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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Ocidental; Embrapa Rondônia; Embrapa Soja; Embrapa Unidades Centrais. |
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Data corrente: |
31/07/2015 |
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Data da última atualização: |
28/06/2016 |
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Tipo da produção científica: |
Circular Técnica |
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Autoria: |
GODOY, C. V.; UTIAMADA, C. M.; MEYER, M. C.; CAMPOS, H. D.; FORCELINI, C. A.; PIMENTA, C. B.; CASSETARI NETO, D.; JACCOUD FILHO, D. S.; BORGES, E. P.; ANDRADE JUNIOR, E. R. de; SIQUERI, F. V.; JULIATTI, F. C.; FEKSA, H. R.; GRIGOLLI, J. F. J.; NUNES JUNIOR, J.; CARNEIRO, L. C.; SILVA, L. H. C. P. da; SATO, L. N.; CANTERI, M. G.; MADALOSSO, M.; GOUSSAIN, M.; MARTINS, M. C.; BALARDIN, R. S.; FURLAN, S. H.; MONTECELLI, T. D. N.; CARLIN, V. J.; VENANCIO, W. S. |
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Afiliação: |
CLAUDIA VIEIRA GODOY, CNPSO; CARLOS M. UTIAMADA, TAGRO; MAURICIO CONRADO MEYER, CNPSO; HERCULES D. CAMPOS, UniRV; CARLOS A. FORCELINI, Universidade de Passo Fundo; CLAUDIA B. PIMENTA, Emater-GO; DANIEL CASSETARI NETO, UFMT; DAVID S. JACCOUD FILHO, UEPG; EDSON P. BORGES, FUNDAÇÃO CHAPADÃO; EDSON R. DE ANDRADE JUNIOR, IMAMT; FABIANO V. SIQUERI, Fundação Mato Grosso; FERNANDO C. JULIATTI, UFU; HERALDO R. FEKSA, FAPA; JOSÉ FERNANDO JURCA GRIGOLLI, Fundação MS; JOSÉ NUNES JUNIOR, CTPA; UFGo; LUÍS HENRIQUE C. P. da SILVA, UniRV; LUIZ NOBUO SATO, TAGRO; MARCELO G. CANTERI, UEL; MARCELO MADALOSSO, Instituto Phytus; MARCIO GOUSSAIN, Assist Consultoria; MÔNICA C. MARTINS, Círculo Verde Assessoria; RICARDO S. BALARDIN, UFSM; SILVÂNIA H. FURLAN, IAC; TATIANE D. NORA MONTECELLI, COODETEC; VALTEMIR J. CARLIN, Agrodinâmica; WILSON STORY VENANCIO, UEPG. |
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Título: |
Eficiência de fungicidas para o controle da ferrugem-asiática da soja, Phakopsora pachyrhizi, na safra 2014/15: resultados sumarizados dos ensaios cooperativos. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Londrina: Embrapa Soja, 2015. |
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Páginas: |
6 p. |
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Série: |
(Embrapa Soja. Circular técnica, 111). |
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ISSN: |
2176-2864 |
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Idioma: |
Português |
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Conteúdo: |
Material e métodos; Resultados e discussão. |
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Palavras-Chave: |
Ferrrugem asiática da soja. |
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Thesagro: |
Phakopsora pachyrhizi; Soja; Uredósporo. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/133782/1/CT111-online.pdf
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Marc: |
LEADER 01509nam a2200505 a 4500
001 2021068
005 2016-06-28
008 2015 bl uuuu u0uu1 u #d
022 $a2176-2864
100 1 $aGODOY, C. V.
245 $aEficiência de fungicidas para o controle da ferrugem-asiática da soja, Phakopsora pachyrhizi, na safra 2014/15$bresultados sumarizados dos ensaios cooperativos.
260 $aLondrina: Embrapa Soja$c2015
300 $a6 p.
490 $a(Embrapa Soja. Circular técnica, 111).
520 $aMaterial e métodos; Resultados e discussão.
650 $aPhakopsora pachyrhizi
650 $aSoja
650 $aUredósporo
653 $aFerrrugem asiática da soja
700 1 $aUTIAMADA, C. M.
700 1 $aMEYER, M. C.
700 1 $aCAMPOS, H. D.
700 1 $aFORCELINI, C. A.
700 1 $aPIMENTA, C. B.
700 1 $aCASSETARI NETO, D.
700 1 $aJACCOUD FILHO, D. S.
700 1 $aBORGES, E. P.
700 1 $aANDRADE JUNIOR, E. R. de
700 1 $aSIQUERI, F. V.
700 1 $aJULIATTI, F. C.
700 1 $aFEKSA, H. R.
700 1 $aGRIGOLLI, J. F. J.
700 1 $aNUNES JUNIOR, J.
700 1 $aCARNEIRO, L. C.
700 1 $aSILVA, L. H. C. P. da
700 1 $aSATO, L. N.
700 1 $aCANTERI, M. G.
700 1 $aMADALOSSO, M.
