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| Registros recuperados : 91 | |
| 42. |  | FAZOLIN, M.; ESTRELA, J. L. V.; MONTEIRO, A. F. M.; SILVA, I. M. da; GOMES, L. P. Sinérgico alternativo para inseticidas inibidores de acetilcolinesterase. Revista Agro@mbiente On-line, Boa Vista, v. 11, n. 3, p. 232-240, jul./set. 2017.| Biblioteca(s): Embrapa Acre. |
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| 43. | | FAZOLIN, M.; MONTEIRO, A. F. M.; ESTRELA, J. L. V.; SILVA, I. M. da; SILVA, M. S. de F. Sinergista de origem vegetal em combinação com inseticidas inibidores da biossíntese de quitina. In: SEMINÁRIO DA EMBRAPA ACRE DE INICIAÇÃO CIENTÍFICA E PÓS-GRADUAÇÃO, 4., 2021, Rio Branco, AC. Atividades agropecuária e florestal para o desenvolvimento sustentável da Amazônia: anais. Rio Branco, AC: Embrapa Acre, 2022. Pôster. p. 105-110. (Embrapa Acre. Eventos técnicos & científicos, 4). Editores técnicos: Rodrigo Souza Santos; Fabiano Marçal Estanislau.| Biblioteca(s): Embrapa Acre. |
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| 44. | | FAZOLIN, M.; ESTRELA, J. L. V.; CATANI, V.; LIMA, M. S. de; ALÉCIO, M. R.; COSTA, C. R. da. Efeito inseticida do extrato de Piper aduncum L. no controle da vaquinha-do-feijoeiro Cerotoma tingomarianus Bechyné. In: SIMPÓSIO DE CONTROLE BIOLÓGICO, 9., 2005, Recife, PE. Anais. Recife: Sociedade Entomológica do Brasil, 2005. p. 123.| Biblioteca(s): Embrapa Acre. |
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| 45. | | ESTRELA, J. L. V.; FAZOLIN, M.; CATANI, V.; LIMA, M. S. de; ALÉCIO, M. R.; COSTA, C. R. da. Efeito inseticida do extrato de Piper hispidinervum C. DC. no controle da vaquinha-do-feijoeiro Cerotoma tingomarianus Bechyné. In: SIMPÓSIO DE CONTROLE BIOLÓGICO, 9., 2005, Recife, PE. Anais. Recife: Sociedade Entomológica do Brasil, 2005. p. 123.| Biblioteca(s): Embrapa Acre. |
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| 49. | | FAZOLIN, M.; COSTA, C. R. da; ESTRELA, J. L. V.; HESSEL, C. E.; ANDRADE, C. M. S. de. Levantamento de insetos-praga associados aos capins tanner-grass, tangola e estrela-africana no Acre. Amazônia: Ciência & Desenvolvimento, Belém, v. 4, n. 8, p. 273-283, jan./jun. 2009.| Biblioteca(s): Embrapa Acre. |
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| 52. | | SIHLER, W.; SANCHES, M. M.; FALCAO, R.; FAZOLIN, M.; ESTRELA, J. L. V.; SOUZA, M. L. de. Caracterização de Erinnyis ello Granulovirus isolado de populações de mandarová da mandioca em Cruzeiro do Sul, Acre. In: CONGRESSO BRASILEIRO DE ENTOMOLOGIA, 25., 2014, Goiânia. Entomologia integrada à sociedade para o desenvolvimento sustentável: anais. Goiânia: Sociedade Entomológica do Brasil, 2014. Resumo 1102.| Biblioteca(s): Embrapa Acre; Embrapa Recursos Genéticos e Biotecnologia. |
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| 53. | | FAZOLIN, M.; MONTEIRO, A. F. M.; ESTRELA, J. L. V.; SILVA, M. S. de F.; SILVA, I. M. da. Manejo da resistência de lagartas a benzoilfeniluréias utilizando sinergista vegetal. South American Journal of Basic Education, Technical and Technological, v. 9, n. 1, p. 242-261, jan./abr. 2022.| Biblioteca(s): Embrapa Acre. |
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| 54. | | ESTRELA, J. L. V.; FAZOLIN, M.; SILVA, I. M. da; SILVA, M. S. de F.; GOMES, L. P. Mistura de óleos essenciais de Piper hispidinervum e Piper aduncum no controle de Spodoptera frugiperda. In: SIMPÓSIO DE ENTOMOLOGIA, 4., 2013, Viçosa, MG. Caderno de resumos. Viçosa, MG: Universidade Federal de Viçosa, 2013. p. 51.| Biblioteca(s): Embrapa Acre. |
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| 57. | | FAZOLIN, M.; ESTRELA, J. L. V.; CATANI, V.; PAIVA, C. T. C.; MUNIZ, L. F.; BERTOTTI, F. Prospecção de inseticidas botânicos da flora amazônica: potencial inseticida de óleos essenciais no controle de Zabrotes subfasciatus (Bruchide). In: ENCONTRO BRASILEIRO DE ECOLOGIA QUÍMICA, 4., 2005, Piracicaba. Programação e livro de resumos. Piracicaba: Esalq, 2005. p. 135.| Biblioteca(s): Embrapa Acre. |
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| 58. | | GOMES, L. P.; FAZOLIN, M.; SILVA, I. M. da; ESTRELA, J. L. V.; SILVA, M. S. de F. Redução da dose comercial carbaril sinergizado com óleo pimenta-de-macaco para controle de Cerotoma tingomarianus no feijão. In: SIMPÓSIO DE ENTOMOLOGIA, 4., 2013, Viçosa, MG. Caderno de resumos. Viçosa, MG: Universidade Federal de Viçosa, 2013. p. 83| Biblioteca(s): Embrapa Acre. |
