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| Registros recuperados : 393 | |
| 301. |  | FERRAZ, R. P. D.; PRADO, R. B.; SIMÕES, M.; FIDALGO, E. C. C.; BERGIER, I.; PARRON, L. M.; CAMPANHA, M. M.; WINCKLER, L. T. Serviços ecossistêmicos: relações com a agricultura. In: FERRAZ, R. P. D.; PRADO, R. B.; PARRON, L. M.; CAMPANHA, M. M. (Ed.). Marco referencial em serviços ecossistêmicos. Brasília, DF: Embrapa, 2019. cap. 4, p. 89-107.| Biblioteca(s): Embrapa Clima Temperado; Embrapa Florestas; Embrapa Milho e Sorgo; Embrapa Pantanal; Embrapa Solos. |
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| 302. | | SIMOES, M. L.; FERREIRA, J. A.; SEGNINI, A.; SILVA, W. T L da; BAYER, C.; MILORI, D. M. B. P.; MARTIN-NETO, L. Soil tillage system effects in the formation of Hydrophobic Sites in humic acids. In: MARTIN-NETO, L.; MILORI, D.M.B.P.; SILVA, W.T.L. (Ed.). Humic substances and soil and water environment: International Meeting of IHSS, 12. São Carlos : Embrapa Instrumentação Agropecuária, 2004. p. 677-680. CLASSIFICAÇÃO CDD: 630| Biblioteca(s): Embrapa Instrumentação. |
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| 303. | | SIMÕES, M. L.; SEGNINI, A.; FERREIRA, J. A.; SILVA, W. T. L. DA; MILORI, D. M. B. P.; MARTIN-NETO, L.; BAYER, C. Soil tillage system effects in the formation of hydrophobic sites in humic acids. In: INTERNATIONAL MEETING OF INTERNATIONAL HUMIC SUBSTANCES SOCIETY. -- IHSS, 12, São Pedro, SP, 2004. Humic substances and soil and water environment. Abstracts...[São Carlos], SP: Embrapa Instrumentação Agropecuária, 2004. p. 85.| Biblioteca(s): Embrapa Instrumentação. |
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| 304. | | SIMÕES, M. L.; FERREIRA, J. A.; SILVA, W. T. L. da; MILORI, D. M. B. P.; COSTA FILHO, A. J. da; NASCIMENTO, O. R.; MARTIN-NETO, L. Study of the conformational arrangement of humic substances using spin labeling. In: FRIMMEL, F. H.; ABBT-BRAUN, G. (Ed.). MEETING OF THE INTERNATIONAL HUMIC SUBSTANCES SOCIETY, 13TH ., 2006, Karlsruhe. Humic substances - Linking structure to functions. Proceedings... [S. l.]: IHSS, 2006. p. 289-292.| Biblioteca(s): Embrapa Instrumentação. |
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| 305. | | SIMÕES, M. L.; FERREIRA, J. A.; SILVA, W. T. L. da; MILORI, D. M. B. P.; COSTA-FILHO, A. J. da; NASCIMENTO, O. R.; MARTIN-NETO, L. Utilização da metodologia de marcador de spin para avaliar a conformação estrutural de ácido húmico. In: ENCONTRO BRASILEIRO DE SUBSTÂNCIAS HÚMICAS, 6., 2005, Rio de Janeiro. Resumos expandidos... Rio de Janeiro: EMBRAPA Solos, 2005. p. 171-174.| Biblioteca(s): Embrapa Instrumentação. |
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| 306. | | SIMÕES, M. L.; FERREIRA, J. A.; SILVA, W. T. L. da; MILORI, D. M. B. P.; COSTA-FILHO, A. J.; NASCIMENTO, O. R.; MARTIN-NETO, L. Utilização da metodologia de marcador de spin para estudo da interação hidrofóbica em substâncias húmicas. In: ENCONTRO BRASILEIRO DE SUBSTÂNCIAS HÚMICAS - EBSH, 7., 2007, Florianópolis, SC. As substâncias húmicas podem ajudar a salvar o planeta terra? Livro de resumos... Florianópolis: EBSH, 2007. p. 09.| Biblioteca(s): Embrapa Instrumentação. |
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| 307. | | NOVAES, A. P. de; SIMOES, M. L.; MARTIN-NETO, L.; CRUVINEL, P. E.; SANTANA, A.; NOVOTNY, E. H.; SANTIAGO, G.; NOGUEIRA, A. R. de A. Utilização de uma fossa séptica biodigestora para melhoria do saneamento rural e desenvolvimento da agricultura orgânica São Carlos,SP: Embrapa Instrumentação Agropecuária, 2002. 5 p. (Embrapa Instrumentação Agropecuária. Comunicado Técnico, 46)| Biblioteca(s): Embrapa Amazônia Ocidental; Embrapa Instrumentação; Embrapa Meio-Norte; Embrapa Rondônia; Embrapa Unidades Centrais. |