700 1 $aGOUSSAIN, M.
700 1 $aMARTINS, M. C.
700 1 $aBALARDIN, R. S.
700 1 $aFURLAN, S. H.
700 1 $aMONTECELLI, T. D. N.
700 1 $aCARLIN, V. J.
700 1 $aVENANCIO, W. S.
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Registro original: |
Embrapa Soja (CNPSO) |
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Registro Completo
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Biblioteca(s): |
Embrapa Acre; Embrapa Instrumentação. |
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Data corrente: |
01/06/2020 |
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Data da última atualização: |
28/06/2021 |
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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: |
OLIVEIRA, M. V. N. d'; BROADBENT, E. N.; OLIVEIRA, L. C. de; ALMEIDA, D. R. A.; PAPA, D. de A.; FERREIRA, M. E.; ZAMBRANO, A. M. A.; SILVA, C. A.; AVINO, F. S.; PRATA, G. A.; MELLO, R. A.; FIGUEIREDO, E. O.; JORGE, L. A. de C.; JUNIOR, L.; ALBUQUERQUE, R. W.; BRANCALION, P. H. S.; WILKINSON, B.; COSTA, M. O. da. |
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Afiliação: |
MARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC; Eben N. Broadbent, University of Florida; LUIS CLAUDIO DE OLIVEIRA, CPAF-AC; Danilo R. A. Almeida, University of Florida / USP/ESALQ; DANIEL DE ALMEIDA PAPA, CPAF-AC; Manuel E. Ferreira, Universidade Federal de Goiás; Angelica M. Almeyda Zambrano, University of Florida; Carlos A. Silva, University of Florida / University of Maryland; Felipe S. Avino, WWF-Brasil; Gabriel A. Prata, University of Florida; Ricardo A. Mello, WWF-Brasil; EVANDRO ORFANO FIGUEIREDO, CPAF-AC; LUCIO ANDRE DE CASTRO JORGE, CNPDIA; Leomar Junior, Universidade Federal de Goiás; Rafael W. Albuquerque, Universidade de São Paulo; Pedro H. S. Brancalion, USP/ESALQ; Ben Wilkinson, University of Florida; Marcelo Oliveira-da-Costa, WWF-Brasil. |
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Título: |
Aboveground biomass estimation in Amazonian Tropical Forests: a comparison of aircraft- and GatorEye UAV- borne LiDAR data in the Chico Mendes Extractive Reserve in Acre, Brazil. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Remote Sensing, v. 12, n. 11, 1754, May 2020. |
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ISSN: |
2072-4292 |
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DOI: |
10.3390/rs12111754 |
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Idioma: |
Inglês |
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Conteúdo: |
Tropical forests are often located in dicult-to-access areas, which make high-quality forest structure information dicult and expensive to obtain by traditional field-based approaches.
LiDAR (acronym for Light Detection And Ranging) data have been used throughout the world to produce time-ecient and wall-to-wall structural parameter estimates for monitoring in native and commercial forests. In this study, we compare products and aboveground biomass (AGB) estimations from LiDAR data acquired using an aircraft-borne system in 2015 and data collected by the unmanned aerial vehicle (UAV)-based GatorEye Unmanned Flying Laboratory in 2017 for ten forest inventory plots located in the Chico Mendes Extractive Reserve in Acre state, southwestern Brazilian Amazon. The LiDAR products were similar and comparable among the two platforms and sensors. Principal dierences between derived products resulted from the GatorEye system flying lower and slower and having increased returns per second than the aircraft, resulting in a much higher point density overall (11.3 1.8 vs. 381.2 58 pts/m2). Dierences in ground point density, however, were much smaller among the systems, due to the larger pulse area and increased number of returns per pulse of the aircraft system, with the GatorEye showing an approximately 50% higher ground point density (0.27 0.09 vs. 0.42 0.09). The LiDAR models produced by both sensors presented similar results for digital elevation models and estimated AGB. Our results validate the ability for UAV-borne LiDAR sensors to accurately quantify AGB in dense high-leaf-area tropical forests in the Amazon. We also highlight new possibilities using the dense point clouds of UAV-borne systems for analyses of detailed crown structure and leaf area density distribution of the forest interior. MenosTropical forests are often located in dicult-to-access areas, which make high-quality forest structure information dicult and expensive to obtain by traditional field-based approaches.
