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Registros recuperados : 23 | |
11. | | VICTORIA, D. de C.; SILVA, R. F. B. da; MILLINGTON, J. D. A.; KATERINCHUK, V.; BATISTELLA, M. Transport cost to port though Brazilian federal roads network: dataset for years 2000, 2005, 2010 and 2017. Data in Brief, v. 36, p. 1-10, June 2021. Article 107070. Biblioteca(s): Embrapa Agricultura Digital. |
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14. | | SILVA, R. F. B. da; BATISTELLA, M.; MILLINGTON, J. D. A.; MORAN, E.; MARTINELLI, L. A.; DOU, Y.; LIU, J. Three decades of changes in Brazilian municipalities and their food production systems. Land, v. 9, n. 11, p. 1-17, Nov. 2020. Biblioteca(s): Embrapa Agricultura Digital. |
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15. | | SILVA, R. F. B. da; MILLINGTON, J. D. A.; VIÑA, A.; DOU, Y.; MORAN, E.; BATISTELLA, M.; LAPOLA, D. M.; LIU, J. Balancing food production with climate change mitigation and biodiversity conservation in the Brazilian Amazon. Science of The Total Environment, v. 904, 166681, Dec. 2023. Biblioteca(s): Embrapa Agricultura Digital. |
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16. | | LOEBMANN, D. G. dos S. W.; VICENTE, L. E.; DE PAULA, S. C.; VICTORIA, D. de C.; ANDRADE, R. G.; SILVA, R. F. B. DA; AGNESE, M. L. Comparative assessment of atmospheric correction of Landsat imagery using Modtran and dark object subtraction. In: SYMPOSIUM SELPER, 15., 2012, Cayenne, French Guiana. Abstracts... Cayenne: SELPER, 2012. 1 p. Biblioteca(s): Embrapa Territorial. |
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17. | | SILVA, R. F. B. da; VICTORIA, D. de C.; NOSSACK, F. A.; VIÑA, A.; MILLINGTON, J. D. A.; VIEIRA, S. A.; BATISTELLA, M.; MORAN, E.; LIU, J. Slow-down of deforestation following a Brazilian forest policy was less effective on private lands than in all conservation areas. Communications Earth & Environment, v. 4, 111, 2023. Biblioteca(s): Embrapa Agricultura Digital. |
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18. | | LOEBMANN, D. G. dos S. W.; VICENTE, L. E.; SILVA, R. F. B. DA; PAULA, S. C. DE; MAÇORANO, R. P.; VICTORIA, D. de C.; BATISTELLA, M. Uso de dados MODIS e AIRS para obtenção de parâmetros de correção atmosférica. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 16., 2013, Foz do Iguaçú. Anais... São José dos Campos: INPE, 2013. p. 8019-8026. 1 CD-ROM Biblioteca(s): Embrapa Territorial. |
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19. | | BARBOSA, A. M. C.; SILVA, R. F. B. da; LIMA, C. S.; SILVA, C. de F. B. da; BORGES, W. L. Inibição do crescimento micelial de Fusarium oxysporum f.sp. cubense, causador do mal-do-panamá, por isolados de Bacillus sp. In: ENCONTRO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA AGROINDÚSTRIA TROPICAL, 19., 2022, Fortaleza. Resumos... Fortaleza: Embrapa Agroindústria Tropical, 2023. p. 11. Biblioteca(s): Embrapa Amapá. |
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20. | | DOU, Y.; MILLINGTON, J. D. A.; SILVA, R. F. B. da; MCCORD, P.; VIÑA, A.; SONG, Q.; YU, Q.; WU, W.; BATISTELLA, M.; MORAN, E.; LIU, J. Land-use changes across distant places: design of a telecoupledagent-based model. Journal of Land Use Science, v. 14, n. 3, p. 191-209, 2019. Biblioteca(s): Embrapa Agricultura Digital. |
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Registros recuperados : 23 | |
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Registro Completo
Biblioteca(s): |
Embrapa Territorial. |
Data corrente: |
22/11/2006 |
Data da última atualização: |
16/03/2016 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
LOEBMANN, D. G. dos S. W.; SILVA, R. F. B. DA; VICENTE, L. E.; VICTORIA, D. de C. |
Afiliação: |
DANIEL GOMES DOS SANTOS W LOEBMANN, CNPM; RAMON FELIPE BICUDO DA SILVA, UNICAMP; LUIZ EDUARDO VICENTE, CNPM; DANIEL DE CASTRO VICTORIA, CNPM. |
Título: |
Atmospheric correction of GeoEye-1 images using MODIS-based parameters. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. |
Páginas: |
p. 7270-7278. |
Idioma: |
Inglês |
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. |
Palavras-Chave: |
Altura de escala do aerossol; Transfrência radiativa; Visibilidade. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/123814/1/1923.pdf
|
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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