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| 308. | | NOVAES, A. P. de; SIMOES, M. L.; MARTIN-NETO, L.; CRUVINEL, P. E.; SANTANA, A.; NOVOTNY, E. H.; SANTIAGO, G.; NOGUEIRA, A. R. de A. Utilização de uma fossa séptica biogestora para melhoria do saneamento rural e desenvolvimento da agricultura orgânica. São Carlos, SP: Embrapa Instrumentação Agropecuária, 2002. 5 p. (Embrapa Instrumentação. Comunicado Tecnico, 46).| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 309. | | MANZATTO, C. V.; BACA, J. F. M.; PEREIRA, S. E. M.; ASSAD, E. D.; SIMÕES, M.; BACA, A. F. M.; NAIME, U. J.; MOTTA, P. E. F. da. Zoneamento agroecológico da cana-de-açúcar: abordagem metodológica para integração temática de grandes áreas territoriais. In: PRADO, R. B.; TURETTA, A. P. D.; ANDRADE, A. G. de (Org.). Manejo e conservação do solo e da água no contexto das mudanças ambientais. Rio de Janeiro: Embrapa Solos, 2010. pt. 3, cap. 2, p. 193-214.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Solos. |
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| 310. | | TURETTA, A. P. D.; FONTE, G.; ORTIZ VALENCIA, L. I.; EUPEN, M. van; PEREZ-SOBA, M.; COUTINHO, H. L. da C.; OYARZABA, M.; BAEZA, S.; SIMÕES, M.; FISTAROL, G.; SCHLINDWEIN, S. Adaptation and preparation of a Spatial Regional Reference Framework for MERCOSUR regions. Rio de Janeiro: Embrapa Solos, 2009. 223 p.| Biblioteca(s): Embrapa Solos. |
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| 311. | | CUNHA, T. J. F.; MATIN-NETO, L.; MADARI, B. E.; SIMÕES, M. L.; SILVA, W. T. L. da; MILORI, D. M. B. P.; BENITES, V. M.; CANELLAS, L. P.; NOVOTNY, E. H.; SANTOS, G. de A. Ácidos húmicos de solos antropogênicos: estudo espectroscópico por RPE e RMN ¹³C. In: ENCONTRO BRASILEIRO DE SUBSTÂNCIAS HÚMICAS, 6., 2005, Rio de Janeiro. Resumos expandidos... Rio de Janeiro: EMBRAPA Solos, 2005. p. 119-122.| Biblioteca(s): Embrapa Instrumentação. |
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| 312. | | MARTIN NETO, L.; SIMÕES, M. L.; FERREIRA, J. A.; MILORI, D. M. B. P.; SILVA, W. T. L. da; PEREZ, M. G.; NASCIMENTO, O. R.; BAYER, C.; MIELNICZUK, J. Applications of spectroscopies in humic substances research. In: HUMIC SCIENCE AND TECHNOLOGY, 8., 2005, Boston. Aggregation and physiological effects: [abstracts]. Boston: Northeastern University, 2005.| Biblioteca(s): Embrapa Instrumentação. |
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| 313. | | SIMÕES, M. R. S.; LEAL, J. J. B.; MINHO, A. P.; GULIAS GOMES, C. C.; MACNEIL, M. D.; COSTA, R. F.; JUNQUEIRA, V. S.; SCHMIDT, P. I.; CARDOSO, F. F.; BOLIGON, A. A.; YOKOO, M. J. I. Breeding objectives of Brangus cattle in Brazil. Journal of Animal Breeding Genetics, v. 37, n. 2, p. 177-188, Mar. 2019.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 314. | | SIMÕES, M. R. S.; LEAL, J. J. B.; MINHO, A. P.; GULIAS GOMES, C. C.; MACNEIL, M. D.; COSTA, R. F.; JUNQUEIRA, V. S.; SCHMIDT, P. I.; CARDOSO, F. F.; BOLIGON, A. A.; YOKOO, M. J. I. Breeding objectives of Brangus cattle in Brazil. Journal of Animal Breeding and Genetics, v. 137, n. 2, p. 177-188, Mar. 2020.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 315. | | DRUCKER, D. P.; VICTORIA, D. de C.; FIDALGO, E. C. C.; SIMÕES, M.; BERTIN, P. R. B.; PINTO, D. M.; SILVA, A. C. da; DOMPIERI, M.; RASCHE, F.; CUSTODIO, D. de O. Challenges for the sustainability and evolution of a spatial data digital repository on agricultural research. In: INTERNATIONAL DATA WEEK; THE INTERNATIONAL CONFERENCE FOR SCRUTINY AND DISCUSSION OF THE FRONTIER ISSUES OF DATA IN RESEARCH; PLENARY MEETING OF THE RESEARCH DATA ALLIANCE, 12., 2018, Gaborone. The digital frontiers of global science. Gaborone: CODATA, 2018. Não paginado. IDW 2018. SciDataCon 2018. RDA Plenary Meeting 2018.| Biblioteca(s): Embrapa Solos. |
