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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
17/03/2022 |
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Data da última atualização: |
17/03/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SILVA, Y. F.; VALADARES, R. V.; DIAS, H. B.; CUADRA, S. V.; CAMPBELL, E. E.; LAMPARELLI, R. A. C.; MORO, E.; BATTISTI, R.; ALVES, M. R.; MAGALHÃES, P. S. G.; FIGUEIREDO, G. K. D. A. |
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Afiliação: |
YANE FREITAS SILVA, FEAGRI/UNICAMP; RAFAEL VASCONCELOS VALADARES, NIPE/UNICAMP; HENRIQUE BORIOLO DIAS, NIPE/UNICAMP; SANTIAGO VIANNA CUADRA, CNPTIA; ELEANOR E. CAMPBELL, UNIVERSITY OF NEW HAMPSHIRE; RUBENS AUGUSTO CAMARGO LAMPARELLI, NIPE/UNICAMP; EDEMAR MORO, UNOESTE; RAFAEL BATTISTI, UFG; MARCELO R. ALVES, UNOESTE; PAULO S. G. MAGALHÃES, NIPE/UNICAMP; GLEYCE KELLY DANTAS ARAÚJO FIGUEIREDO, FEAGRI/UNICAMP. |
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Título: |
Intense pasture management in Brazil in an integrated crop-livestock system simulated by the DayCent model. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Sustainability, v. 14, n. 6, p. 1-24, Mar. 2022. |
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DOI: |
https://doi.org/10.3390/su14063517 |
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Idioma: |
Inglês |
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Notas: |
Article 3517. |
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Conteúdo: |
Abstract. Process-based models (PBM) are important tools for understanding the benefits of Integrated Crop-Livestock Systems (ICLS), such as increasing land productivity and improving environmental conditions. PBM can provide insights into the contribution of agricultural production to climate change and help identify potential greenhouse gas (GHG) mitigation and carbon sequestration options. Rehabilitation of degraded lands is a key strategy for achieving food security goals and can reduce the need for new agricultural land. This study focused on the calibration and validation of the DayCent PBM for a typical ICLS adopted in Brazil from 2018 to 2020. We also present the DayCent parametrization for two forage species (ruzigrass and millet) grown simultaneously, bringing some innovation in the modeling challenges. We used aboveground biomass to calibrate the model, randomly selecting data from 70% of the paddocks in the study area. The calibration obtained a coefficient of determination (R2) of 0.69 and a relative RMSE of 37.0%. During the validation, we used other variables (CO2 flux, grain biomass, and soil water content) measured in the ICLS and performed a double validation for plant growth to evaluate the robustness of the model in terms of generalization. R2 validations ranged from 0.61 to 0.73, and relative RMSE from 11.3 to 48.3%. Despite the complexity and diversity of ICLS results show that DayCent can be used to model ICLS, which is an important step for future regional analyses and large-scale evaluations of the impacts of ICLS. MenosAbstract. Process-based models (PBM) are important tools for understanding the benefits of Integrated Crop-Livestock Systems (ICLS), such as increasing land productivity and improving environmental conditions. PBM can provide insights into the contribution of agricultural production to climate change and help identify potential greenhouse gas (GHG) mitigation and carbon sequestration options. Rehabilitation of degraded lands is a key strategy for achieving food security goals and can reduce the need for new agricultural land. This study focused on the calibration and validation of the DayCent PBM for a typical ICLS adopted in Brazil from 2018 to 2020. We also present the DayCent parametrization for two forage species (ruzigrass and millet) grown simultaneously, bringing some innovation in the modeling challenges. We used aboveground biomass to calibrate the model, randomly selecting data from 70% of the paddocks in the study area. The calibration obtained a coefficient of determination (R2) of 0.69 and a relative RMSE of 37.0%. During the validation, we used other variables (CO2 flux, grain biomass, and soil water content) measured in the ICLS and performed a double validation for plant growth to evaluate the robustness of the model in terms of generalization. R2 validations ranged from 0.61 to 0.73, and relative RMSE from 11.3 to 48.3%. Despite the complexity and diversity of ICLS results show that DayCent can be used to model ICLS, which is an important step for future reg... Mostrar Tudo |
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Palavras-Chave: |
Biogeochemical model; Integrated Crop-Livestock Systems; Manejo de pastagens; Mixed pasture; Modelo biogeoquímico; Pastagem tropical; Sistemas Integrados Lavoura-Pecuária; Tropical pasture. |
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Thesagro: |
Pastagem Mista; Soja; Solo Arenoso. |
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Thesaurus Nal: |
Sandy soils; Soybeans. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/232632/1/AP-Intense-Pasture-2022.pdf
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Marc: |
LEADER 02818naa a2200421 a 4500
001 2141004
005 2022-03-17
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/su14063517$2DOI
100 1 $aSILVA, Y. F.
245 $aIntense pasture management in Brazil in an integrated crop-livestock system simulated by the DayCent model.$h[electronic resource]
260 $c2022
500 $aArticle 3517.
