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22. | | SCHUTZ, D. R.; MERCALDI, H. V.; PENALOZA, E. A. G.; OLIVEIRA, V. A.; CRUVINEL, P. E. An intelligent fuzzy-GPC control for agricultural sprayers: Comparison between GPC and PID fuzzy controllers. In: Brito Palma, L., Neves Silva, R., Gomes, L. (eds) CONTROLO 2022. LNEE 930, Lecture notes in Electrical Engineering, v. 930, Springer, Cham, 272 - 284 eBook Packages Intelligent Technologies and Robotics. Biblioteca(s): Embrapa Instrumentação. |
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23. | | COELHO, M. R.; LUMBRERAS, J. F.; VASQUES, G. de M.; OLIVEIRA, V. A. de. Atributos químicos e granulometria dos solos da XII Reunião Brasileira de Classificação de Solos (RCC de Rondônia): um enfoque pedológico. In: LUMBRERAS, J. F.; SILVA, L. M. da; ANJOS, L. H. C. dos; OLIVEIRA, V. A. de; WADT, P. G. S.; PEREIRA, M. G.; DELARMELINDA-HONORÉ, E. A.; BURITY, K. T. L. (Ed.). Guia de campo da XII Reunião Brasileira de Classificação e Correlação de Solos: RCC de Rondônia. Brasília, DF: Embrapa, 2019. E-book. cap. 10. Biblioteca(s): Embrapa Solos. |
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24. | | CRUVINEL, P. E.; OLIVEIRA, V. A.; KOENIGKAN, L.; BRESSAN, G. M.; PARISI, F.; MANTOVANI, E. C. Metodologia para o mapeamento georeferenciado da aplicação de chuva artificial em área de plantio com base no uso de visão computacional. In: SIMPÓSIO INTERNACIONAL DE AGRICULTURA DE PRECISÃO, 3., 2005, Sete Lagoas. [Anais...]. Sete Lagoas: Embrapa Milho e Sorgo: UFV: SBEA: CIGR, 2005. Disponível em: http://www.cnpms.embrapa.br/siap2005/. Acesso em: 06 jan. 2006. Biblioteca(s): Embrapa Instrumentação. |
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25. | | PENALOZA, E. A. G.; MERCALDI, H. V.; FELIZARDO, K. R.; OLIVEIRA, V. A.; CRUVINEL, P. E. Modelo do erro de taxa de aplicação em função do ângulo de esterçamento de um pulverizador tratorizado. In: SIMPÓSIO NACIONAL DE INSTRUMENTAÇÃO AGROPECUÁRIA, 2014, São Carlos, SP Anais do SIAGRO: ciência, inovação e mercado 2014. São Carlos, SP: Embrapa Instrumentação, 2014. p. 53-56. Editores: Carlos Manoel Pedro Vaz, Débora Marcondes Bastos Pereira Milori, Silvio Crestana. Biblioteca(s): Embrapa Instrumentação. |
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28. | | MERCALDI, H. V.; CRUVINEL, P. E.; FELIZARDO, K. R.; OLIVEIRA, V. A. Modelagem de um sistema de injeção direta de herbicida em taxa variável para aplicação em cultura agrícolas. In: INAMASU, R. Y.; NAIME, J. de M.; RESENDE, A. V. de; BASSOI, L. H.; BERNARDI, A. de C. (Ed.). Agricultura de precisão: um novo olhar. São Carlos, SP: Embrapa Instrumentação, 2011. p. 101-105. Biblioteca(s): Embrapa Instrumentação. |
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30. | | SCHUTZ, D. R.; PENALOZA, E. A. G.; MERCALDI, H. V.; OLIVEIRA, V. A.; CRUVINEL, P. E. A Model Based Intelligent Sensor to Control Sprinklers in Spray Actions. In: INTERNATIONAL CONFERENCE ON ADVANCES IN SENSORS, ACTUATORS, METERING AND SENSING - ALLSENSORS 2023, 8., 2023, Venice, Italy. Proceedings... Wilmington, USA: IARIA, 2023. Biblioteca(s): Embrapa Instrumentação. |
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37. | | OLIVEIRA, V. A. de; LUMBRERAS, J. F.; COELHO, M. R.; ARAUJO FILHO, J. C. de. As Reuniões de Classificação e Correlação de Solos (RCCs): história, organização e contribuições para a pedologia brasileira. In: SOUZA-FILHO, L. F.; SILVA, R. C. da; CÉSAR, F. R. C. F.; SOUZA, C. M. M. (ed.). Tópicos em ciência do solo. Viçosa, MG: Sociedade Brasileira de Ciência do Solo, 2021. v. 11, p. 235-290. Biblioteca(s): Embrapa Solos. |
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38. | | PEÑALOZA, E. A. G.; OLIVEIRA, V. A.; CRUVINEL, P. E. (ed.). Soft-sensor approach based on principal components analysis to improve the quality of the application of pesticides in agricultural pest control. In: INTERNATIONAL CONFERENCE ON ADVANCES IN SENSORS, ACTUATORS, METERING AND SENSING - ALLSENSORS 2018, 3., 2018, Rome. Proceedings... Wilmington, USA: IARIA, 2018. p. 95-100. Biblioteca(s): Embrapa Instrumentação. |
