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| Registros recuperados : 14 | |
| 2. |  | RODRIGUES, L. de S.; CAIXETA FILHO, E.; SAKIYAMA, K.; SANTOS, M. F.; JANK, L.; CARROMEU, C.; SILVEIRA, E.; MATSUBARA, E. T.; MARCATO JUNIOR, J.; GONCALVES, W. N. Deep4Fusion: a Deep FORage Fusion framework for high-throughput phenotyping for green and dry matter yield traits. Computers and Electronics in Agriculture, v. 211, 2023. 14 p.| Biblioteca(s): Embrapa Gado de Corte. |
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| 3. | | OSCO, L. P.; ARRUDA, M. S.; GONÇALVES, D. N.; DIAS, A.; BATISTOTI, J.; SOUZA, M.; GOMES, F. D. G.; RAMOS, A. P. M.; JORGE, L. A. de C.; LIESENBERG, V.; LI, J.; MA, L.; MARCATO JUNIOR, J.; GONÇALVES, W. N. A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery. ISPRS Journal of Photogrammetry and Remote Sensing, v. 174, 2021. 1 - 17| Biblioteca(s): Embrapa Instrumentação. |
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| 4. | | OSCO, L. P.; NOGUEIRA, K.; RAMOS, A. P. M.; PINHEIRO, M. M. F.; FURUYA, D. E. G.; GONÇALVES, W. N.; JORGE, L. A. de C.; MARCATO JUNIOR, J.; SANTOS, J. A. Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery. Precision Agriculture, v. 22, n. 4,2021. 1171-1188| Biblioteca(s): Embrapa Instrumentação. |
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| 5. | | CASTRO, W.; MARCATO JUNIOR, J.; POLIDORO, C.; OSCO, L. P.; GONÇALVES, W.; RODRIGUES, L.; SANTOS, M. F.; JANK, L.; BARRIOS, S. C. L.; RESENDE, R. M. S.; CARROMEU, C.; SILVEIRA, E.; JORGE, L. A. de C. Deep learning applied to phenotyping of biomass in forages with UAV-based RGB imagery. Sensors v. 20, a. 4802, 2020. 1 - 18| Biblioteca(s): Embrapa Gado de Corte; Embrapa Instrumentação. |
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| 6. | | OSCO, L. P.; MARCATO JUNIOR, J.; RAMOS, A. P. M.; JORGE, L. A. de C.; FATHOLAHI, S. N.; SILVA, J. A.; MATSUBARA, E. T.; PISTORI, H.; GONÇALVES, W. N.; LI, J. A review on deep learning in UAV remote sensing. International Journal of Applied Earth Observations and Geoinformation, v. 102, 102456, 2021. 1 - 22| Biblioteca(s): Embrapa Instrumentação. |
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| 7. | | OLIVEIRA, G. S. de; MARCATO JUNIOR, J.; POLIDORO, C.; OSCO, L. P.; SIQUEIRA, H.; RODRIGUES, L.; JANK, L.; BARRIOS, S. C. L.; VALLE, C.; SIMEÃO, R. M.; CARROMEU, C.; SILVEIRA, E.; JORGE, L. A. de C.; GONÇALVES, W.; SANTOS, M. F.; MATSUBARA, E. Convolutional Neural Networks to Estimate Dry Matter Yield in a Guineagrass Breeding Program Using UAV Remote Sensing. Sensors, v. 21, n. 3971, 2021.| Biblioteca(s): Embrapa Gado de Corte; Embrapa Instrumentação. |
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| 8. | | RAMOS, A. P. M.; GOMES, F. D. G.; PINHEIRO, M. M. F.; FURUYA, D. E. G.; GONÇALVEZ, W. N.; MARCATO JUNIOR, J.; MICHEREFF, M. F. F.; MORAES, M. C. B.; BORGES, M.; LAUMANN, R. A.; LIESENBERG, V.; JORGE, L. A. de C.; OSCO, L. P. Detecting the attack of the fall armyworm (Spodoptera frugiperda) in cotton plants with machine learning and spectral measurements. Precision Agriculture, 2021. Na publicação: Maria Carolina Blassioli-Moraes; Raúl Alberto Alaumann.| Biblioteca(s): Embrapa Instrumentação; Embrapa Recursos Genéticos e Biotecnologia. |
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| 9. | | OSCO, L. P.; RAMOS, A. P. M.; PINHEIRO, M. M. F.; MORIYA, E. A. S.; IMAI, N. N.; ESTRABIS, N.; IANCZYK, F.; ARAÚJO, F. F.; LIESENBERG, V.; JORGE, L. A. de C.; LI, J.; MA, L.; GONÇALVES, W. N.; MARCATO JUNIOR, J.; CRESTE, J. E. A machine learning framework to predict nutrient content in valencia-orange leaf hyperspectral measurements. Remote Sensing, n. 12, v. 6, a. 906, 2020. 1 - 21| Biblioteca(s): Embrapa Instrumentação. |
