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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
03/03/2016 |
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Data da última atualização: |
22/03/2016 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SOUSA, A. O.; RODRIGUES, B. A.; NARCISO, M. G.; MENESES, M. V.; GUIMARAES, C. M. |
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Afiliação: |
ANDERSON OLIVEIRA SOUSA, UFG; BERNARDO ARAUJO RODRIGUES, USP; MARCELO GONCALVES NARCISO, CNPAF; MARCUS VINÍCIUS MENESES, UFG; CLEBER MORAIS GUIMARAES, CNPAF. |
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Título: |
Software de obtenção do Índice de Vegetação por Diferença Normalizada. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: SEMINÁRIO JOVENS TALENTOS, 9., 2015, Santo Antônio de Goiás. Coletânea dos resumos apresentados. Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2015. |
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Páginas: |
p. 94. |
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Série: |
(Embrapa Arroz e Feijão. Documentos, 309). |
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Idioma: |
Português |
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Conteúdo: |
O objetivo desse trabalho foi desenvolver um software para processar uma imagem obtida por meio de uma câmera multiespectral de baixo custo, calcular e disponibilizar, pixel-a-pixel, os valores do Índice de Vegetação por Diferença Normalizada da planta ou cultura alvo. |
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Palavras-Chave: |
Avaliação; Índice de Vegetação por Diferença Normalizada. |
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Thesagro: |
Cobertura vegetal. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/141562/1/CNPAF-2015-p94.pdf
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Marc: |
LEADER 01074nam a2200217 a 4500
001 2039577
005 2016-03-22
008 2015 bl uuuu u00u1 u #d
100 1 $aSOUSA, A. O.
245 $aSoftware de obtenção do Índice de Vegetação por Diferença Normalizada.$h[electronic resource]
260 $aIn: SEMINÁRIO JOVENS TALENTOS, 9., 2015, Santo Antônio de Goiás. Coletânea dos resumos apresentados. Santo Antônio de Goiás: Embrapa Arroz e Feijão$c2015
300 $ap. 94.
490 $a(Embrapa Arroz e Feijão. Documentos, 309).
520 $aO objetivo desse trabalho foi desenvolver um software para processar uma imagem obtida por meio de uma câmera multiespectral de baixo custo, calcular e disponibilizar, pixel-a-pixel, os valores do Índice de Vegetação por Diferença Normalizada da planta ou cultura alvo.
650 $aCobertura vegetal
653 $aAvaliação
653 $aÍndice de Vegetação por Diferença Normalizada
700 1 $aRODRIGUES, B. A.
700 1 $aNARCISO, M. G.
700 1 $aMENESES, M. V.
700 1 $aGUIMARAES, C. M.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
01/12/2023 |
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Data da última atualização: |
01/12/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 3 |
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Autoria: |
TAVARES, P. A.; FERREIRA, J. N.; SILVA, C. V. J.; BERENGUER, E.; BARLOW, J. |
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Afiliação: |
PAULO AMADOR TAVARES, UNIVERSIDADE FEDERAL DO PARÁ; JOICE NUNES FERREIRA, CPATU; CAMILA V. J. SILVA, LANCASTER UNIVERSITY; ERIKA BERENGUER, LANCASTER UNIVERSITY; JOS BARLOW, LANCASTER UNIVERSITY. |
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Título: |
Exploring the role of deforestation and cropland expansion in driving a fire-transition in the Brazilian Amazon. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Land, v. 11, n. 12, Article 2274, 2022. |
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DOI: |
https://doi.org/10.3390/land11122274 |
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Idioma: |
Inglês |
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Conteúdo: |
The Brazilian Amazonian Forest is undergoing significant changes in land use and land cover in the last few decades. This land-use transition, besides climate change, may be responsible for the fire regime transition in this territory. Therefore, we aimed at investigating how the fire-transition occurs over time in the Brazilian Amazonia Forest and identifying the key parameters that can help to predict this change. For this, we collected yearly data on fire occurrence, forest cover, deforestation rates, and cropland areas. We used a 0.45° spatial surface grid, and with these annual values, we produced: (i) generalised linear mixed models of fire occurrence against forest cover, using years and grids as random factors; (ii) annual linear models of fire occurrence against forest cover; (iii) linear models of the apex values against the years; and (iv) generalised linear models of these apex values against deforestation and cropland areas. We