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| Registros recuperados : 64 | |
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| 22. | | ADAMI, M.; VENTURIERI, A.; COUTINHO, A. C.; ESQUERDO, J. C. D. M.; GOMES, A. R. Lulc change on Rondonia, western Brazilian Amazon, by Terraclass project. In: INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM; CANADIAN SYMPOSIUM ON REMOTE SENSING, 35., 2014, Québec. Energy and our Changing Planet: final program. [S.l.]: IEEE, 2014. Não paginado. IGARSS 2014.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 23. | | ADAMI, M.; VENTURIERI, A.; COUTINHO, A. C.; ESQUERDO, J. C. D. M.; GOMES, A. R. Lulc change on Rondonia, western brazilian amazon, by Terraclass project. In: INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM; CANADIAN SYMPOSIUM ON REMOTE SENSING, 35., 2014, Québec. Energy and our Changing Planet. [S.l.]: IEEE, 2014. IGARSS 2014.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 25. | | GUSSO, A.; FORMAGGIO, A. R.; RIZZI, R.; ADAMI, M.; RUDORFF, B. F. T. Soybean crop area estimation by Modis/Evi data. Pesquisa Agropecuaria Brasileira, Brasília, DF, v. 47, n. 3, p. 425-435, mar. 2012. Título em português: Estimativa de áreas de cultivo de soja por meio de dados Modis/Evi.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 26. | | PADOVANI, C. R.; SHIMABUKURO, Y. E.; FREITAS, R. M.; ADAMI, M.; VETTORAZZI, C. A. Spatial analysis of Pantanal wetland flood dynamics determined from modis images: a case study . In: INTECOL INTERNATIONAL WETLANDS CONFERENCE, 8., Cuiabá, 2008. Big wetlands, big concerns: abstracts. [Sl.: s.n], 2008. p.160| Biblioteca(s): Embrapa Pantanal. |
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| 27. | | BERNADES, T.; ADAMI, M.; FARMAGGIO, A. R.; MOREIRA, M. A.; FRANÇA, D. de A.; NOVAES, M. R. de. Imagens mono e multitemporais Modis para estimativa da área com soja no Estado de Mato Grosso. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 46, n. 11, p. 1530-1537, nov. 2011 Título em inglês: Mono and multitemporal Modis imagery for soybean area estimate in Mato Grosso State, Brazil.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 28. | | SANTOS, M. N. dos; PINAGÉ, E. R.; LONGO, M.; ARAUJO, L. S. de; ADAMI, M.; MORTON, D.; KELLER, M. Lidar-based assessment of forest edge effects across a degraded landscape in the Brazilian Amazon. In: CONFERENCE ON LIDAR APPLICATIONS FOR ASSESSING AND MANAGING FOREST ECOSYSTEMS, 14., 2015. La Grande Motte, France. Proceedings of SilviLaser... La Grande Motte, France: IGN, 2015. p. 81-83.| Biblioteca(s): Embrapa Territorial. |
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| 29. | | ADAMI, M.; MOREIRA, M. A.; RUDORFF, B. F. T.; FREITAS, C. da C.; FARIA, R. T. de; DEPPE, F. Painel amostral para estimativa de áreas agrícolas. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 42, n. 1, p. 81-88, jan. 2007 Título em inglês: Sampling frame for crop area estimation.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 31. | | MARTORANO, L. G.; SOTTA, E. D.; MARTORANO, P.; ADAMI, M.; BELTRÃO, N.; LISBOA, L.; OLIVEIRA, A.; NASCIMENTO, N. Effects of agricultural expansion on abundance of species in Amazon rainforest. In: INTERNATIONAL ECOSUMMIT, 5., 2016, Montpellier. Ecological sustainability: Engineering Change. [S.l.]: Elsevier, 2016.| Biblioteca(s): Embrapa Amapá. |
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| 32. | | MARTORANO, L. G.; SOTTA, E. D.; MARTORANO, P.; ADAMI, M.; BELTRÃO, N.; LISBOA, L.; OLIVEIRA, A.; NASCIMENTO, N. Effects of agricultural expansion on abundance of species in Amazon rainforest. In: INTERNATIONAL ECOSUMMIT, 5., 2016, Montpellier. Ecological sustainability: Engineering Change. [S.l.]: Elsevier, 2016.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 33. | | RISSO, J.; RIZZI, R.; RUDORFF, B. F. T.; ADAMI, M.; SHIMABUKURO, Y. E.; FORMAGGIO, A. R.; EPIPHANIO, R. D. V. Índices de vegetação Modis aplicados na discriminação de áreas de soja. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 47, n. 9, p. 1317-1326, set. 2012. Título em inglês: Modis vegetation indices applied to soybean area discrimination.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 35. | | SOUSA, L. M. de; KATO, O. R.; ADAMI, M.; SOUZA, A. A. A.; RAMOS, W. F.; SILVA, I. dos S. e. Analise multitemporal do desmatamento no município de Tomé-Açú entre 1985 a 2018. Pesquisa Florestal Brasileira, Colombo, v. 42, e201902053, 2022. 11 p.| Biblioteca(s): Embrapa Florestas. |