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| 10. | | OSCO, L. P.; FURUYA, D. E. G.; FURUYA, M. T. G.; CORRÊA, D. V.; GONÇALVEZ, W. N.; MARCATO JUNIOR, J.; BORGES, M.; BLASSIOLI-MORAES, M. C.; MICHEREFF, M. F. F.; AQUUINO, M. F. S.; LAUMANN, R. A.; LISENBERG, V.; RAMOS, A. P. M.; JORGE, L. A. de C. An impact analysis of pre-processing techniques in spectroscopy data to classify insect-damaged in soybean plants with machine and deep learning methods. Infrared Physics & Technology, v. 123, 104203, 2022. 13 p.| Biblioteca(s): Embrapa Instrumentação. |
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| 11. | | OSCO, L. P.; FURUYA, D. E. G.; FURUYA, M. T. G.; CORRÊA, D. V.; GONÇALVEZ, W. N.; MARCATO JUNIOR, J.; BORGES, M.; MORAES, M. C. B.; MICHEREFF, M. F. F.; AQUINO, M. F. S.; LAUMANN, R. A.; LISENBERG, V.; RAMOS, A. P. M.; JORGE, L. A. de C. An impact analysis of pre-processing techniques in spectroscopy data to classify insect-damaged in soybean plants with machine and deep learning methods. Infrared Physics & Technology, v. 123, 2022. 104203. Na publicação: Maria Carolina Blassioli-Moraes.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 12. | | FURUYA, D. E. G.; MA, L.; PINHEIRO, M. M. F.; GOMES, F. D. G.; GONÇALVEZ, W. N.; MARCATO JUNIOR, J.; RODRIGUES, D. de C.; BLASSIOLI- MORAES, M. C.; MICHEREFF, M. F. F.; BORGES, M.; ALAUMANN, R. A.; FERREIRA, E. J.; OSCO, L. P.; RAMOS, A. P. M.; LI, J.; JORGE, L. A. de C. Prediction of insect-herbivory-damage and insect-type attack in maize plants using hyperspectral data. International Journal of Applied Earth Observation and Geoinformation, v. 105, 102608, 2021. 1 - 10| Biblioteca(s): Embrapa Instrumentação. |
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| 13. | | FURUYA, D. E. G.; MA, L.; PINHEIRO, M. M. F.; GOMES, F. D. G.; GONÇALVEZ, W. N.; MARCATO JUNIOR, J.; RODRIGUES, D. de C.; BLASSIOLI- MORAES, M. C.; MICHEREFF, M. F. F.; BORGES, M.; LAUMANN, R. A.; FERREIRA, E. J.; OSCO, L. P.; RAMOS, A. P. M.; LI, J.; JORGE, L. A. de C. Prediction of insect-herbivory-damage and insect-type attack in maize plants using hyperspectral data. International Journal of Applied Earth Observation and Geoinformation, v. 105, 102608, 2021. 1 - 10| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 14. | | WANTZEN, K. M.; ASSINE, M. L.; BORTOLOTTO, I. M.; CALHEIROS, D. F.; CAMPOS, Z.; CATELLA, A. C.; CHIARAVALOTTI, R. M.; COLLISCHONN, W.; COUTO, E. G.; CUNHA, C. N. da; DAMASCENO-JUNIOR, G. A.; SILVA, C. J. da; EBERHARD, A.; EBERT, A.; FIGUEIREDO, D. M. de; FRIEDLANDER, M.; GARCIA, L. C.; GIRARD, P.; HAMILTON, S. K.; IKEDA-CASTRILLON, S.; LIBONATI, R.; LOURIVAL, R.; MACEDO, H. de A.; MARCATO JUNIOR, J.; MATEUS, L.; MORATO, R. G.; MOURAO, G.; MUNIZ, C. C.; NUNES, A. V.; OLIVEIRA, M. D. de; OLIVERIA, M. da R.; OLIVEIRA JUNIOR, E. S.; PADOVANI, C. R.; PENHA, J.; RIBEIRO, D. B.; ROQUE, F. de O.; SILVA, A.; SORIANO, B. M. A.; SOUSA JUNIOR, W. C.; TOMAS, W. M.; TORTATO, F. R.; URBANETZ, C. The end of an entire biome? World's largest wetland, the Pantanal, is menaced by the Hidrovia project which is uncertain to sustainably support large-scale navigation. Science of The Total Environment, v. 908, 167751, 2024.| Biblioteca(s): Embrapa Pantanal. |
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| Registros recuperados : 14 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
27/03/2024 |
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Data da última atualização: |
10/04/2024 |
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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: |
