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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
12/06/2015 |
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Data da última atualização: |
27/01/2016 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
COSTA, C. R. da; LUZ, N. B. da; ARAKI, H.; OLIVEIRA, Y. M. M. de; ROSOT, M. A. D.; GARRASTAZU, M. C.; KRUEGER, C. P. |
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Afiliação: |
Clauber Rogério da Costa, UFPR; Naíssa Batista da Luz, ONU/FAO; Hideo Araki, UFPR; YEDA MARIA MALHEIROS DE OLIVEIRA, CNPF; MARIA AUGUSTA DOETZER ROSOT, CNPF; MARILICE CORDEIRO GARRASTAZU, CNPF; Claudia Pereira Krueger, UFPR. |
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Título: |
Análise da exatidão cartográfica das imagens Rapideye adotadas no Inventário Florestal Nacional do Brasil (IFN-BR). |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. |
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Páginas: |
p. 3289-3296. |
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Descrição Física: |
Disponível online. |
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Idioma: |
Português |
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Conteúdo: |
The National Brazil's Forest Inventory (IFN-BR), conducted by the Brazilian Forest Service (SFB) with support from the FAO (Food and Agriculture Organization - UN) was established aiming to enable continuous monitoring of forest resources, providing information to support the definition of public policy and management and conservation of these resources. Embrapa Forestry in conjunction with the SFB and the FAO seeks to develop a methodology for landscape analysis in the context of IFN-BR. Both are being used for RapidEye images (level 3A) and tested different remote sensing techniques. In this context, this work aims at analyzing the geometric accuracy between 6 scenes acquired in 2011 and 2012. For both a field survey using GPS receivers monofrequency by the absolute method for precise point (PPP) was conducted and implemented a program in Matlab platform capable of calculating the parameters of displacement and the RMS (root mean square error) of each image relative to the ground. Are also calculated the means and variances of the displacements relative to the ground of the images of 2011 and 2012. |
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Palavras-Chave: |
Análise cartográfica; Brasil; Imagem de satélite; Inventário Florestal Nacional; National Forest Inventory; Rapideye. |
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Thesaurus Nal: |
accuracy; Brazil. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/125277/1/2015-Yeda-SBSR-AnaliseExatidao.pdf
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Marc: |
LEADER 02083nam a2200289 a 4500
001 2017532
005 2016-01-27
008 2015 bl uuuu u00u1 u #d
100 1 $aCOSTA, C. R. da
245 $aAnálise da exatidão cartográfica das imagens Rapideye adotadas no Inventário Florestal Nacional do Brasil (IFN-BR).$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE$c2015
300 $ap. 3289-3296.$cDisponível online.
520 $aThe National Brazil's Forest Inventory (IFN-BR), conducted by the Brazilian Forest Service (SFB) with support from the FAO (Food and Agriculture Organization - UN) was established aiming to enable continuous monitoring of forest resources, providing information to support the definition of public policy and management and conservation of these resources. Embrapa Forestry in conjunction with the SFB and the FAO seeks to develop a methodology for landscape analysis in the context of IFN-BR. Both are being used for RapidEye images (level 3A) and tested different remote sensing techniques. In this context, this work aims at analyzing the geometric accuracy between 6 scenes acquired in 2011 and 2012. For both a field survey using GPS receivers monofrequency by the absolute method for precise point (PPP) was conducted and implemented a program in Matlab platform capable of calculating the parameters of displacement and the RMS (root mean square error) of each image relative to the ground. Are also calculated the means and variances of the displacements relative to the ground of the images of 2011 and 2012.
650 $aaccuracy
650 $aBrazil
653 $aAnálise cartográfica
653 $aBrasil
653 $aImagem de satélite
653 $aInventário Florestal Nacional
653 $aNational Forest Inventory
653 $aRapideye
700 1 $aLUZ, N. B. da
700 1 $aARAKI, H.
700 1 $aOLIVEIRA, Y. M. M. de
700 1 $aROSOT, M. A. D.
700 1 $aGARRASTAZU, M. C.
700 1 $aKRUEGER, C. P.
