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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
21/11/2013 |
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Data da última atualização: |
25/11/2013 |
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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/UNIVERSITY OF WASHINGTON; STEPHEN E. REUTEBUCH, USDA FOREST SERVICE/UNIVERSITY OF WASHINGTON; ROBERT J. MCGAUGHEY, USDA FOREST SERVICE/UNIVERSITY OF WASHINGTON; MARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC; MICHAEL KELLER, PESQUISADOR VISITANTE CNPM. |
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Título: |
Monitoring selective logging in western Amazonia with repeat lidar flights. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Remote Sensing of Environment, v. 11, n. 3, p. 5783-5804, 2013. |
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DOI: |
10.1016/j.rse.2013.08.049 |
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Idioma: |
Português |
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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 ... Mostrar Tudo |
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Palavras-Chave: |
Airborne laser scanning; Amazon forest monitoring; Forest biomass; Selective logging; Tropical forest management. |
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Thesaurus Nal: |
Lidar. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/92875/1/Monitoring-selective-logging-in-western-Amazonia-with-repeat-lidar-flights.pdf
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Marc: |
LEADER 02873naa a2200253 a 4500
001 1971828
005 2013-11-25
008 2013 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 $c2013
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 $aLidar
653 $aAirborne laser scanning
653 $aAmazon forest monitoring
653 $aForest biomass
653 $aSelective logging
653 $aTropical forest management
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. 11, n. 3, p. 5783-5804, 2013.
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Registro original: |
Embrapa Territorial (CNPM) |
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Biblioteca(s): |
Embrapa Meio-Norte. |
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Data corrente: |
28/07/2011 |
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Data da última atualização: |
07/06/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
KEMENES, A.; FORSBERG, B. R.; MELACK, J. M. |
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Afiliação: |
ALEXANDRE KEMENES, CPAMN; BRUCE R. FORSBERG, Instituto Nacional de Pesquisas da Amazonia, Manaus, Brazil; JOHN M. MELACK, Bren School of Environmental Science and Management, University of California, Santa Barbara, California, USA. |
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Título: |
CO2 emissions from a tropical hydroelectric reservoir (Balbina, Brazil). |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Journal of Geophysical Research, Washington, v. 116, n. G03004, p. 1-11, 2011. |
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Idioma: |
Inglês |
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Conteúdo: |
Hydroelectric reservoirs can release significant quantities of CO2, but very few results are available from the tropics. The objective of the present study was to estimate the emission of CO2 from the Balbina hydroelectric reservoir in the central Brazilian Amazon. Diffusive and ebullitive emissions were estimated at regular intervals, both above and below the dam, using a combination of static chambers and submerged funnels. Gas releases immediately below the dam were calculated as the difference between gas flux at the entrance and the outflow of the hydroelectric turbines. An inundation model derived from a bathymetric map and daily stage readings was used for spatial and temporal interpolation of reservoir emissions. Annual emissions of CO2, upstream and downstream of Balbina dam for 2005, were estimated as 2450 and 81 Gg C, respectively, for a total annual flux of 2531 Gg C. Upstream emissions were predominantly diffusive with only 0.02 Gg C yr-1 resulting from ebullition. On average, 51% of the downstream emission was released by degassing at the turbine outflow, and the remainder was lost by diffusion from the downstream river. The total annual greenhouse gas emission from Balbina dam, including the CO2 equivalent of previously estimated CH4 emissions, was 3 Tg C yr-1, equivalent to approximately 50% of the CO2 emissions derived from the burning of fossil fuels in the Brazilian metropolis of São Paulo. |
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Palavras-Chave: |
CO2; Emissão de gás carbônico. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/38854/1/CO2emissions.pdf
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Marc: |
LEADER 01931naa a2200169 a 4500
001 1896953
005 2022-06-07
008 2011 bl uuuu u00u1 u #d
100 1 $aKEMENES, A.
245 $aCO2 emissions from a tropical hydroelectric reservoir (Balbina, Brazil).
260 $c2011
520 $aHydroelectric reservoirs can release significant quantities of CO2, but very few results are available from the tropics. The objective of the present study was to estimate the emission of CO2 from the Balbina hydroelectric reservoir in the central Brazilian Amazon. Diffusive and ebullitive emissions were estimated at regular intervals, both above and below the dam, using a combination of static chambers and submerged funnels. Gas releases immediately below the dam were calculated as the difference between gas flux at the entrance and the outflow of the hydroelectric turbines. An inundation model derived from a bathymetric map and daily stage readings was used for spatial and temporal interpolation of reservoir emissions. Annual emissions of CO2, upstream and downstream of Balbina dam for 2005, were estimated as 2450 and 81 Gg C, respectively, for a total annual flux of 2531 Gg C. Upstream emissions were predominantly diffusive with only 0.02 Gg C yr-1 resulting from ebullition. On average, 51% of the downstream emission was released by degassing at the turbine outflow, and the remainder was lost by diffusion from the downstream river. The total annual greenhouse gas emission from Balbina dam, including the CO2 equivalent of previously estimated CH4 emissions, was 3 Tg C yr-1, equivalent to approximately 50% of the CO2 emissions derived from the burning of fossil fuels in the Brazilian metropolis of São Paulo.
653 $aCO2
653 $aEmissão de gás carbônico
700 1 $aFORSBERG, B. R.
700 1 $aMELACK, J. M.
773 $tJournal of Geophysical Research, Washington$gv. 116, n. G03004, p. 1-11, 2011.
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