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40. | | BRESSAN, G. M.; KOENIGKAN, L. V.; OLIVEIRA, V. A.; CRUVINEL, P. E.; KARAM, D. Sistema de classificação fuzzy para o risco de infestação por plantas daninhas considerando a sua variabilidade espacial. Planta Daninha, Viçosa, MG, v. 24, n. 2, p. 229-238, 2006. Biblioteca(s): Embrapa Milho e Sorgo. |
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Registro Completo
Biblioteca(s): |
Embrapa Territorial. |
Data corrente: |
30/09/2011 |
Data da última atualização: |
03/05/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
VICENTE, L. E.; SOUZA FILHO, C. R. de. |
Afiliação: |
LUIZ EDUARDO VICENTE, CNPM; CARLOS ROBERTO DE SOUZA FILHO, UNICAMP. |
Título: |
Identification of mineral components in tropical soils using reflectance spectroscopy and advanced spaceborne thermal emission and reflection radiometer (ASTER) data. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
Remote Sensing of Environment, v. 115, p. 1824-1836, 2011. |
ISSN: |
0034-4257 |
DOI: |
doi:10.1016/j.rse.2011.02.023 |
Idioma: |
Inglês |
Conteúdo: |
Soil characteristics provide important support for understanding transformations that occur in environmental systems. Physical characteristics and chemical compositions of soils controlled by pedogenetic processes, climatic changes and land use imply different types of environmental transformations. Reflectance spectroscopy is an alternative soil mapping technique that uses spectral absorption features between visible (VIS) and short-wave infrared (SWIR) wavelengths (0.3?2.5 μm) for determining soil mineralogy. Soil analysis by means of reflectance spectroscopy and orbital optical sensors have provided favorable results in mapping transformation processes in environmental systems, particularly in arid and semiarid climates in extra-tropical terrains. In the case of inter-tropical environments, these methods cannot be readily applied due to local factors such as lack of exposed regolith, high amounts of soil moisture and the presence of dense vegetation. This study uses Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and reflectance spectroscopy data to map mineral components of soils covering a part of the state of São Paulo, Brazil, which could be linked to key aspects of environmental transformations in this tropical area (e.g., climate change, shifts in agriculture fronts, ph, and soil characteristics). We collected forty-two (42) soil samples at a depth of 0?20 cm, considering that this superficial layer corresponds to the highest correlation with soil properties detected by the ASTER sensor. These samples were measured using a FieldSpec FR spectrometer, and the derived spectra were interpreted for mineral composition. Interpretation was supported by X-ray diffraction analysis on the same samples. The spectral signatures were re-sampled to ASTER VNIR (AST1-4: 0.52?0.86 μm) and SWIR (AST5-9: 1.60?2.43 μm) spectral bandwidths and validated by comparing reflectance spectra of field samples with those extracted from atmospherically corrected and calibrated ASTER pixels. The agreement between spectral signatures measured from soil samples and those derived from ASTER imagery pixels proved plausible, with R2 correlation values ranging from 0.6493 to 0.7886. This signifies that diagnostic spectral features of key minerals in tropical soils can be mapped at the spectral resolution of 9-band ASTER VNIR through SWIR reflectance. We used these spectral signatures as end-members in hyperspectral routine classifications adapted for use with ASTER data. Results proved possible the identification and remote mapping of minerals such as kaolinite, montmorillonite and gibbsite, as well as the distinction between iron-rich and iron-poor soils. MenosSoil characteristics provide important support for understanding transformations that occur in environmental systems. Physical characteristics and chemical compositions of soils controlled by pedogenetic processes, climatic changes and land use imply different types of environmental transformations. Reflectance spectroscopy is an alternative soil mapping technique that uses spectral absorption features between visible (VIS) and short-wave infrared (SWIR) wavelengths (0.3?2.5 μm) for determining soil mineralogy. Soil analysis by means of reflectance spectroscopy and orbital optical sensors have provided favorable results in mapping transformation processes in environmental systems, particularly