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Registro Completo |
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Biblioteca(s): |
Embrapa Acre. |
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Data corrente: |
14/11/2014 |
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Data da última atualização: |
01/09/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ANDERSEN, H. E.; REUTEBUCH, S. E.; McGAUGHEY, R. J.; OLIVEIRA, M. V. N. d'.; KELLER, M. |
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Afiliação: |
Hans-Erik Andersen, USDA Forest Service; Stephen E. Reutebuch, USDA Forest Service; Robert J.McGaughey, USDA Forest Service; MARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC; Michael Keller, USDA Forest Service. |
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Título: |
Monitoring selective logging in western Amazonia with repeat lidar flights. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Remote Sensing of Environment, v. 151, p. 157-165, Aug. 2014. |
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DOI: |
10.1016/j.rse.2013.08.049 |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this study was to test the use of repeat flight, airborne laser scanning data (lidar) for estimating changes associatedwith low-impact selective logging (approx. 10-15 m3 ha-1 = 5-7% of total standing volume harvested) in natural tropical forests in the Western Brazilian Amazon. Specifically, we investigated change in area impacted by selective logging, change in tall canopy (30 m+) area, change in lidar canopy structuremetrics, and change in above ground biomass (AGB) using a model-based statistical framework. Ground plot measurements were only available from the time of the 2010 lidar acquisition. A simple differencing of the 2010 and 2011 lidar canopy height models identified areas where canopy over 30 m tall had been removed. Area of tall canopy dropped from 22.8% in 2010 to 18.7% in 2011, a reduction of 4.1%. Using a relative density model (RDM) technique the increase in area of roads, skidtrails, landings, and felled tree gaps was estimated to be 17.1%. A lidar-based regression model for estimating AGB was developed using lidar metrics from the 2010 lidar acquisition and corresponding AGB ground plot measurements. The estimator was then used to compute AGB estimates for the site in 2010 and 2011 using the 2010 and 2011 lidar acquisition data, respectively. A model-based statistical approach was then used to estimate the uncertainty of the changes in AGB between the acquisitions. Change in RDMs between lidar acquisitions was used to classify each 50 m cell in the study area as impacted or non-impacted by logging. The change in mean AGB for the entire study area was −9.1 Mg ha−1 ± 1.9 (mean ± SD) (P-value b 0.0001). The change in mean AGB for areas newly impacted in 2011 was −17.9 ± 3.1 Mg ha−1 (P-value b 0.0001) while the change in mean AGB for non-impacted areaswas significantly less at-2.6 ± 1.1 Mg ha−1 (P-value = 0.009). These results provide corroborating evidence of the spatial extent and magnitude of change due to low-intensity logging in tropical forests with heavy residual canopy cover. MenosThe objective of this study was to test the use of repeat flight, airborne laser scanning data (lidar) for estimating changes associatedwith low-impact selective logging (approx. 10-15 m3 ha-1 = 5-7% of total standing volume harvested) in natural tropical forests in the Western Brazilian Amazon. Specifically, we investigated change in area impacted by selective logging, change in tall canopy (30 m+) area, change in lidar canopy structuremetrics, and change in above ground biomass (AGB) using a model-based statistical framework. Ground plot measurements were only available from the time of the 2010 lidar acquisition. A simple differencing of the 2010 and 2011 lidar canopy height models identified areas where canopy over 30 m tall had been removed. Area of tall canopy dropped from 22.8% in 2010 to 18.7% in 2011, a reduction of 4.1%. Using a relative density model (RDM) technique the increase in area of roads, skidtrails, landings, and felled tree gaps was estimated to be 17.1%. A lidar-based regression model for estimating AGB was developed using lidar metrics from the 2010 lidar acquisition and corresponding AGB ground plot measurements. The estimator was then used to compute AGB estimates for the site in 2010 and 2011 using the 2010 and 2011 lidar acquisition data, respectively. A model-based statistical approach was then used to estimate the uncertainty of the changes in AGB between the acquisitions. Change in RDMs between lidar acquisitions was used to classify each 50 m c... Mostrar Tudo |
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Palavras-Chave: |
Acre; Amazonia Occidental; Amazônia Ocidental; Explotación forestal; Extração seletiva de madeira; Factores ambientales; Floresta Estadual do Antimary (AC); Geotécnica; Monitoramento ambiental; Teledetección; Western Amazon. |
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Thesagro: |
Condição ambiental; Extração da madeira; Floresta tropical; Impacto ambiental; Raio laser; Sensoriamento remoto. |
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Thesaurus Nal: |
Amazonía; Environmental factors; Environmental impact; Lásers; Lidar; Logging; Remote sensing. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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001 2000225
005 2021-09-01
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1016/j.rse.2013.08.049$2DOI
100 1 $aANDERSEN, H. E.