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| 316. | | DRUCKER, D. P.; VICTORIA, D. de C.; FIDALGO, E. C. C.; SIMÕES, M.; BERTIN, P. R. B.; PINTO, D. M.; SILVA, A. C. da; DOMPIERI, M.; RASCHE, F.; CUSTODIO, D. de O. Challenges for the sustainability and evolution of a spatial data digital repository on agricultural research. In: INTERNATIONAL DATA WEEK; THE INTERNATIONAL CONFERENCE FOR SCRUTINY AND DISCUSSION OF THE FRONTIER ISSUES OF DATA IN RESEARCH; PLENARY MEETING OF THE RESEARCH DATA ALLIANCE, 12., 2018, Gaborone. The digital frontiers of global science. Gaborone: CODATA, 2018. Não paginado. IDW 2018. SciDataCon 2018. RDA Plenary Meeting 2018.| Biblioteca(s): Embrapa Florestas. |
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| 317. | | DRUCKER, D. P.; VICTORIA, D. de C.; FIDALGO, E. C. C.; SIMÕES, M.; BERTIN, P. R. B.; PINTO, D. M.; SILVA, A. C. da; DOMPIERI, M.; RASCHE, F.; CUSTODIO, D. de O. Challenges for the sustainability and evolution of a spatial data digital repository on agricultural research. In: INTERNATIONAL DATA WEEK; THE INTERNATIONAL CONFERENCE FOR SCRUTINY AND DISCUSSION OF THE FRONTIER ISSUES OF DATA IN RESEARCH; PLENARY MEETING OF THE RESEARCH DATA ALLIANCE, 12., 2018, Gaborone. The digital frontiers of global science. Gaborone: CODATA, 2018. Não paginado. IDW 2018. SciDataCon 2018. RDA Plenary Meeting 2018.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Territorial. |
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| 318. | | SEGNINI, A.; CARVALHO, J. L. N.; BOLONHEZI, D.; MILORI, D. M. B. P.; SILVA, W. T. L. da; SIMOES, M. L.; CANTARELLA, H.; MARIA, I. C. de; MARTIN NETO, L. Carbon stock and humification index of organic matter affected by sugarcane straw and soil management. Scientia agrícola, Piracicaba, v. 70, n. 5, p. 321-326, 2013.| Biblioteca(s): Embrapa Instrumentação. |
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| 319. | | MACHADO, P. L. O. de A.; BERNARDI, A. C. de C.; ORTIZ VALENCIA, L. I.; SIMÕES, M.; SILVA, C. A.; GIMENEZ, L. M.; MOLIN, J. P.; MADARI, B. E. Carbon stocks of a rhodic ferralsol under no-tillage in Southern Brazil: spatial variability at a farm scale. Australian Journal of Soil Research, v. 47, n. 3, p. 253-260, 2009.| Biblioteca(s): Embrapa Solos. |
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| 320. | | RIBEIRO, L. M.; PEIXOTO, J. R.; ANDRADE, S. R. M.; RESENDE, R. O.; SIMÕES, M. O. M.; FONSECA, R. S.; VIEIRA, L. M.; PEREIRA, W. V. S.; NEVES, S. C. Microenxertia ex vitro visando a eliminação do vírus do endurecimento dos frutos em maracujazeiro-azedo. In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 19., 2006, Cabo Frio. Frutas do Brasil: saúde para o mundo: palestras e resumos. Cabo Frio: SBF; UENF; UFRRJ, 2006. p. 172.| Biblioteca(s): Embrapa Cerrados. |
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| Registros recuperados : 393 | |
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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. |
Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
18/04/2019 |
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Data da última atualização: |
08/11/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
WALDNER, F.; BELLEMANS, N.; HOCHMAN, Z.; NEWBY, T.; ABELLEYRA, D. de; VERÓN, S. R.; BARTALEV, S.; LAVRENIUK, M.; KUSSUL, N.; LE MAIRE, G.; SIMÕES, M.; SKAKUN, S.; DEFOURNY, P. |
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Afiliação: |
FRANÇOIS WALDNER, CSIRO AGRICULTURE & FOOD, AUSTRALIA; NICOLAS BELLEMANS, UNIVERSITE CATHOLIQUE DE LOUVAIN, BELGIUM; ZVI HOCHMAN, CSIRO AGRICULTURE & FOOD, AUSTRALIA; TERENCE NEWBY, AGRICULTURAL RESEARCH COUNCIL, SOUTH AFRICA; DIEGO DE ABELLEYRA, INSTITUTO DE CLIMA Y AGUA, INSTITUTO NACIONAL DE TECNOLOGIA AGROPECUARIA, ARGENTINA; SANTIAGO R. VERÓN, INSTITUTO DE CLIMA Y AGUA, INSTITUTO NACIONAL DE TECNOLOGÍA AGROPECUARIA, ARGENTINA; SERGEY BARTALEV, SPACE RESEARCH INSTITUTE OF RUSSIAN ACADEMY OF SCIENCES, RUSSIA; MYKOLA LAVRENIUK, SPACE RESEARCH INSTITUTE NAS AND SSA, UKRAINE; NATALIIA KUSSUL, SPACE RESEARCH INSTITUTE NAS AND SSA, UKRAINE; GUERRIC LE MAIRE, CIRAD / ECO &SOLS / UNIV MONTPELLIER, FRANCE; MARGARETH GONCALVES SIMOES, CNPS; SERGII SKAKUN, DEPARTMENT OF GEOGRAPHICAL SCIENCES, UNIVERSITY OF MARYLAND, USA; PIERRE DEFOURNY, UNIVERSITÉ CATHOLIQUE DE LOUVAIN, BELGIUM. |