WANTZEN, K. M.; ASSINE, M. L.; BORTOLOTTO, I. M.; CALHEIROS, D. F.; CAMPOS, Z.; CATELLA, A. C.; CHIARAVALOTTI, R. M.; COLLISCHONN, W.; COUTO, E. G.; CUNHA, C. N. da; DAMASCENO-JUNIOR, G. A.; SILVA, C. J. da; EBERHARD, A.; EBERT, A.; FIGUEIREDO, D. M. de; FRIEDLANDER, M.; GARCIA, L. C.; GIRARD, P.; HAMILTON, S. K.; IKEDA-CASTRILLON, S.; LIBONATI, R.; LOURIVAL, R.; MACEDO, H. de A.; MARCATO JUNIOR, J.; MATEUS, L.; MORATO, R. G.; MOURAO, G.; MUNIZ, C. C.; NUNES, A. V.; OLIVEIRA, M. D. de; OLIVERIA, M. da R.; OLIVEIRA JUNIOR, E. S.; PADOVANI, C. R.; PENHA, J.; RIBEIRO, D. B.; ROQUE, F. de O.; SILVA, A.; SORIANO, B. M. A.; SOUSA JUNIOR, W. C.; TOMAS, W. M.; TORTATO, F. R.; URBANETZ, C. |
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Afiliação: |
KARL M. WANTZEN, UNIVERSITY OF STRASBOURG; MARIO LUIS ASSINE, UNIVERSITY OF BRASILIA; IEDA MARIA BORTOLOTTO, MATO GROSSO DO SUL FEDERAL UNIVERSITY; DEBORA FERNANDES CALHEIROS, FEDERAL PUBLIC MINISTRY; ZILCA MARIA DA SILVA CAMPOS, CPAP; AGOSTINHO CARLOS CATELLA, CPAP; RAFAEL MORAIS CHIARAVALOTTI, UNIVERSITY COLLEGE LONDON; WALTER COLLISCHONN, RIO GRANDE DO SUL FEDERAL UNIVERSITY; EDUARDO GUIMARÃES COUTO, MATO GROSSO FEDERAL UNIVERSITY; CATIA NUNES DA CUNHA, NATIONAL INSTITUTE FOR WETLAND SCIENCE AND TECHNOLOGY; GERALDO ALVES DAMASCENO-JUNIOR, MATO GROSSO DO SUL FEDERAL UNIVERSITY; CAROLINA JOANA DA SILVA, PANTANAL BIOSPHERE RESERVE; ADALBERTO EBERHARD, FOUNDER OF ECOTROPICA FOUNDATION; ALEXANDRE EBERT, MATO GROSSO FEDERAL UNIVERSITY; DANIELA MAIMONI DE FIGUEIREDO, MATO GROSSO FEDERAL UNIVERSITY; MARIO FRIEDLANDER, COMISSAO DE DEFESA DAS CABECEIRAS DO JAMACA; LETICIA COUTO GARCIA, MATO GROSSO DO SUL FEDERAL UNIVERSITY; PIERRE GIRARD, MATO GROSSO FEDERAL UNIVERSITY; STEPHEN K. HAMILTON, MICHIGAN STATE UNIVERSITY; SOLANGE IKEDA-CASTRILLON, MATO GROSSO STATE UNIVERSITY; RENATA LIBONATI, RIO DE JANEIRO FEDERAL UNIVERSITY; REINALDO LOURIVAL, SAN DIEGO STATE UNIVERSITY; HUDSON DE AZEVEDO MACEDO, MATO GROSSO DO SUL FEDERAL UNIVERSITY; JOSÉ MARCATO JUNIOR, MATO GROSSO DO SUL FEDERAL UNIVERSITY; LUCIA MATEUS, MATO GROSSO FEDERAL UNIVERSITY; RONALDO GONÇALVES MORATO, CHICO MENDES INSTITUTE FOR BIODIVERSITY CONSERVATION; GUILHERME DE MIRANDA MOURAO, CPAP; CLAUMIR CESAR MUNIZ, MATO GROSSO STATE UNIVERSITY; ANDRÉ VALLE NUNES, ECOLOGY RESEARCH INSTITUTE; MARCIA DIVINA DE OLIVEIRA, CPAP; MAXWELL DA ROSA OLIVERIA, MINAS GERAIS FEDERAL UNIVERSITY; ERNANDES SOBREIRA OLIVEIRA JUNIOR, MATO GROSSO STATE UNIVERSITY; CARLOS ROBERTO PADOVANI, CPAP; JERRY PENHA, MATO GROSSO FEDERAL UNIVERSITY; DANILO BANDINI RIBEIRO, MATO GROSSO DO SUL FEDERAL UNIVERSITY; FABIO DE OLIVEIRA ROQUE, MATO GROSSO DO SUL FEDERAL UNIVERSITY; AGUINALDO SILVA, MATO GROSSO DO SUL FEDERAL UNIVERSITY; BALBINA MARIA ARAUJO SORIANO, CPAP; WILSON CABRAL SOUSA JUNIOR, AIRFORCE TECHNOLOGY INSTITUTE’S INFRASTRUCTURE; WALFRIDO MORAES TOMAS, CPAP; FERNANDO RODRIGO TORTATO, PANTHERA; CATIA URBANETZ, CPAP. |
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Título: |
The end of an entire biome? World's largest wetland, the Pantanal, is menaced by the Hidrovia project which is uncertain to sustainably support large-scale navigation. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Science of The Total Environment, v. 908, 167751, 2024. |
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DOI: |
https://doi.org/10.1016/j.scitotenv.2023.167751 |
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Idioma: |
Inglês |
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Conteúdo: |
