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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
25/02/2014 |
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Data da última atualização: |
30/03/2022 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MULIANGA, B.; BÉGUÉ, A.; SIMÕES, M.; CLOUVEL, P.; TODOROFF, P. |
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Afiliação: |
MARGARETH GONCALVES SIMOES, CNPS. |
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Título: |
Estimating potential soil erosion for environmental services in a sugarcane growing área ussing multisource remote sensing data. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
In: SPIE REMOTE SENSING, 4., 2013, Dresden. Remote sensing for agriculture, ecosystems, and hydrology XV: proceedings... Bellingham: SPIE, 2013. v. 8887. Ref. 88871W. |
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DOI: |
https://doi.org/10.1117/12.2028640 |
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Idioma: |
Inglês |
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Conteúdo: |
Characterization of landscapes is crucial in modelling potential soil erosion to ascertain environmental services that are provided by the main land use in the ecosystem. Remote sensing techniques have proved successful in characterization of landscapes. In this study area of a rain-fed Kibos-Miwani sugar zone of Kenya, we used Normalized Difference Vegetation Index (NDVI) data extracted from satellite imagery to characterize the spatial and temporal heterogeneity of the vegetation conditions, and to model potential soil erosion. Data used included Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m NDVI acquired in the period 2000 to 2012; 30 m Landsat5 time series images acquired between November 2010 and June 2011; a 30 m digital elevation model (DEM); and ground observations (land cover and soil characteristics). Ground observations were cross tabulated and analysed under ISO 17025 laboratory procedures. Temporal NDVI was extracted directly from MODIS 250 m images to study the changes in seasonal vegetation at the region scale, while spatial NDVI was extracted by analysing Landsat 5 images at the field scale. NDVI extracted from Landsat images for a specific date, represented vegetation conditions for that simulation period. To compute potential soil erosion, we ran three simulations using the spatially explicit Fuzzy-based dynamic soil erosion model (FuDSEM) based on identified vegetative conditions, thanks to MODIS data. Input datasets included Landsat 5 NDVI, the slope, aspect, curvature and soil physical properties. Results of land cover presented sugarcane as the main land use, occupying 76% of the land scape. Results of NDVI analysis were consistent with crop management practices, illustrating a spatially heterogeneous land scape with varied vegetation conditions throughout the year. Results of the simulations were not significantly different for the different periods of the year. Out of simulations, we noted a homogeneous low erosion risk in areas with natural land cover with a global mean of 0.42. Medium to intense erosion risk in cropped areas was evident, with erosion risk varying from one pixel to the other. Simulation results suggest that crop management practices (planting and harvesting processes) are the drivers of erosion in sugar cane cultivated areas. MenosCharacterization of landscapes is crucial in modelling potential soil erosion to ascertain environmental services that are provided by the main land use in the ecosystem. Remote sensing techniques have proved successful in characterization of landscapes. In this study area of a rain-fed Kibos-Miwani sugar zone of Kenya, we used Normalized Difference Vegetation Index (NDVI) data extracted from satellite imagery to characterize the spatial and temporal heterogeneity of the vegetation conditions, and to model potential soil erosion. Data used included Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m NDVI acquired in the period 2000 to 2012; 30 m Landsat5 time series images acquired between November 2010 and June 2011; a 30 m digital elevation model (DEM); and ground observations (land cover and soil characteristics). Ground observations were cross tabulated and analysed under ISO 17025 laboratory procedures. Temporal NDVI was extracted directly from MODIS 250 m images to study the changes in seasonal vegetation at the region scale, while spatial NDVI was extracted by analysing Landsat 5 images at the field scale. NDVI extracted from Landsat images for a specific date, represented vegetation conditions for that simulation period. To compute potential soil erosion, we ran three simulations using the spatially explicit Fuzzy-based dynamic soil erosion model (FuDSEM) based on identified vegetative conditions, thanks to MODIS data. Input datasets included Landsat 5 NDVI, ... Mostrar Tudo |
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Palavras-Chave: |
Cropping practices; Environmental service; Slope. |
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Thesaurus Nal: |
land cover; remote sensing; soil erosion; sugarcane. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 03224nam a2200253 a 4500
001 1981213
005 2022-03-30
008 2013 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1117/12.2028640$2DOI
100 1 $aMULIANGA, B.
245 $aEstimating potential soil erosion for environmental services in a sugarcane growing área ussing multisource remote sensing data.$h[electronic resource]
260 $aIn: SPIE REMOTE SENSING, 4., 2013, Dresden. Remote sensing for agriculture, ecosystems, and hydrology XV: proceedings... Bellingham: SPIE, 2013. v. 8887. Ref. 88871W.$c8887
520 $aCharacterization of landscapes is crucial in modelling potential soil erosion to ascertain environmental services that are provided by the main land use in the ecosystem. Remote sensing techniques have proved successful in characterization of landscapes. In this study area of a rain-fed Kibos-Miwani sugar zone of Kenya, we used Normalized Difference Vegetation Index (NDVI) data extracted from satellite imagery to characterize the spatial and temporal heterogeneity of the vegetation conditions, and to model potential soil erosion. Data used included Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m NDVI acquired in the period 2000 to 2012; 30 m Landsat5 time series images acquired between November 2010 and June 2011; a 30 m digital elevation model (DEM); and ground observations (land cover and soil characteristics). Ground observations were cross tabulated and analysed under ISO 17025 laboratory procedures. Temporal NDVI was extracted directly from MODIS 250 m images to study the changes in seasonal vegetation at the region scale, while spatial NDVI was extracted by analysing Landsat 5 images at the field scale. NDVI extracted from Landsat images for a specific date, represented vegetation conditions for that simulation period. To compute potential soil erosion, we ran three simulations using the spatially explicit Fuzzy-based dynamic soil erosion model (FuDSEM) based on identified vegetative conditions, thanks to MODIS data. Input datasets included Landsat 5 NDVI, the slope, aspect, curvature and soil physical properties. Results of land cover presented sugarcane as the main land use, occupying 76% of the land scape. Results of NDVI analysis were consistent with crop management practices, illustrating a spatially heterogeneous land scape with varied vegetation conditions throughout the year. Results of the simulations were not significantly different for the different periods of the year. Out of simulations, we noted a homogeneous low erosion risk in areas with natural land cover with a global mean of 0.42. Medium to intense erosion risk in cropped areas was evident, with erosion risk varying from one pixel to the other. Simulation results suggest that crop management practices (planting and harvesting processes) are the drivers of erosion in sugar cane cultivated areas.