found that there is a fire-transition process in the Brazilian Amazon Forest since a quadratic model better predicted the fire occurrence behaviour. Moreover, the fire occurrence apex is transitioning to more forested landscapes, from 50.7% in 2003 to 55% in 2019 (R² = 0.3). The deforestation rates and the cropland expansion had important relationships with the fire-transition, the first is related to the fire occurrence in the landscape (R² = 0.62), while the second better predicts the transition to more forested areas (R² = 0.38). Thus, we found that the fire-transition in the Brazilian Amazon Forest is strongly related to the land-use transition stages in this region. MenosThe Brazilian Amazonian Forest is undergoing significant changes in land use and land cover in the last few decades. This land-use transition, besides climate change, may be responsible for the fire regime transition in this territory. Therefore, we aimed at investigating how the fire-transition occurs over time in the Brazilian Amazonia Forest and identifying the key parameters that can help to predict this change. For this, we collected yearly data on fire occurrence, forest cover, deforestation rates, and cropland areas. We used a 0.45° spatial surface grid, and with these annual values, we produced: (i) generalised linear mixed models of fire occurrence against forest cover, using years and grids as random factors; (ii) annual linear models of fire occurrence against forest cover; (iii) linear models of the apex values against the years; and (iv) generalised linear models of these apex values against deforestation and cropland areas. We found that there is a fire-transition process in the Brazilian Amazon Forest since a quadratic model better predicted the fire occurrence behaviour. Moreover, the fire occurrence apex is transitioning to more forested landscapes, from 50.7% in 2003 to 55% in 2019 (R² = 0.3). The deforestation rates and the cropland expansion had important relationships with the fire-transition, the first is related to the fire occurrence in the landscape (R² = 0.62), while the second better predicts the transition to more forested areas (R² = 0.38). Thus,... Mostrar Tudo |
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Palavras-Chave: |
Cropland expansion; Fire-transition; Severe droughts. |
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Thesaurus NAL: |
Deforestation. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1159037/1/Exploring-the-Role.pdf
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Marc: |
LEADER 02345naa a2200229 a 4500
001 2159037
005 2023-12-01
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/land11122274$2DOI
100 1 $aTAVARES, P. A.
245 $aExploring the role of deforestation and cropland expansion in driving a fire-transition in the Brazilian Amazon.$h[electronic resource]
260 $c2022
520 $aThe Brazilian Amazonian Forest is undergoing significant changes in land use and land cover in the last few decades. This land-use transition, besides climate change, may be responsible for the fire regime transition in this territory. Therefore, we aimed at investigating how the fire-transition occurs over time in the Brazilian Amazonia Forest and identifying the key parameters that can help to predict this change. For this, we collected yearly data on fire occurrence, forest cover, deforestation rates, and cropland areas. We used a 0.45° spatial surface grid, and with these annual values, we produced: (i) generalised linear mixed models of fire occurrence against forest cover, using years and grids as random factors; (ii) annual linear models of fire occurrence against forest cover; (iii) linear models of the apex values against the years; and (iv) generalised linear models of these apex values against deforestation and cropland areas. We found that there is a fire-transition process in the Brazilian Amazon Forest since a quadratic model better predicted the fire occurrence behaviour. Moreover, the fire occurrence apex is transitioning to more forested landscapes, from 50.7% in 2003 to 55% in 2019 (R² = 0.3). The deforestation rates and the cropland expansion had important relationships with the fire-transition, the first is related to the fire occurrence in the landscape (R² = 0.62), while the second better predicts the transition to more forested areas (R² = 0.38). Thus, we found that the fire-transition in the Brazilian Amazon Forest is strongly related to the land-use transition stages in this region.
650 $aDeforestation
653 $aCropland expansion
653 $aFire-transition
653 $aSevere droughts
700 1 $aFERREIRA, J. N.
700 1 $aSILVA, C. V. J.
700 1 $aBERENGUER, E.
700 1 $aBARLOW, J.
773 $tLand$gv. 11, n. 12, Article 2274, 2022.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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