in arid and semiarid climates in extra-tropical terrains. In the case of inter-tropical environments, these methods cannot be readily applied due to local factors such as lack of exposed regolith, high amounts of soil moisture and the presence of dense vegetation. This study uses Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and reflectance spectroscopy data to map mineral components of soils covering a part of the state of São Paulo, Brazil, which could be linked to key aspects of environmental transformations in this tropical area (e.g., climate change, shifts in agriculture fronts, ph, and soil characteristics). We collected forty-two (42) soil samples at a depth of 0?20 cm, considering that this superficial layer corresponds to the highest correlation ... Mostrar Tudo |
Palavras-Chave: |
ASTER; Hyperspectral; Tropical terrains. |
Thesaurus NAL: |
reflectance spectroscopy; soil minerals. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/42687/1/identification-vicente.pdf
|
Marc: |
LEADER 03436naa a2200217 a 4500 001 1901889 005 2019-05-03 008 2011 bl uuuu u00u1 u #d 022 $a0034-4257 024 7 $adoi:10.1016/j.rse.2011.02.023$2DOI 100 1 $aVICENTE, L. E. 245 $aIdentification of mineral components in tropical soils using reflectance spectroscopy and advanced spaceborne thermal emission and reflection radiometer (ASTER) data. 260 $c2011 520 $aSoil characteristics provide important support for understanding transformations that occur in environmental systems. Physical characteristics and chemical compositions of soils controlled by pedogenetic processes, climatic changes and land use imply different types of environmental transformations. Reflectance spectroscopy is an alternative soil mapping technique that uses spectral absorption features between visible (VIS) and short-wave infrared (SWIR) wavelengths (0.3?2.5 μm) for determining soil mineralogy. Soil analysis by means of reflectance spectroscopy and orbital optical sensors have provided favorable results in mapping transformation processes in environmental systems, particularly in arid and semiarid climates in extra-tropical terrains. In the case of inter-tropical environments, these methods cannot be readily applied due to local factors such as lack of exposed regolith, high amounts of soil moisture and the presence of dense vegetation. This study uses Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and reflectance spectroscopy data to map mineral components of soils covering a part of the state of São Paulo, Brazil, which could be linked to key aspects of environmental transformations in this tropical area (e.g., climate change, shifts in agriculture fronts, ph, and soil characteristics). We collected forty-two (42) soil samples at a depth of 0?20 cm, considering that this superficial layer corresponds to the highest correlation with soil properties detected by the ASTER sensor. These samples were measured using a FieldSpec FR spectrometer, and the derived spectra were interpreted for mineral composition. Interpretation was supported by X-ray diffraction analysis on the same samples. The spectral signatures were re-sampled to ASTER VNIR (AST1-4: 0.52?0.86 μm) and SWIR (AST5-9: 1.60?2.43 μm) spectral bandwidths and validated by comparing reflectance spectra of field samples with those extracted from atmospherically corrected and calibrated ASTER pixels. The agreement between spectral signatures measured from soil samples and those derived from ASTER imagery pixels proved plausible, with R2 correlation values ranging from 0.6493 to 0.7886. This signifies that diagnostic spectral features of key minerals in tropical soils can be mapped at the spectral resolution of 9-band ASTER VNIR through SWIR reflectance. We used these spectral signatures as end-members in hyperspectral routine classifications adapted for use with ASTER data. Results proved possible the identification and remote mapping of minerals such as kaolinite, montmorillonite and gibbsite, as well as the distinction between iron-rich and iron-poor soils. 650 $areflectance spectroscopy 650 $asoil minerals 653 $aASTER 653 $aHyperspectral 653 $aTropical terrains 700 1 $aSOUZA FILHO, C. R. de 773 $tRemote Sensing of Environment$gv. 115, p. 1824-1836, 2011.
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