650 $aland cover
650 $aremote sensing
650 $asoil erosion
650 $asugarcane
653 $aCropping practices
653 $aEnvironmental service
653 $aSlope
700 1 $aBÉGUÉ, A.
700 1 $aSIMÕES, M.
700 1 $aCLOUVEL, P.
700 1 $aTODOROFF, P.
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Registro original: |
Embrapa Solos (CNPS) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
17/05/2001 |
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Data da última atualização: |
08/09/2020 |
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Tipo da produção científica: |
Comunicado Técnico/Recomendações Técnicas |
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Autoria: |
RIBEIRO, S. I.; SILVA, J. F. da; MOTA, M. G. da C.; CORRÊA, M. L. P. |
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Afiliação: |
SYDNEY ITAURAN RIBEIRO, CPATU; JEFFERSON FELIPE DA SILVA, CPATU; MILTON GUILHERME DA COSTA MOTA, FCAP; MARIA LITA PADINHA CORRÊA, BOLSISTA PIBIC/CNPQ/EMBRAPA/FCAP. |
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Título: |
Avaliação de acessos de camu-camuzeiro em terra firme. |
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Ano de publicação: |
2000 |
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Fonte/Imprenta: |
Belém, PA: Embrapa Amazônia Oriental, 2000. |
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Páginas: |
4 p. |
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Série: |
(Embrapa Amazônia Oriental. Comunicado técnico, 17). |
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Idioma: |
Português |
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Conteúdo: |
Originario da regiao amazonica, o camu-camuzeiro (Myrciaria dubia (H.B.K) McVaugh) e planta arbustiva da familia Myrtaceae, que produz um fruto tipo baga, rico em vitamina C, contendo 2.400 a 3.000 mg de acido ascorbico/100g de mesocarpo e ate 5.000 mg de acido ascorbico/100g de casca, (Andrade et al. 1991). De cor arroxeada, contem de uma a quatro sementes. A frutificacao ocorre nos meses de setembro a dezembro e a colheita de janeiro a abril do ano seguinte (Cavalcante, 1991) |
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Palavras-Chave: |
Acesso; Agronomic characters; Amazonas; Atalaia do norte; Belem; Brasil; Camu-camu; Camu-camuzeiro; Caracterização de acesso; Cultural methods; Para; Productivity; Sao Paulo de Oliveira; Species; Terra firme; Tropical fruit; Tropical fruits. |
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Thesagro: |
Espécie; Fruta; Fruta Tropical; Fruto; Myrciaria Dubia; Planta; Pratica Cultural; Produtividade; Semente. |
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Thesaurus NAL: |
Amazonia; fruits; seeds. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/39858/1/Com-Tec-17-Am-Oriental.pdf
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Marc: |
LEADER 01789nam a2200517 a 4500
001 1377940
005 2020-09-08
008 2000 bl uuuu u0uu1 u #d
100 1 $aRIBEIRO, S. I.
245 $aAvaliação de acessos de camu-camuzeiro em terra firme.
260 $aBelém, PA: Embrapa Amazônia Oriental$c2000
300 $a4 p.
490 $a(Embrapa Amazônia Oriental. Comunicado técnico, 17).
520 $aOriginario da regiao amazonica, o camu-camuzeiro (Myrciaria dubia (H.B.K) McVaugh) e planta arbustiva da familia Myrtaceae, que produz um fruto tipo baga, rico em vitamina C, contendo 2.400 a 3.000 mg de acido ascorbico/100g de mesocarpo e ate 5.000 mg de acido ascorbico/100g de casca, (Andrade et al. 1991). De cor arroxeada, contem de uma a quatro sementes. A frutificacao ocorre nos meses de setembro a dezembro e a colheita de janeiro a abril do ano seguinte (Cavalcante, 1991)
650 $aAmazonia
650 $afruits
650 $aseeds
650 $aEspécie
650 $aFruta
650 $aFruta Tropical
650 $aFruto
650 $aMyrciaria Dubia
650 $aPlanta
650 $aPratica Cultural
650 $aProdutividade
650 $aSemente
653 $aAcesso
653 $aAgronomic characters
653 $aAmazonas
653 $aAtalaia do norte
653 $aBelem
653 $aBrasil
653 $aCamu-camu
653 $aCamu-camuzeiro
653 $aCaracterização de acesso
653 $aCultural methods
653 $aPara
653 $aProductivity
653 $aSao Paulo de Oliveira
653 $aSpecies
653 $aTerra firme
653 $aTropical fruit
653 $aTropical fruits
700 1 $aSILVA, J. F. da
700 1 $aMOTA, M. G. da C.
700 1 $aCORRÊA, M. L. P.
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Embrapa Amazônia Oriental (CPATU) |
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