245 $aMonitoring selective logging in western Amazonia with repeat lidar flights.$h[electronic resource]
260 $c2014
520 $aThe objective of this study was to test the use of repeat flight, airborne laser scanning data (lidar) for estimating changes associatedwith low-impact selective logging (approx. 10-15 m3 ha-1 = 5-7% of total standing volume harvested) in natural tropical forests in the Western Brazilian Amazon. Specifically, we investigated change in area impacted by selective logging, change in tall canopy (30 m+) area, change in lidar canopy structuremetrics, and change in above ground biomass (AGB) using a model-based statistical framework. Ground plot measurements were only available from the time of the 2010 lidar acquisition. A simple differencing of the 2010 and 2011 lidar canopy height models identified areas where canopy over 30 m tall had been removed. Area of tall canopy dropped from 22.8% in 2010 to 18.7% in 2011, a reduction of 4.1%. Using a relative density model (RDM) technique the increase in area of roads, skidtrails, landings, and felled tree gaps was estimated to be 17.1%. A lidar-based regression model for estimating AGB was developed using lidar metrics from the 2010 lidar acquisition and corresponding AGB ground plot measurements. The estimator was then used to compute AGB estimates for the site in 2010 and 2011 using the 2010 and 2011 lidar acquisition data, respectively. A model-based statistical approach was then used to estimate the uncertainty of the changes in AGB between the acquisitions. Change in RDMs between lidar acquisitions was used to classify each 50 m cell in the study area as impacted or non-impacted by logging. The change in mean AGB for the entire study area was −9.1 Mg ha−1 ± 1.9 (mean ± SD) (P-value b 0.0001). The change in mean AGB for areas newly impacted in 2011 was −17.9 ± 3.1 Mg ha−1 (P-value b 0.0001) while the change in mean AGB for non-impacted areaswas significantly less at-2.6 ± 1.1 Mg ha−1 (P-value = 0.009). These results provide corroborating evidence of the spatial extent and magnitude of change due to low-intensity logging in tropical forests with heavy residual canopy cover.
650 $aAmazonía
650 $aEnvironmental factors
650 $aEnvironmental impact
650 $aLásers
650 $aLidar
650 $aLogging
650 $aRemote sensing
650 $aCondição ambiental
650 $aExtração da madeira
650 $aFloresta tropical
650 $aImpacto ambiental
650 $aRaio laser
650 $aSensoriamento remoto
653 $aAcre
653 $aAmazonia Occidental
653 $aAmazônia Ocidental
653 $aExplotación forestal
653 $aExtração seletiva de madeira
653 $aFactores ambientales
653 $aFloresta Estadual do Antimary (AC)
653 $aGeotécnica
653 $aMonitoramento ambiental
653 $aTeledetección
653 $aWestern Amazon
700 1 $aREUTEBUCH, S. E.
700 1 $aMcGAUGHEY, R. J.
700 1 $aOLIVEIRA, M. V. N. d'.
700 1 $aKELLER, M.
773 $tRemote Sensing of Environment$gv. 151, p. 157-165, Aug. 2014.
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Registro original: |
Embrapa Acre (CPAF-AC) |
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