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| 59. | | SILVA, M. S. de F.; FAZOLIN, M.; ESTRELA, J, L. V.; GOMES, L. P.; SILVA, I. M. Redução da dose comercial de inseticidas inibidores da síntese de quitina em combinação com óleo de P. aduncum. In: SIMPÓSIO DE ENTOMOLOGIA, 4., 2013, Viçosa, MG. Caderno de resumos. Viçosa, MG: Universidade Federal de Viçosa, 2013. p. 48.| Biblioteca(s): Embrapa Acre. |
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| 60. | | SILVA, I. M. da; ESTRELA, J. L. V.; GOMES, L. P.; SILVA, M. S. de F.; FAZOLIN, M. Redução da dose de fosforados com Piper aduncum no controle de Spodoptera frugiperda em plantas de milho. In: SIMPÓSIO DE ENTOMOLOGIA, 4., 2013, Viçosa, MG. Caderno de resumos. Viçosa, MG: Universidade Federal de Viçosa, 2013. p. 84.| Biblioteca(s): Embrapa Acre. |
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| Registros recuperados : 91 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Cerrados; Embrapa Meio Ambiente. |
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Data corrente: |
31/03/2021 |
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Data da última atualização: |
22/03/2022 |
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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: |
SANO, E. E.; RIZZOLI, P.; KOYAMA, C. N.; WATANABE, M.; ADAMI, M.; SHIMABUKURO, Y. E.; SILVA, G. B. S. da; FREITAS, D. M. de. |
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Afiliação: |
EDSON EYJI SANO, CPAC; PAOLA RIZOLLI, Microwaves and Radar Institute, German Aerospace Center; CHRISTIAN N KOYAMA, Tokyo Denki University; MANABU WATANABE, Tokyo Denki University; MARCOS ADAMI, INPE; YOSIO EDEMIR SHIMABUKURO, INPE; GUSTAVO BAYMA SIQUEIRA DA SILVA, CNPMA; DANIEL MORAES DE FREITAS, IBAMA. |
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Título: |
Comparative analysis of the global forest/non-forest maps derived from SAR and optical sensors: case studies from brazilian Amazon and Cerrado biomes. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Remote Sensing, v. 13, n. 3, article 367, 2021. |
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DOI: |
https://doi.org/10.3390/rs13030367 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Global-scale forest/non-forest (FNF) maps are of crucial importance for applications like biomass estimation and deforestation monitoring. Global FNF maps based on optical remote sensing data have been produced by the wall-to-wall satellite image analyses or sampling strategies. The German Aerospace Center (DLR) and the Japan Aerospace Exploration Agency (JAXA) also made available their global FNF maps based on synthetic aperture radar (SAR) data. This paper attempted to answer the following scientific question: how comparable are the FNF products derived from optical and SAR data? As test sites we selected the Amazon (tropical rainforest) and Cerrado (tropical savanna) biomes, the two largest Brazilian biomes. Forest estimations from 2015 derived from TanDEM-X (X band; HH polarization) and ALOS-2 (L band; HV polarization) SAR data, as well as forest cover information derived from Landsat 8 optical data were compared with each other at the municipality and image sampling levels. The optical-based forest estimations considered in this study were derived from the MapBiomas project, a Brazilian multi-institutional project to map land use and land cover (LULC) classes of an entire country based on historical time series of Landsat data. In addition to the existing forest maps, a set of 1619 Landsat 8 RGB color composites was used to generate new independent comparison data composed of circular areas with 5-km diameter, which were visually interpreted after image segmentation. The Spearman rank correlation estimated the correlation among the data sets and the paired Mann–Whitney–Wilcoxon tested the hypothesis that the data sets are statistically equal. Results showed that forest maps derived from SAR and optical satellites are statistically different regardless of biome or scale of study (municipality or image sampling), except for the Cerrado´s forest estimations derived from TanDEM-X and ALOS-2. Nevertheless, the percentage of pixels classified as forest or non-forest by both SAR sensors were 90% and 80% for the Amazon and Cerrado biome, respectively, indicating an overall good agreement. MenosAbstract: Global-scale forest/non-forest (FNF) maps are of crucial importance for applications like biomass estimation and deforestation monitoring. Global FNF maps based on optical remote sensing data have been produced by the wall-to-wall satellite image analyses or sampling strategies. The German Aerospace Center (DLR) and the Japan Aerospace Exploration Agency (JAXA) also made available their global FNF maps based on synthetic aperture radar (SAR) data. This paper attempted to answer the following scientific question: how comparable are the FNF products derived from optical and SAR data? As test sites we selected the Amazon (tropical rainforest) and Cerrado (tropical savanna) biomes, the two largest Brazilian biomes. Forest estimations from 2015 derived from TanDEM-X (X band; HH polarization) and ALOS-2 (L band; HV polarization) SAR data, as well as forest cover information derived from Landsat 8 optical data were compared with each other at the municipality and image sampling levels. The optical-based forest estimations considered in this study were derived from the MapBiomas project, a Brazilian multi-institutional project to map land use and land cover (LULC) classes of an entire country based on historical time series of Landsat data. In addition to the existing forest maps, a set of 1619 Landsat 8 RGB color composites was used to generate new independent comparison data composed of circular areas with 5-km diameter, which were visually interpreted after image segmen... Mostrar Tudo |
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Palavras-Chave: |
ALOS-2; Forest mapping; SAR; TanDEM-X. |
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Thesagro: |
Cerrado; Floresta Tropical; Mapa; Sensoriamento Remoto. |
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Thesaurus NAL: |
Remote sensing; Savannas; Tropical forests. |
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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/227779/1/Sano-comparative-analysis.pdf
|
|
Marc: |
LEADER 03169naa a2200349 a 4500
001 2136157
005 2022-03-22
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/rs13030367$2DOI
100 1 $aSANO, E. E.
245 $aComparative analysis of the global forest/non-forest maps derived from SAR and optical sensors$bcase studies from brazilian Amazon and Cerrado biomes.$h[electronic resource]
260 $c2021
520 $aAbstract: Global-scale forest/non-forest (FNF) maps are of crucial importance for applications like biomass estimation and deforestation monitoring. Global FNF maps based on optical remote sensing data have been produced by the wall-to-wall satellite image analyses or sampling strategies. The German Aerospace Center (DLR) and the Japan Aerospace Exploration Agency (JAXA) also made available their global FNF maps based on synthetic aperture radar (SAR) data. This paper attempted to answer the following scientific question: how comparable are the FNF products derived from optical and SAR data? As test sites we selected the Amazon (tropical rainforest) and Cerrado (tropical savanna) biomes, the two largest Brazilian biomes. Forest estimations from 2015 derived from TanDEM-X (X band; HH polarization) and ALOS-2 (L band; HV polarization) SAR data, as well as forest cover information derived from Landsat 8 optical data were compared with each other at the municipality and image sampling levels. The optical-based forest estimations considered in this study were derived from the MapBiomas project, a Brazilian multi-institutional project to map land use and land cover (LULC) classes of an entire country based on historical time series of Landsat data. In addition to the existing forest maps, a set of 1619 Landsat 8 RGB color composites was used to generate new independent comparison data composed of circular areas with 5-km diameter, which were visually interpreted after image segmentation. The Spearman rank correlation estimated the correlation among the data sets and the paired Mann–Whitney–Wilcoxon tested the hypothesis that the data sets are statistically equal. Results showed that forest maps derived from SAR and optical satellites are statistically different regardless of biome or scale of study (municipality or image sampling), except for the Cerrado´s forest estimations derived from TanDEM-X and ALOS-2. Nevertheless, the percentage of pixels classified as forest or non-forest by both SAR sensors were 90% and 80% for the Amazon and Cerrado biome, respectively, indicating an overall good agreement.
650 $aRemote sensing
650 $aSavannas
650 $aTropical forests
650 $aCerrado
650 $aFloresta Tropical
650 $aMapa
650 $aSensoriamento Remoto
653 $aALOS-2
653 $aForest mapping
653 $aSAR
653 $aTanDEM-X
700 1 $aRIZZOLI, P.
700 1 $aKOYAMA, C. N.
700 1 $aWATANABE, M.
700 1 $aADAMI, M.
700 1 $aSHIMABUKURO, Y. E.
700 1 $aSILVA, G. B. S. da
700 1 $aFREITAS, D. M. de
773 $tRemote Sensing$gv. 13, n. 3, article 367, 2021.
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