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 | Acesso ao texto completo restrito à biblioteca da Embrapa Meio Ambiente. Para informações adicionais entre em contato com cnpma.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente; Embrapa Semiárido. |
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Data corrente: |
23/12/2021 |
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Data da última atualização: |
15/03/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MELO, D. de C. D.; ANACHE, J. A. A.; BORGES, V. P.; GONZALEZ MIRALLES, D.; MARTENS, B.; FISHER, J. B.; NÓBREGA, R. L. B.; MORENO, Á.; CABRAL, O. M. R.; RODRIGUES, T. R.; BEZERRA, B.; SILVA, C. M. S. e; MEIRA NETO, A. A.; MOURA, M. S. B. de; MARQUES, T. V.; CAMPOS, S.; NOGUEIRA, J. de S.; ROSOLEM, R.; SOUZA, R. M. S.; ANTONINO, A. C. D.; HOLL, D.; GALLEGUILLOS, M.; PEREZ-QUEZADA, J.; VERHOEF, A.; KUTZBACH, L.; LIMA, J. R. de S.; SOUZA, E. S. de; GASSMANN, M. I.; PÉREZ, C. F.; TONTI, N. E.; POSSE, G.; RAINS, D.; OLIVEIRA, P. T.; WENDLAND, E. |
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Afiliação: |
DAVI DE CARVALHO DINIZ MELO, UFPB; JAMIL ALEXANDRE AYACH ANACHE, UFMS; VALÉRIA PEIXOTO BORGES, UFPB; DIEGO GONZALEZ MIRALLES, Ghent University; BRECHT MARTENS, Ghent University; JOSHUA B FISHER, Chapman University; RODOLFO LUIZ BEZERRA NÓBREGA, Imperial Coolege London; ÁLVARO MORENO MARTÍNEZ, University of Montana; OSVALDO MACHADO RODRIGUES CABRAL, CNPMA; THIAGO RANGEL RODRIGUES, UFMS; BERGSON BEZERRA, UFRN; CLÁUDIO MOISÉS SANTOS E SILVA, UFRN; ANTONIO ALVES MEIRA NETO, University of Arizona; MAGNA SOELMA BESERRA DE MOURA, CPATSA; THIAGO VALENTIM MARQUES, UFRN; SUANY CAMPOS, UFRN; JOSE DE SOUZA NOGUEIRA, UFMS; RAFAEL ROSOLEM, University of Bristol; RODOLFO M S SOUZA, Texas A&M University; ANTONIO CELSO DANTAS ANTONINO, UFPE; DAVID HOLL, Universität Hamburg; MAURICIO GALLEGUILLOS, Universidad de Chile; JORGE PEREZ-QUEZADA, Universidad de Chile; ANNE VERHOEF, University of Reading; LARS KUTZBACH, Universität Hamburg; JOSÉ ROMUALDO DE SOUSA LIMA, UFAPE; EDUARDO SOARES DE SOUZA, UFRPE; MARÍA ISABEL GASSMANN, Universidad de Buenos Aires; CLAUDIO F PÉREZ, CONICET; NATALIA EDITH TONTI, Universisidad de Buenos Aires; GABRIELA POSSE, INTA; DOMINIK RAINS, Ghent University; PAULO TARSO OLIVEIRA, UFMS; EDSON WENDLAND, EESC-USP. |
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Título: |
Are remote sensing evapotranspiration models reliable across South American ecoregions? |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Water Resources Research, v. 57, n. 11, e2020WR028752, 2021. |
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ISSN: |
0043-1397 |
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DOI: |
https://doi.org/10.1029/2020WR028752 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Many remote sensing-based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley-Taylor Jet Propulsion Laboratory (PT-JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman-Monteith Mu model (PM-MOD), and Penman-Monteith Nagler model (PM-VI). was predicted satisfactorily by all four models, with correlations consistently higher () for GLEAM and PT-JPL, and PM-MOD and PM-VI presenting overall better responses in terms of percent bias (%). As for PM-VI, this outcome is expected, given that the model requires calibration with local data. Model skill seems to be unrelated to land-use but instead presented some dependency on biome and climate, with the models producing the best results for wet to moderately wet environments. Our findings show the suitability of individual models for a number of combinations of land cover types, biomes, and climates. At the same time, no model outperformed the others for all conditions, which emphasizes the need for adapting individual algorithms to take into account intrinsic characteristics of climates and ecosystems in South America. MenosAbstract: Many remote sensing-based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley-Taylor Jet Propulsion Laboratory (PT-JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman-Monteith Mu model (PM-MOD), and Penman-Monteith Nagler model (PM-VI). was predicted satisfactorily by all four models, with correlations consistently higher () for GLEAM and PT-JPL, and PM-MOD and PM-VI presenting overall better responses in terms of percent bias (%). As for PM-VI, this outcome is expected, given that the model requires calibration with local data. Model skill seems to be unrelated to land-use but instead presented some dependency on biome and climate, with the models producing the best results for wet to moderately wet environments. Our findings show the suitability of individual models for a number of combinations of land cover types, biomes, and climates. At the same time, no model outperformed the others for all conditions, which emphasizes the need for adapting individual algorithms to take into account intrinsic characteristi... Mostrar Tudo |
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Thesagro: |
Evapotranspiração; Modelo de Simulação; Sensoriamento Remoto. |
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Thesaurus Nal: |
Climate models; Evapotranspiration; Mathematical models; Remote sensing. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 03298naa a2200625 a 4500
001 2138344
005 2022-03-15
008 2021 bl uuuu u00u1 u #d
022 $a0043-1397
024 7 $ahttps://doi.org/10.1029/2020WR028752$2DOI
100 1 $aMELO, D. de C. D.
