| |
|
|
| Registros recuperados : 100 | |
| 42. |  | ARAUJO, L. S. de; VICENTE, L. E.; MANZATTO, C. V.; SKORUPA, L. A.; VICTORIA, D. de C.; SOARES, A. R. AgroTag: um sistema de coleta, análise e compartilhamento de dados de campo para qualificação do uso e cobertura das terras no Brasil. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 19., 2019, Santos. Anais... São José dos Campos: INPE, 2019. p. 451-454. Na publicação: Luciana Spinelli-Araujo. Editores: Douglas Francisco Marcolino Gherardi, Ieda Del´Arco Sanches, Luiz Eduardo Oliveira e Cruz de Aragão. SBSR 2019.| Biblioteca(s): Embrapa Agricultura Digital. |
|   |
| 43. | | ARAUJO, L. S. de; VICENTE, L. E.; MANZATTO, C. V.; SKORUPA, L. A.; VICTORIA, D. de C.; SOARES, A. R. AgroTag: um sistema de coleta, análise e compartilhamento de dados de campo para qualificação do uso e cobertura das terras no Brasil. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 19., 2019, Santos. Anais... São José dos Campos: INPE, 2019. p. 451-454. Na publicação: Luciana Spinelli-Araujo. Editores: Douglas Francisco Marcolino Gherardi, Ieda Del´Arco Sanches, Luiz Eduardo Oliveira e Cruz de Aragão. SBSR 2019.| Biblioteca(s): Embrapa Meio Ambiente. |
|  |
| 44. | | ARCOVERDE, G. F. B.; ALMEIDA, C. M. de; XIMENES, A. de C.; MAEDA, E. E.; ARAUJO, L. S. de. Identificação de áreas prioritárias para recuperação florestal com o uso de rede neural de mapas auto-organizáveis. Boletim de Ciências Geodésicas, Curitiba, v. 17, n. 3, p. 379-400, jul./set. 2011.| Biblioteca(s): Embrapa Territorial. |
| |
| 45. | | ALVAREZ, I. A.; KIILL, L. H. P.; SCHILLING, A. C.; GREGO, C. R.; RONQUIM, C. C.; ARAUJO, L. S. de. Influência dos diferentes ambientes ripários sob a vegetação arbóreo-arbustiva. In: SIMPÓSIO DE RESTAURAÇÃO ECOLÓGICA DESAFIOS ATUAIS E FUTUROS, 4., 2011, São Paulo. Anais... São Paulo: Secretaria do Meio Ambiente, 2011. p. 312-313.| Biblioteca(s): Embrapa Semiárido; Embrapa Territorial. |
| |
| 50. | | GOMES, P. B.; BOLFE, E. L.; ARAUJO, L. S. de; VICTORIA, D. de C.; GARRASTAZU, M. C. Classificação de formações vegetais do Pantanal por meio da análise orientada a objeto em imagens de satélite de alta resolução espacial. In: SIMPÓSIO DE GEOTECNOLOGIAS NO PANTANAL, 5., 2014, Campo Grande, MS. Anais... São José dos Campos: INPE, 2014. p. 314-324. 1 CD-ROM.| Biblioteca(s): Embrapa Florestas. |
| |
| 51. | | GOMES, P. B.; BOLFE, E. L.; ARAUJO, L. S. de; VICTORIA, D. de C.; GARRASTAZU, M. C. Classificação de formações vegetais do Pantanal por meio da análise orientada a objeto em imagens de satélite de alta resolução espacial. In: SIMPÓSIO DE GEOTECNOLOGIAS NO PANTANAL, 5., 2014, Campo Grande, MS. Anais... São José dos Campos: INPE, 2014. p. 314-324. 1 CD-ROM.| Biblioteca(s): Embrapa Territorial. |
| |
| 52. | | ALBUQUERQUE, R. W.; VIEIRA, D. L. M.; VICENTE, L. E.; ARAUJO, L. S. de; FERREIRA, M. E.; GROHMANN, C. H. Comparing forest restoration canopy cover measurements using RGB and multispectral sensors onboard drones. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 20., 2023, Florianópolis. Anais [...]. São José dos Campos: Instituto Nacional de Pesquisas Espaciais, 2023. Ref. 155275. p. 53-56.| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Recursos Genéticos e Biotecnologia. |
| |
| 55. | | 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. |
| |
| 56. | | SILVA, G. B. S. da; ARAUJO, L. S. de; NOGUEIRA, S. F.; BOLFE, E. L.; VICTORIA, D. de C.; VICENTE, L. E.; GREGO, C. R.; ANDRADE, R. G. Sistema de Informação Geográfica (SIG) e base de dados geoespaciais do projeto Geodegrade. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 16., 2013, Foz do Iguaçú. Anais... São José dos Campos: INPE, 2013. p. 2487-2493. 1 CD-ROM| Biblioteca(s): Embrapa Territorial. |
| |
| 57. | | GOMES, A. C. C.; PENTEAN, R.; PORTINHO, J. L.; VICENTE, L. E.; ARAUJO, L. S. de; MANZATTO, C. V.; ALCÂNTARA, E. Short-term retrieval of water transparency from a caged-fish farm using Landsat-8/OLI images. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 19., 2019, Santos. Anais... São José dos Campos: INPE, 2019. 4 p.| Biblioteca(s): Embrapa Meio Ambiente. |
| |
| 59. | | GALDINO, S.; BOLFE, E. L.; NOGUEIRA, S. F.; ARAUJO, L. S. de; VICTORIA, D. de C.; GREGO, C. R.; SILVA, G. B. S. da. Análise geoespacial entre níveis de degradação de pastagens e parâmetros físicos em sub-bacias de Pindamonhangaba, SP. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 1161-1168.| Biblioteca(s): Embrapa Territorial. |
| |
| 60. | | PORTINHO, J. L.; GOMES, A. C. C.; KOGA-VICENTE, A.; MANZATTO, C. V.; MILANI, F. C. C.; ARAUJO, L. S. de; VICENTE, L. E. An interactive webgis platform for enhanced support of integrated environmental management of aquaculture In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 19., 2019, Santos. Anais... São José dos Campos: INPE, 2019. Artigo 96069. p. 1-4.| Biblioteca(s): Embrapa Meio Ambiente. |
| |
| Registros recuperados : 100 | |
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Territorial. |
|
Data corrente: |
19/01/2016 |
|
Data da última atualização: |
17/03/2016 |
|
Tipo da produção científica: |
Artigo em Anais de Congresso |
|
Autoria: |
SANTOS, M. N. dos; PINAGÉ, E. R.; LONGO, M.; ARAUJO, L. S. de; ADAMI, M.; MORTON, D.; KELLER, M. |
|
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. |
|
Título: |
Lidar-based assessment of forest edge effects across a degraded landscape in the Brazilian Amazon. |
|
Ano de publicação: |
2015 |
|
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. |
|
Páginas: |
p. 81-83. |
|
Idioma: |
Português |
|
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 |
|
Palavras-Chave: |
Airborne lidar; Amazon; Edge effect; Forest degradation. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/137288/1/4657.pdf
|
|
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.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Territorial (CNPM) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