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Registro original: |
Embrapa Florestas (CNPF) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
06/01/2020 |
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Data da última atualização: |
06/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
BRIGHENTI, A. M.; SOUZA SOBRINHO, F. de; BENITES, F. R. G. |
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Afiliação: |
ALEXANDRE MAGNO B DOS SANTOS, CNPGL; FAUSTO DE SOUZA SOBRINHO, CNPGL; FLAVIO RODRIGO GANDOLFI BENITES, CNPGL. |
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Título: |
Differential tolerance and selectivity of herbicides in forages of the genus Cynodon. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Grassland Science, v. 66, n. 2, p. 88-94, 2020. |
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DOI: |
https://doi.org/10.1111/grs.12259 |
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Idioma: |
Inglês |
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Conteúdo: |
Plant recovery due to herbicide symptoms of phytotoxicity characterizes an additional waste of energy that should not be accepted as a natural physiologic response; therefore, it might result in yield losses. Herbicide‐tolerant forages and the use of less phytotoxic products on pastures provide improvements in chemical weed control and increases in forage yield. The objectives of this study were to test differences between Tifton 85 (Cynodon spp.) and African star grass (Cynodon nlemfuensis) in relation to their degree of tolerance to herbicides, as well as the selectivity of herbicides for both species. The experimental design was completely randomized, in a 2 × 8 factorial, with four replicates. Two species of Cynodon and eight herbicide treatments were evaluated. The tolerance and selectivity of herbicides for Tifton 85 and African star grass are a function of each species and the type and dose of herbicide applied. Among the two species of Cynodon, Tifton 85, in general, was more tolerant to the applied herbicides than was the African star grass and consequently with less probability to occur forage yield losses. The most phytotoxic herbicides for both forages were fluroxypyr + aminopyralid (160.0 + 80.0 g ae/ha [grams of acid equivalent per hectare]), fluroxypyr + triclopyr (320.0 + 960.0 g ae/ha) and glyphosate (180 g ae/ha). The most selective herbicides were bentazon (720.0 g ai/ha [grams of active ingredient per hectare]), imazapyr (25.0 g ai/ha) and MSMA (1,440.0 g ai/ha), which have potential for use in fields of Tifton 85 and African star grass. MenosPlant recovery due to herbicide symptoms of phytotoxicity characterizes an additional waste of energy that should not be accepted as a natural physiologic response; therefore, it might result in yield losses. Herbicide‐tolerant forages and the use of less phytotoxic products on pastures provide improvements in chemical weed control and increases in forage yield. The objectives of this study were to test differences between Tifton 85 (Cynodon spp.) and African star grass (Cynodon nlemfuensis) in relation to their degree of tolerance to herbicides, as well as the selectivity of herbicides for both species. The experimental design was completely randomized, in a 2 × 8 factorial, with four replicates. Two species of Cynodon and eight herbicide treatments were evaluated. The tolerance and selectivity of herbicides for Tifton 85 and African star grass are a function of each species and the type and dose of herbicide applied. Among the two species of Cynodon, Tifton 85, in general, was more tolerant to the applied herbicides than was the African star grass and consequently with less probability to occur forage yield losses. The most phytotoxic herbicides for both forages were fluroxypyr + aminopyralid (160.0 + 80.0 g ae/ha [grams of acid equivalent per hectare]), fluroxypyr + triclopyr (320.0 + 960.0 g ae/ha) and glyphosate (180 g ae/ha). The most selective herbicides were bentazon (720.0 g ai/ha [grams of active ingredient per hectare]), imazapyr (25.0 g ai/ha) and MSMA (1,4... Mostrar Tudo |
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Palavras-Chave: |
African star grass; Forages; Tifton 85. |
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Thesaurus NAL: |
Chemical control; Weeds. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02239naa a2200217 a 4500
001 2118213
005 2024-02-06
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1111/grs.12259$2DOI
100 1 $aBRIGHENTI, A. M.
245 $aDifferential tolerance and selectivity of herbicides in forages of the genus Cynodon.$h[electronic resource]
260 $c2020
520 $aPlant recovery due to herbicide symptoms of phytotoxicity characterizes an additional waste of energy that should not be accepted as a natural physiologic response; therefore, it might result in yield losses. Herbicide‐tolerant forages and the use of less phytotoxic products on pastures provide improvements in chemical weed control and increases in forage yield. The objectives of this study were to test differences between Tifton 85 (Cynodon spp.) and African star grass (Cynodon nlemfuensis) in relation to their degree of tolerance to herbicides, as well as the selectivity of herbicides for both species. The experimental design was completely randomized, in a 2 × 8 factorial, with four replicates. Two species of Cynodon and eight herbicide treatments were evaluated. The tolerance and selectivity of herbicides for Tifton 85 and African star grass are a function of each species and the type and dose of herbicide applied. Among the two species of Cynodon, Tifton 85, in general, was more tolerant to the applied herbicides than was the African star grass and consequently with less probability to occur forage yield losses. The most phytotoxic herbicides for both forages were fluroxypyr + aminopyralid (160.0 + 80.0 g ae/ha [grams of acid equivalent per hectare]), fluroxypyr + triclopyr (320.0 + 960.0 g ae/ha) and glyphosate (180 g ae/ha). The most selective herbicides were bentazon (720.0 g ai/ha [grams of active ingredient per hectare]), imazapyr (25.0 g ai/ha) and MSMA (1,440.0 g ai/ha), which have potential for use in fields of Tifton 85 and African star grass.
650 $aChemical control
650 $aWeeds
653 $aAfrican star grass
653 $aForages
653 $aTifton 85
700 1 $aSOUZA SOBRINHO, F. de
700 1 $aBENITES, F. R. G.
773 $tGrassland Science$gv. 66, n. 2, p. 88-94, 2020.
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