245 $aAre remote sensing evapotranspiration models reliable across South American ecoregions?$h[electronic resource]
260 $c2021
520 $aAbstract: Many remote sensing-based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley-Taylor Jet Propulsion Laboratory (PT-JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman-Monteith Mu model (PM-MOD), and Penman-Monteith Nagler model (PM-VI). was predicted satisfactorily by all four models, with correlations consistently higher () for GLEAM and PT-JPL, and PM-MOD and PM-VI presenting overall better responses in terms of percent bias (%). As for PM-VI, this outcome is expected, given that the model requires calibration with local data. Model skill seems to be unrelated to land-use but instead presented some dependency on biome and climate, with the models producing the best results for wet to moderately wet environments. Our findings show the suitability of individual models for a number of combinations of land cover types, biomes, and climates. At the same time, no model outperformed the others for all conditions, which emphasizes the need for adapting individual algorithms to take into account intrinsic characteristics of climates and ecosystems in South America.
650 $aClimate models
650 $aEvapotranspiration
650 $aMathematical models
650 $aRemote sensing
650 $aEvapotranspiração
650 $aModelo de Simulação
650 $aSensoriamento Remoto
700 1 $aANACHE, J. A. A.
700 1 $aBORGES, V. P.
700 1 $aGONZALEZ MIRALLES, D.
700 1 $aMARTENS, B.
700 1 $aFISHER, J. B.
700 1 $aNÓBREGA, R. L. B.
700 1 $aMORENO, Á.
700 1 $aCABRAL, O. M. R.
700 1 $aRODRIGUES, T. R.
700 1 $aBEZERRA, B.
700 1 $aSILVA, C. M. S. e
700 1 $aMEIRA NETO, A. A.
700 1 $aMOURA, M. S. B. de
700 1 $aMARQUES, T. V.
700 1 $aCAMPOS, S.
700 1 $aNOGUEIRA, J. de S.
700 1 $aROSOLEM, R.
700 1 $aSOUZA, R. M. S.
700 1 $aANTONINO, A. C. D.
700 1 $aHOLL, D.
700 1 $aGALLEGUILLOS, M.
700 1 $aPEREZ-QUEZADA, J.
700 1 $aVERHOEF, A.
700 1 $aKUTZBACH, L.
700 1 $aLIMA, J. R. de S.
700 1 $aSOUZA, E. S. de
700 1 $aGASSMANN, M. I.
700 1 $aPÉREZ, C. F.
700 1 $aTONTI, N. E.
700 1 $aPOSSE, G.
700 1 $aRAINS, D.
700 1 $aOLIVEIRA, P. T.
700 1 $aWENDLAND, E.
773 $tWater Resources Research$gv. 57, n. 11, e2020WR028752, 2021.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
05/08/2011 |
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Data da última atualização: |
02/04/2013 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
CRUZ, S. A. B. da; MONTEIRO, A. M. V.; SANTOS, R. |
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Afiliação: |
SERGIO APARECIDO BRAGA DA CRUZ, CNPTIA; ANTONIO MIGUEL VIEIRA MONTEIRO, INPE; RAFAEL SANTOS, INPE. |
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Título: |
Development of geoprocessing applications for the Pantanal using automated compositions of web services. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Geografia, Rio Claro, v. 36, p. 159-172, jun. 2011. |
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Idioma: |
Inglês |
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Notas: |
Número especial. |
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Conteúdo: |
This paper presents an approach to develop geo-processing applications for the Pantanal region using automated compositions of geographic Web Services. The procedure for the automatic construction of these compositions is based on rules of geo-data quality requirements which indicate the conditions for geo-data use by a geo-processing functionality. These rules can be defined to describe geospatial characteristics to select suitable geo-processing services for use in the Pantanal region. Therefore this approach produces more robust and reliable service compositions, generating better quality geo-data when compared with other composition approaches. |
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Palavras-Chave: |
Geoprocessamento; Qualidade de geodado; Web services geográficos. |
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Thesaurus NAL: |
Geospatial data processing; Pantanal; Spatial data. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/39255/1/artigo-12.pdf
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Marc: |
LEADER 01367naa a2200229 a 4500
001 1897365
005 2013-04-02
008 2011 bl uuuu u00u1 u #d
100 1 $aCRUZ, S. A. B. da
245 $aDevelopment of geoprocessing applications for the Pantanal using automated compositions of web services.$h[electronic resource]
260 $c2011
500 $aNúmero especial.
520 $aThis paper presents an approach to develop geo-processing applications for the Pantanal region using automated compositions of geographic Web Services. The procedure for the automatic construction of these compositions is based on rules of geo-data quality requirements which indicate the conditions for geo-data use by a geo-processing functionality. These rules can be defined to describe geospatial characteristics to select suitable geo-processing services for use in the Pantanal region. Therefore this approach produces more robust and reliable service compositions, generating better quality geo-data when compared with other composition approaches.
650 $aGeospatial data processing
650 $aPantanal
650 $aSpatial data
653 $aGeoprocessamento
653 $aQualidade de geodado
653 $aWeb services geográficos
700 1 $aMONTEIRO, A. M. V.
700 1 $aSANTOS, R.
773 $tGeografia, Rio Claro$gv. 36, p. 159-172, jun. 2011.
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Embrapa Agricultura Digital (CNPTIA) |
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