The resurgent navigation project known as the Hidrovia Paraguay-Paran´a threatens the integrity of the Pantanal, the world’s largest wetland, which is considered a biome of its own. Intensive barge navigation is intended to transport crops (soybean, sugar, corn) and cement, iron and manganese from areas of production in Brazil, Paraguay and Bolivia to the oceanic ports of the Plata River. This short communication assembles the information available on the potential impacts of the planned deepening of the natural channel of the Paraguay River in its ~700 km-long upper section. These river channel alterations would disconnect the river from its floodplain, shorten the inundation period, and shrink the wetland area, resulting in severe degradation of the globally outstanding biological and cultural diversity of the Pantanal. The river sediments are mostly sandy and would require perpetual dredging. The reaches needing the most intensive dredging are those of the highest ecological value, protected as a National Park, UNESCO World Heritage and Biosphere Reserves, and various Indigenous reserves and Ramsar sites. Climate change is projected to increase the occurrence of low water periods. Between 2019 and 2021, navigation was impossible even in the already-deepened reaches of the Paraguay River between Corumb´a and Asuncion during long periods of the year. Thus, despite considerable financial and technical efforts, the success of the navigation project is doubtful, whereas enormous environmental, cultural, and social impacts can be anticipated. For these reasons, the Brazilian government had already turned down the project in 2000. We suggest alternative, less impactful modes of transport of commodities, e.g., via railway. MenosThe resurgent navigation project known as the Hidrovia Paraguay-Paran´a threatens the integrity of the Pantanal, the world’s largest wetland, which is considered a biome of its own. Intensive barge navigation is intended to transport crops (soybean, sugar, corn) and cement, iron and manganese from areas of production in Brazil, Paraguay and Bolivia to the oceanic ports of the Plata River. This short communication assembles the information available on the potential impacts of the planned deepening of the natural channel of the Paraguay River in its ~700 km-long upper section. These river channel alterations would disconnect the river from its floodplain, shorten the inundation period, and shrink the wetland area, resulting in severe degradation of the globally outstanding biological and cultural diversity of the Pantanal. The river sediments are mostly sandy and would require perpetual dredging. The reaches needing the most intensive dredging are those of the highest ecological value, protected as a National Park, UNESCO World Heritage and Biosphere Reserves, and various Indigenous reserves and Ramsar sites. Climate change is projected to increase the occurrence of low water periods. Between 2019 and 2021, navigation was impossible even in the already-deepened reaches of the Paraguay River between Corumb´a and Asuncion during long periods of the year. Thus, despite considerable financial and technical efforts, the success of the navigation project is doubtful, whereas enormo... Mostrar Tudo |
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Palavras-Chave: |
Environmental Chemistry; Waste Management and Disposal. |
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Thesagro: |
Degradação Ambiental; Impacto Ambiental; Navegação; Rio; Transporte Fluvial. |
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Thesaurus NAL: |
environmental engineering; Environmental impact; pollution; Rivers; Water transportation. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 03987naa a2200769 a 4500
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024 7 $ahttps://doi.org/10.1016/j.scitotenv.2023.167751$2DOI
100 1 $aWANTZEN, K. M.