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Título: |
Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
International Journal of Applied Earth Observation and Geoinformation, v. 80, p. 82-93, Aug. 2019. |
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DOI: |
10.1016/j.jag.2019.01.002 |
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Idioma: |
Inglês |
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Conteúdo: |
Cropland maps derived from satellite imagery have become a common source of information to estimate food production, support land use policies, and measure the environmental impacts of agriculture. Cropland classification models are typically calibrated with data collected from roadside surveys which enable the sampling of large areas at a relatively low cost. However, there is a risk of providing biased data as environmental and management gradients may not be fully captured from road networks, thereby violating the assumption of representativeness of calibration data. Despite being widely adopted, the potential biases of roadside sampling have so far not been thoroughly addressed. In this study, we looked for evidence of these biases by comparing three sampling strategies: Random sampling, Roadside sampling, and Transect sampling - a spatially constrained variant of Roadside sampling. In these three strategies, non-cropland data are randomly distributed as they can be photo-interpreted. Based on reference maps at 30 m in four study sites, we followed a Monte Carlo approach to generate multiple realizations of each sampling strategy for ten sample sizes. The effect of the sampling strategy was then assessed in terms of representativeness of the data set collected and accuracy of the resulting maps. Results showed that data sets obtained from Roadside sampling were significantly less representative than those obtained from Random sampling but the resulting maps were only marginally less accurate (2% difference). Transect sampling captured systematically less variability than Random or Roadside sampling which led to differences in accuracy as large as 15%. The effect of sample size on accuracy varied across sites but generally leveled off after reaching 3000 pixels. Augmenting the size of Transect samples improved the classification accuracy but not sufficiently to match the performance of the other sampling strategies. Finally, we found that Random and Roadside training sets with similar representativeness yield comparable accuracy. Therefore, we conclude that roadside sampling can be a viable source of training data for cropland mapping if the range of environmental and management gradients is surveyed. This underlines the importance of survey planning to identify those routes that capture most variability. MenosCropland maps derived from satellite imagery have become a common source of information to estimate food production, support land use policies, and measure the environmental impacts of agriculture. Cropland classification models are typically calibrated with data collected from roadside surveys which enable the sampling of large areas at a relatively low cost. However, there is a risk of providing biased data as environmental and management gradients may not be fully captured from road networks, thereby violating the assumption of representativeness of calibration data. Despite being widely adopted, the potential biases of roadside sampling have so far not been thoroughly addressed. In this study, we looked for evidence of these biases by comparing three sampling strategies: Random sampling, Roadside sampling, and Transect sampling - a spatially constrained variant of Roadside sampling. In these three strategies, non-cropland data are randomly distributed as they can be photo-interpreted. Based on reference maps at 30 m in four study sites, we followed a Monte Carlo approach to generate multiple realizations of each sampling strategy for ten sample sizes. The effect of the sampling strategy was then assessed in terms of representativeness of the data set collected and accuracy of the resulting maps. Results showed that data sets obtained from Roadside sampling were significantly less representative than those obtained from Random sampling but the resulting maps were only mar... Mostrar Tudo |