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| 36. | | BUENO, C. R.; GOMES, A. R.; CLEMENT, C. R.; ADAMI, M.; XAUD, H. A. M.; XAUD, M. R.; MARTINS, M. B.; COELHO, A. dos S. Bioma Amazônia: oportunidades e desafios de pesquisa para produção de alimentos e outros produtos. In: VILELA, E. F.; CALLEGARO, G. M.; FERNANDES, G. W. (Org.). Biomas e agricultura: oportunidades e desafios. Rio de Janeiro: Academia Brasileira de Ciência: FAPEMIG, 2019. p. 31-53| Biblioteca(s): Embrapa Roraima. |
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| 37. | | PINTO, J. F. S. K. C.; SETZER, A.; MORELLI, F.; GOMES, A. R.; ADAMI, M.; VENTURIERI, A.; GUIMARÃES, T. de F. P. L. Dinâmica do uso e cobertura do solo em áreas queimadas de municípios na Amazônia brasileira. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: INPE, 2017. p. 1353-1360.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 38. | | WATRIN, O. dos S.; ADAMI, M.; SAMPAIO, S. M. N.; CORDEIRO, T. F.; CAMPOS, A. G. S.; OLIVEIRA, R. R. S. de. Dinâmica de fragmentos florestais em propriedade de base econômica pecuária no sudeste do estado do Pará. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 3415-3422.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 39. | | GOERGEN, Ç L. C. de G.; KILCA, R. de V.; NARVAES, I. da S.; SILVA, M. N.; SILVA, E. A.; PEREIRA, R. S. P.; ADAMI, M. Distinção de espécies de eucalipto de diferentes idades por meio de imagens TM/Landsat 5. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 51, n. 1, p. 53-60, jan. 2016 Título em inglês: Distinction of eucalyptus species of different ages using Landsat 5 TM images.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 40. | | ALMEIDA, C. A. de; COUTINHO, A. C.; ESQUERDO, J. C. D. M.; ADAMI, M.; VENTURIERI, A.; DINIZ, C. G.; DESSAY, N.; DURIEUX, L.; GOMES, A. R. High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data. Acta Amazonica, Manaus, v. 46, n. 3, p. 291-302, July/Sept. 2016.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Amazônia Oriental. |
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| Registros recuperados : 64 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
19/01/2016 |
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Data da última atualização: |
17/03/2016 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SANTOS, M. N. dos; PINAGÉ, E. R.; LONGO, M.; ARAUJO, L. S. de; ADAMI, M.; MORTON, D.; KELLER, M. |
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Afiliação: |
MAIZA NARA DOS SANTOS, BOLSISTA CNPM; EKENA R. PINAGÉ, BOLSISTA CNPM; MARCOS LONGO, BOLSISTA CNPM; LUCIANA SPINELLI DE ARAUJO, CNPM; MARCOS ADAMI, INPE; DOUGLAS MORTON, NASA; MICHAEL KELLER, PESQUISADOR VISITANTE CNPM/USDA. |
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Título: |
Lidar-based assessment of forest edge effects across a degraded landscape in the Brazilian Amazon. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: CONFERENCE ON LIDAR APPLICATIONS FOR ASSESSING AND MANAGING FOREST ECOSYSTEMS, 14., 2015. La Grande Motte, France. Proceedings of SilviLaser... La Grande Motte, France: IGN, 2015. |
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Páginas: |
p. 81-83. |
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Idioma: |
Português |
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Conteúdo: |
Forest fragmentation divides forest areas into smaller discontinuous fragments, increasing the forest edge area that experiences different environmental conditions from interior areas [1]. According to one study, logging and deforestation generate ~32,000 and 38,000 km of new forest edge each year in the Brazilian Amazon [2]. Nearly 20% of the world?s forests are within 100m of agriculture, urban, or other non-forest land uses [3]. Forest edges suffer changes in microclimate, with reduced moisture and increased variability of temperature compared to the forest interiors. In addition, winds cause greater structural damage near the forest ends and affect other ecological processes such as pollination, seed dispersal, nutrient cycling and carbon storage. The extent of forest edges in the Brazilian Amazon grows each year, caused by deforestation and forest degradation from human activity. However, the extent of edge forests, and the changes in carbon stock resulting from alterations in microclimate and disturbance near forest edges are difficult to quantify. Previous studies have used multispectral remote sensing and geographic information systems (GIS) analysis to quantify fragmentation and the effect of edges [2]. We used lidar (light detection and ranging) measured canopy heights as a proxy variable to quantify forest edge effects across a degraded forest landscape of the Amazon in the