520 $aAbstract. Process-based models (PBM) are important tools for understanding the benefits of Integrated Crop-Livestock Systems (ICLS), such as increasing land productivity and improving environmental conditions. PBM can provide insights into the contribution of agricultural production to climate change and help identify potential greenhouse gas (GHG) mitigation and carbon sequestration options. Rehabilitation of degraded lands is a key strategy for achieving food security goals and can reduce the need for new agricultural land. This study focused on the calibration and validation of the DayCent PBM for a typical ICLS adopted in Brazil from 2018 to 2020. We also present the DayCent parametrization for two forage species (ruzigrass and millet) grown simultaneously, bringing some innovation in the modeling challenges. We used aboveground biomass to calibrate the model, randomly selecting data from 70% of the paddocks in the study area. The calibration obtained a coefficient of determination (R2) of 0.69 and a relative RMSE of 37.0%. During the validation, we used other variables (CO2 flux, grain biomass, and soil water content) measured in the ICLS and performed a double validation for plant growth to evaluate the robustness of the model in terms of generalization. R2 validations ranged from 0.61 to 0.73, and relative RMSE from 11.3 to 48.3%. Despite the complexity and diversity of ICLS results show that DayCent can be used to model ICLS, which is an important step for future regional analyses and large-scale evaluations of the impacts of ICLS.
650 $aSandy soils
650 $aSoybeans
650 $aPastagem Mista
650 $aSoja
650 $aSolo Arenoso
653 $aBiogeochemical model
653 $aIntegrated Crop-Livestock Systems
653 $aManejo de pastagens
653 $aMixed pasture
653 $aModelo biogeoquímico
653 $aPastagem tropical
653 $aSistemas Integrados Lavoura-Pecuária
653 $aTropical pasture
700 1 $aVALADARES, R. V.
700 1 $aDIAS, H. B.
700 1 $aCUADRA, S. V.
700 1 $aCAMPBELL, E. E.
700 1 $aLAMPARELLI, R. A. C.
700 1 $aMORO, E.
700 1 $aBATTISTI, R.
700 1 $aALVES, M. R.
700 1 $aMAGALHÃES, P. S. G.
700 1 $aFIGUEIREDO, G. K. D. A.
773 $tSustainability$gv. 14, n. 6, p. 1-24, Mar. 2022.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
22/11/2006 |
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Data da última atualização: |
16/03/2016 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
LOEBMANN, D. G. dos S. W.; SILVA, R. F. B. DA; VICENTE, L. E.; VICTORIA, D. de C. |
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Afiliação: |
DANIEL GOMES DOS SANTOS W LOEBMANN, CNPM; RAMON FELIPE BICUDO DA SILVA, UNICAMP; LUIZ EDUARDO VICENTE, CNPM; DANIEL DE CASTRO VICTORIA, CNPM. |
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Título: |
Atmospheric correction of GeoEye-1 images using MODIS-based parameters. |
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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. 7270-7278. |
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Idioma: |
Inglês |
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Conteúdo: |
Atmospheric correction is a very important task that allows comparisons between image-based biophysical estimates and existing spectral libraries. Atmospheric correction methods based on radiative transfer provide good results as they account for scattering and absorption components effects of atmosphere over electromagnetic radiation, but the lack of ground-daily information of atmospheric parameters for radiative transfer-based models limits these methods operation. Our objective was to perform atmospheric correction of GeoEye-1 images using MODIS-based parameters as input data for the Moderate-Resolution Atmospheric Radiative Transfer Model (MODTRAN) code. That was achieved using aerosol optical thickness, Ångström exponent, and water column data extractd from MODIS Aqua data in order to obtain visibility, aerosol scale height, and atmospheric model to be used in MODTRAN. The results were analyzed from a set of pixels arranged in six land cover classes that were compared to the spectral libraries USGS and NASA/JPL, available online. Land cover classes of pasture, urban areas, forest, dark soil, medium soil, and light soil presents satisfactory combinations by the Spectral Angle Mapper method, used to compare spectra from the GeoEye-1 images and spectral libraries. We conclude that the methodological approach presented is a promising standard of methods based on the retrieving of atmospheric information to perform radiometric corrections. |
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Palavras-Chave: |
Altura de escala do aerossol; Transfrência radiativa; Visibilidade. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/123814/1/1923.pdf
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Marc: |
LEADER 02137nam a2200193 a 4500
001 1017580
005 2016-03-16
008 2015 bl uuuu u00u1 u #d
100 1 $aLOEBMANN, D. G. dos S. W.
245 $aAtmospheric correction of GeoEye-1 images using MODIS-based parameters.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE$c2015
300 $ap. 7270-7278.
520 $aAtmospheric correction is a very important task that allows comparisons between image-based biophysical estimates and existing spectral libraries. Atmospheric correction methods based on radiative transfer provide good results as they account for scattering and absorption components effects of atmosphere over electromagnetic radiation, but the lack of ground-daily information of atmospheric parameters for radiative transfer-based models limits these methods operation. Our objective was to perform atmospheric correction of GeoEye-1 images using MODIS-based parameters as input data for the Moderate-Resolution Atmospheric Radiative Transfer Model (MODTRAN) code. That was achieved using aerosol optical thickness, Ångström exponent, and water column data extractd from MODIS Aqua data in order to obtain visibility, aerosol scale height, and atmospheric model to be used in MODTRAN. The results were analyzed from a set of pixels arranged in six land cover classes that were compared to the spectral libraries USGS and NASA/JPL, available online. Land cover classes of pasture, urban areas, forest, dark soil, medium soil, and light soil presents satisfactory combinations by the Spectral Angle Mapper method, used to compare spectra from the GeoEye-1 images and spectral libraries. We conclude that the methodological approach presented is a promising standard of methods based on the retrieving of atmospheric information to perform radiometric corrections.
653 $aAltura de escala do aerossol
653 $aTransfrência radiativa
653 $aVisibilidade
700 1 $aSILVA, R. F. B. DA
700 1 $aVICENTE, L. E.
700 1 $aVICTORIA, D. de C.
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