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Thesagro: |
Agricultura; Agricultura de Precisão; Amostragem; Tamanho. |
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Thesaurus NAL: |
Accuracy; Agriculture; Classification; Samplers; Sampling. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 03464naa a2200385 a 4500
001 2108335
005 2019-11-08
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1016/j.jag.2019.01.002$2DOI
100 1 $aWALDNER, F.
245 $aRoadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed.$h[electronic resource]
260 $c2019
520 $aCropland maps derived from satellite imagery have become a common source of information to estimate food production, support land use policies, and measure the environmental impacts of agriculture. Cropland classification models are typically calibrated with data collected from roadside surveys which enable the sampling of large areas at a relatively low cost. However, there is a risk of providing biased data as environmental and management gradients may not be fully captured from road networks, thereby violating the assumption of representativeness of calibration data. Despite being widely adopted, the potential biases of roadside sampling have so far not been thoroughly addressed. In this study, we looked for evidence of these biases by comparing three sampling strategies: Random sampling, Roadside sampling, and Transect sampling - a spatially constrained variant of Roadside sampling. In these three strategies, non-cropland data are randomly distributed as they can be photo-interpreted. Based on reference maps at 30 m in four study sites, we followed a Monte Carlo approach to generate multiple realizations of each sampling strategy for ten sample sizes. The effect of the sampling strategy was then assessed in terms of representativeness of the data set collected and accuracy of the resulting maps. Results showed that data sets obtained from Roadside sampling were significantly less representative than those obtained from Random sampling but the resulting maps were only marginally less accurate (2% difference). Transect sampling captured systematically less variability than Random or Roadside sampling which led to differences in accuracy as large as 15%. The effect of sample size on accuracy varied across sites but generally leveled off after reaching 3000 pixels. Augmenting the size of Transect samples improved the classification accuracy but not sufficiently to match the performance of the other sampling strategies. Finally, we found that Random and Roadside training sets with similar representativeness yield comparable accuracy. Therefore, we conclude that roadside sampling can be a viable source of training data for cropland mapping if the range of environmental and management gradients is surveyed. This underlines the importance of survey planning to identify those routes that capture most variability.
650 $aAccuracy
650 $aAgriculture
650 $aClassification
650 $aSamplers
650 $aSampling
650 $aAgricultura
650 $aAgricultura de Precisão
650 $aAmostragem
650 $aTamanho
700 1 $aBELLEMANS, N.
700 1 $aHOCHMAN, Z.
700 1 $aNEWBY, T.
700 1 $aABELLEYRA, D. de
700 1 $aVERÓN, S. R.
700 1 $aBARTALEV, S.
700 1 $aLAVRENIUK, M.
700 1 $aKUSSUL, N.
700 1 $aLE MAIRE, G.
700 1 $aSIMÕES, M.
700 1 $aSKAKUN, S.
700 1 $aDEFOURNY, P.
773 $tInternational Journal of Applied Earth Observation and Geoinformation$gv. 80, p. 82-93, Aug. 2019.
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