Paragominas Municipality in Para State, Brazil. To our knowledge no previous study has used variability in forest height from lidar data to quantify changes in forest structure near edges in tropical forests. Lidar provides data with sub-meter vertical and horizontal accuracy, greatly improving forest structure quantification compared to traditional field studies. MenosForest fragmentation divides forest areas into smaller discontinuous fragments, increasing the forest edge area that experiences different environmental conditions from interior areas [1]. According to one study, logging and deforestation generate ~32,000 and 38,000 km of new forest edge each year in the Brazilian Amazon [2]. Nearly 20% of the world?s forests are within 100m of agriculture, urban, or other non-forest land uses [3]. Forest edges suffer changes in microclimate, with reduced moisture and increased variability of temperature compared to the forest interiors. In addition, winds cause greater structural damage near the forest ends and affect other ecological processes such as pollination, seed dispersal, nutrient cycling and carbon storage. The extent of forest edges in the Brazilian Amazon grows each year, caused by deforestation and forest degradation from human activity. However, the extent of edge forests, and the changes in carbon stock resulting from alterations in microclimate and disturbance near forest edges are difficult to quantify. Previous studies have used multispectral remote sensing and geographic information systems (GIS) analysis to quantify fragmentation and the effect of edges [2]. We used lidar (light detection and ranging) measured canopy heights as a proxy variable to quantify forest edge effects across a degraded forest landscape of the Amazon in the Paragominas Municipality in Para State, Brazil. To our knowledge no previous study has used... Mostrar Tudo |
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Palavras-Chave: |
Airborne lidar; Amazon; Edge effect; Forest degradation. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/137288/1/4657.pdf
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Marc: |
LEADER 02597nam a2200241 a 4500
001 2034397
005 2016-03-17
008 2015 bl uuuu u00u1 u #d
100 1 $aSANTOS, M. N. dos
245 $aLidar-based assessment of forest edge effects across a degraded landscape in the Brazilian Amazon.$h[electronic resource]
260 $aIn: CONFERENCE ON LIDAR APPLICATIONS FOR ASSESSING AND MANAGING FOREST ECOSYSTEMS, 14., 2015. La Grande Motte, France. Proceedings of SilviLaser... La Grande Motte, France: IGN$c2015
300 $ap. 81-83.
520 $aForest fragmentation divides forest areas into smaller discontinuous fragments, increasing the forest edge area that experiences different environmental conditions from interior areas [1]. According to one study, logging and deforestation generate ~32,000 and 38,000 km of new forest edge each year in the Brazilian Amazon [2]. Nearly 20% of the world?s forests are within 100m of agriculture, urban, or other non-forest land uses [3]. Forest edges suffer changes in microclimate, with reduced moisture and increased variability of temperature compared to the forest interiors. In addition, winds cause greater structural damage near the forest ends and affect other ecological processes such as pollination, seed dispersal, nutrient cycling and carbon storage. The extent of forest edges in the Brazilian Amazon grows each year, caused by deforestation and forest degradation from human activity. However, the extent of edge forests, and the changes in carbon stock resulting from alterations in microclimate and disturbance near forest edges are difficult to quantify. Previous studies have used multispectral remote sensing and geographic information systems (GIS) analysis to quantify fragmentation and the effect of edges [2]. We used lidar (light detection and ranging) measured canopy heights as a proxy variable to quantify forest edge effects across a degraded forest landscape of the Amazon in the Paragominas Municipality in Para State, Brazil. To our knowledge no previous study has used variability in forest height from lidar data to quantify changes in forest structure near edges in tropical forests. Lidar provides data with sub-meter vertical and horizontal accuracy, greatly improving forest structure quantification compared to traditional field studies.
653 $aAirborne lidar
653 $aAmazon
653 $aEdge effect
653 $aForest degradation
700 1 $aPINAGÉ, E. R.
700 1 $aLONGO, M.
700 1 $aARAUJO, L. S. de
700 1 $aADAMI, M.
700 1 $aMORTON, D.
700 1 $aKELLER, M.
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