245 $aThe end of an entire biome? World's largest wetland, the Pantanal, is menaced by the Hidrovia project which is uncertain to sustainably support large-scale navigation.$h[electronic resource]
260 $c2024
520 $aThe resurgent navigation project known as the Hidrovia Paraguay-Paran´a threatens the integrity of the Pantanal, the world’s largest wetland, which is considered a biome of its own. Intensive barge navigation is intended to transport crops (soybean, sugar, corn) and cement, iron and manganese from areas of production in Brazil, Paraguay and Bolivia to the oceanic ports of the Plata River. This short communication assembles the information available on the potential impacts of the planned deepening of the natural channel of the Paraguay River in its ~700 km-long upper section. These river channel alterations would disconnect the river from its floodplain, shorten the inundation period, and shrink the wetland area, resulting in severe degradation of the globally outstanding biological and cultural diversity of the Pantanal. The river sediments are mostly sandy and would require perpetual dredging. The reaches needing the most intensive dredging are those of the highest ecological value, protected as a National Park, UNESCO World Heritage and Biosphere Reserves, and various Indigenous reserves and Ramsar sites. Climate change is projected to increase the occurrence of low water periods. Between 2019 and 2021, navigation was impossible even in the already-deepened reaches of the Paraguay River between Corumb´a and Asuncion during long periods of the year. Thus, despite considerable financial and technical efforts, the success of the navigation project is doubtful, whereas enormous environmental, cultural, and social impacts can be anticipated. For these reasons, the Brazilian government had already turned down the project in 2000. We suggest alternative, less impactful modes of transport of commodities, e.g., via railway.
650 $aenvironmental engineering
650 $aEnvironmental impact
650 $apollution
650 $aRivers
650 $aWater transportation
650 $aDegradação Ambiental
650 $aImpacto Ambiental
650 $aNavegação
650 $aRio
650 $aTransporte Fluvial
653 $aEnvironmental Chemistry
653 $aWaste Management and Disposal
700 1 $aASSINE, M. L.
700 1 $aBORTOLOTTO, I. M.
700 1 $aCALHEIROS, D. F.
700 1 $aCAMPOS, Z.
700 1 $aCATELLA, A. C.
700 1 $aCHIARAVALOTTI, R. M.
700 1 $aCOLLISCHONN, W.
700 1 $aCOUTO, E. G.
700 1 $aCUNHA, C. N. da
700 1 $aDAMASCENO-JUNIOR, G. A.
700 1 $aSILVA, C. J. da
700 1 $aEBERHARD, A.
700 1 $aEBERT, A.
700 1 $aFIGUEIREDO, D. M. de
700 1 $aFRIEDLANDER, M.
700 1 $aGARCIA, L. C.
700 1 $aGIRARD, P.
700 1 $aHAMILTON, S. K.
700 1 $aIKEDA-CASTRILLON, S.
700 1 $aLIBONATI, R.
700 1 $aLOURIVAL, R.
700 1 $aMACEDO, H. de A.
700 1 $aMARCATO JUNIOR, J.
700 1 $aMATEUS, L.
700 1 $aMORATO, R. G.
700 1 $aMOURAO, G.
700 1 $aMUNIZ, C. C.
700 1 $aNUNES, A. V.
700 1 $aOLIVEIRA, M. D. de
700 1 $aOLIVERIA, M. da R.
700 1 $aOLIVEIRA JUNIOR, E. S.
700 1 $aPADOVANI, C. R.
700 1 $aPENHA, J.
700 1 $aRIBEIRO, D. B.
700 1 $aROQUE, F. de O.
700 1 $aSILVA, A.
700 1 $aSORIANO, B. M. A.
700 1 $aSOUSA JUNIOR, W. C.
700 1 $aTOMAS, W. M.
700 1 $aTORTATO, F. R.
700 1 $aURBANETZ, C.
773 $tScience of The Total Environment$gv. 908, 167751, 2024.
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Embrapa Pantanal (CPAP) |
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