LiDAR (acronym for Light Detection And Ranging) data have been used throughout the world to produce time-ecient and wall-to-wall structural parameter estimates for monitoring in native and commercial forests. In this study, we compare products and aboveground biomass (AGB) estimations from LiDAR data acquired using an aircraft-borne system in 2015 and data collected by the unmanned aerial vehicle (UAV)-based GatorEye Unmanned Flying Laboratory in 2017 for ten forest inventory plots located in the Chico Mendes Extractive Reserve in Acre state, southwestern Brazilian Amazon. The LiDAR products were similar and comparable among the two platforms and sensors. Principal dierences between derived products resulted from the GatorEye system flying lower and slower and having increased returns per second than the aircraft, resulting in a much higher point density overall (11.3 1.8 vs. 381.2 58 pts/m2). Dierences in ground point density, however, were much smaller among the systems, due to the larger pulse area and increased number of returns per pulse of the aircraft system, with the GatorEye showing an approximately 50% higher ground point density (0.27 0.09 vs. 0.42 0.09). The LiDAR models produced by both sensors presented similar results for digital elevation models and estimated AGB. Our resul... Mostrar Tudo |
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Palavras-Chave: |
Acre; Amazonia Occidental; Amazônia Ocidental; Biomassa aérea; Bosques tropicales; Drone; GatorEye; Inventario forestal; Monitoreo; RESEX Chico Mendes; Seringal Filipinas (AC); Teledetección; Vehículos aéreos no tripulados; Western Amazon. |
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Thesagro: |
Estimativa; Floresta Tropical; Inventário Florestal; Raio Laser; Reconhecimento Florestal; Sensoriamento Remoto. |
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Thesaurus NAL: |
Aboveground biomass; Forest inventory; Lidar; Monitoring; Remote sensing; Tropical forests; Unmanned aerial vehicles. |
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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/213504/1/27002.pdf
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Marc: |
LEADER 03791naa a2200673 a 4500
001 2122818
005 2021-06-28
008 2020 bl uuuu u00u1 u #d
022 $a2072-4292
024 7 $a10.3390/rs12111754$2DOI
100 1 $aOLIVEIRA, M. V. N. d'
245 $aAboveground biomass estimation in Amazonian Tropical Forests$ba comparison of aircraft- and GatorEye UAV- borne LiDAR data in the Chico Mendes Extractive Reserve in Acre, Brazil.$h[electronic resource]
260 $c2020
520 $aTropical forests are often located in dicult-to-access areas, which make high-quality forest structure information dicult and expensive to obtain by traditional field-based approaches. LiDAR (acronym for Light Detection And Ranging) data have been used throughout the world to produce time-ecient and wall-to-wall structural parameter estimates for monitoring in native and commercial forests. In this study, we compare products and aboveground biomass (AGB) estimations from LiDAR data acquired using an aircraft-borne system in 2015 and data collected by the unmanned aerial vehicle (UAV)-based GatorEye Unmanned Flying Laboratory in 2017 for ten forest inventory plots located in the Chico Mendes Extractive Reserve in Acre state, southwestern Brazilian Amazon. The LiDAR products were similar and comparable among the two platforms and sensors. Principal dierences between derived products resulted from the GatorEye system flying lower and slower and having increased returns per second than the aircraft, resulting in a much higher point density overall (11.3 1.8 vs. 381.2 58 pts/m2). Dierences in ground point density, however, were much smaller among the systems, due to the larger pulse area and increased number of returns per pulse of the aircraft system, with the GatorEye showing an approximately 50% higher ground point density (0.27 0.09 vs. 0.42 0.09). The LiDAR models produced by both sensors presented similar results for digital elevation models and estimated AGB. Our results validate the ability for UAV-borne LiDAR sensors to accurately quantify AGB in dense high-leaf-area tropical forests in the Amazon. We also highlight new possibilities using the dense point clouds of UAV-borne systems for analyses of detailed crown structure and leaf area density distribution of the forest interior.
650 $aAboveground biomass
650 $aForest inventory
650 $aLidar
650 $aMonitoring
650 $aRemote sensing
650 $aTropical forests
650 $aUnmanned aerial vehicles
650 $aEstimativa
650 $aFloresta Tropical
650 $aInventário Florestal
650 $aRaio Laser
650 $aReconhecimento Florestal
650 $aSensoriamento Remoto
653 $aAcre
653 $aAmazonia Occidental
653 $aAmazônia Ocidental
653 $aBiomassa aérea
653 $aBosques tropicales
653 $aDrone
653 $aGatorEye
653 $aInventario forestal
653 $aMonitoreo
653 $aRESEX Chico Mendes
653 $aSeringal Filipinas (AC)
653 $aTeledetección
653 $aVehículos aéreos no tripulados
653 $aWestern Amazon
700 1 $aBROADBENT, E. N.
700 1 $aOLIVEIRA, L. C. de
700 1 $aALMEIDA, D. R. A.
700 1 $aPAPA, D. de A.
700 1 $aFERREIRA, M. E.
700 1 $aZAMBRANO, A. M. A.
700 1 $aSILVA, C. A.
700 1 $aAVINO, F. S.
700 1 $aPRATA, G. A.
700 1 $aMELLO, R. A.
700 1 $aFIGUEIREDO, E. O.
700 1 $aJORGE, L. A. de C.
700 1 $aJUNIOR, L.
700 1 $aALBUQUERQUE, R. W.
700 1 $aBRANCALION, P. H. S.
700 1 $aWILKINSON, B.
700 1 $aCOSTA, M. O. da
773 $tRemote Sensing$gv. 12, n. 11, 1754, May 2020.
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Embrapa Acre (CPAF-AC) |
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