after logging and the biomass of the extracted trees. We suggest that this relationship should be used as a quality indicator of the applied forest management techniques.
650 $aBiomass
650 $aLásers
650 $aLidar
650 $aLogging
650 $aRegression analysis
650 $aRemote sensing
650 $aStatistical analysis
650 $aWastes
650 $aAnálise estatística
650 $aBiomassa
650 $aEstimativa
650 $aExploração florestal
650 $aExtração da madeira
650 $aPerda
650 $aRaio laser
650 $aRegressão linear
650 $aSensoriamento remoto
653 $aAcre
653 $aAmazonia Occidental
653 $aAmazônia Ocidental
653 $aAnálisis de regresión
653 $aAnálisis estadístico
653 $aBiomasa
653 $aBujari (AC)
653 $aDesechos
653 $aExplotación forestal
653 $aFloresta Estadual do Antimary (AC)
653 $aGeotécnica
653 $aManejo florestal
653 $aSena Madureira (AC)
653 $aTeledetección
653 $aWestern Amazon
700 1 $aOLIVEIRA, M. V. N. d'
700 1 $aOLIVEIRA, L. C. de
700 1 $aFIGUEIREDO, E. O.
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Embrapa Acre (CPAF-AC) |
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