Net Radiation in the Semiarid Region of the States of Paraíba and Rio Grande do Norte Using the MODIS Sensor

Detalhes bibliográficos
Autor(a) principal: Silva, Madson Tavares
Data de Publicação: 2022
Outros Autores: Oliveira, Verônica Gabriella de, Santos, Carlos Antonio Costa dos, da Silva, Lindenberg Lucena, Santos, Francineide Amorim Costa, Serrão, Edivaldo Afonso de Oliveira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anuário do Instituto de Geociências (Online)
Texto Completo: https://revistas.ufrj.br/index.php/aigeo/article/view/42790
Resumo: This study aimed to estimate the surface net radiation (Rn) for the States of Paraíba and Rio Grande do Norte and validate the results with data measured in validate the results with measurements in experimental recovering (CRec), degraded (CDeg), and preserved (CPres) areas of Caatinga. Seventeen images of the MODIS sensor on board the Terra satellite were selected for CRec and CDeg in the State of Paraíba and twenty-eight images for CPres in the state of Rio Grande do Norte, corresponding to the period of January to December 2014. The MODIS-Terra MOD09A1 and MOD11A2 products were used. Parametric (Shapiro-Wilk) and non-parametric (Kolmogorov-Smirnov and Wilcoxon-Mann-Whitney) tests were applied to understand the patterns. Statistical error indices were applied to verify the accuracy of the estimates in relation to the observed values. Only the measured albedo (α_meas) met the assumption of normality. According to mean absolute percentage error statistics, the model used to estimate the albedo was classified as inappropriate for CPres and CRec ( 25%), while it was satisfactory for CDeg (15-25%). Significant differences between observed and estimated values were absent only for the variable Rn in the three observation sites. The good performance of Rn estimates confirms the efficiency of the application of the method in semiarid regions.
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spelling Net Radiation in the Semiarid Region of the States of Paraíba and Rio Grande do Norte Using the MODIS SensorRemote sensing; Albedo; CaatingaThis study aimed to estimate the surface net radiation (Rn) for the States of Paraíba and Rio Grande do Norte and validate the results with data measured in validate the results with measurements in experimental recovering (CRec), degraded (CDeg), and preserved (CPres) areas of Caatinga. Seventeen images of the MODIS sensor on board the Terra satellite were selected for CRec and CDeg in the State of Paraíba and twenty-eight images for CPres in the state of Rio Grande do Norte, corresponding to the period of January to December 2014. The MODIS-Terra MOD09A1 and MOD11A2 products were used. Parametric (Shapiro-Wilk) and non-parametric (Kolmogorov-Smirnov and Wilcoxon-Mann-Whitney) tests were applied to understand the patterns. Statistical error indices were applied to verify the accuracy of the estimates in relation to the observed values. Only the measured albedo (α_meas) met the assumption of normality. According to mean absolute percentage error statistics, the model used to estimate the albedo was classified as inappropriate for CPres and CRec ( 25%), while it was satisfactory for CDeg (15-25%). Significant differences between observed and estimated values were absent only for the variable Rn in the three observation sites. The good performance of Rn estimates confirms the efficiency of the application of the method in semiarid regions.Universidade Federal do Rio de JaneiroConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Silva, Madson TavaresOliveira, Verônica Gabriella deSantos, Carlos Antonio Costa dosda Silva, Lindenberg LucenaSantos, Francineide Amorim CostaSerrão, Edivaldo Afonso de Oliveira2022-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/4279010.11137/1982-3908_2022_45_42790Anuário do Instituto de Geociências; Vol 45 (2022)Anuário do Instituto de Geociências; Vol 45 (2022)1982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJenghttps://revistas.ufrj.br/index.php/aigeo/article/view/42790/pdf/*ref*/Allen, R.G., Pereira, L.S., Raes, D. & Smith, M. 1998, Crop evapotranspiration: Guidelines for computing crop water requirements, Paper No. 56, United Nations FAO, Irrigation and Drainage, New York./*ref*/Allen, R., Tasumi, M. & Trezza, R. 2002, SEBAL (Surface Energy Balance Algorithms for Land) – Advanced Training and User’s Manual– Idaho Implementation, version 1.0, Idaho./*ref*/Amatya, P.M., Ma, Y., Han, C., Wang, B. & Devkot, L. P. 2015, 'Estimation of net radiation flux distribution on the southern slopes of the central Himalayas using MODIS data', Atmospheric Research, vol. 154, pp. 146–54, DOI:10.1016/j.atmosres.2014.11.015./*ref*/Araújo, A.L., Silva, M.T., Silva, B.B., Santos, C.A.C. & Amorim, M.R.B. 2017, 'Modelagem simplificada para estimativa do balanço de energia à superfície em escala regional (R-SSEB)', Revista Brasileira de Meteorologia, vol. 32, no. 3, pp. 433–46, DOI:10.1590/0102-77863230010./*ref*/Araújo, A.L., Silva, M.T., Silva, B.B., Santos, C.A.C. & Dantas, M.P. 2018, 'Análise das mudanças de parâmetros biofísicos sobre o Nordeste Brasileiro de 2002 a 2011 com dados MODIS', Revista Brasileira de Meteorologia, vol. 33, no. 4, pp. 589–99, DOI:10.1590/0102-7786334002./*ref*/Araújo, A.L., Silva, B.B. & Braga, C.C. 2012, 'Simplified modeling of downwelling long-wave radiation over Brazilian semi-arid under irrigation conditions', Revista Brasileira de Geofísica, vol. 30, no. 2, pp. 137–45, DOI:10.22564/rbgf.v30i2.87./*ref*/Alvares, C.A., Stape, J.L., Sentelhas, P.C., Gonçalves, J.L.M. & Sparovek, G. 2014, 'Koppen’s climate classification map for Brazil', Meteorol. 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dc.title.none.fl_str_mv Net Radiation in the Semiarid Region of the States of Paraíba and Rio Grande do Norte Using the MODIS Sensor
title Net Radiation in the Semiarid Region of the States of Paraíba and Rio Grande do Norte Using the MODIS Sensor
spellingShingle Net Radiation in the Semiarid Region of the States of Paraíba and Rio Grande do Norte Using the MODIS Sensor
Silva, Madson Tavares
Remote sensing; Albedo; Caatinga
title_short Net Radiation in the Semiarid Region of the States of Paraíba and Rio Grande do Norte Using the MODIS Sensor
title_full Net Radiation in the Semiarid Region of the States of Paraíba and Rio Grande do Norte Using the MODIS Sensor
title_fullStr Net Radiation in the Semiarid Region of the States of Paraíba and Rio Grande do Norte Using the MODIS Sensor
title_full_unstemmed Net Radiation in the Semiarid Region of the States of Paraíba and Rio Grande do Norte Using the MODIS Sensor
title_sort Net Radiation in the Semiarid Region of the States of Paraíba and Rio Grande do Norte Using the MODIS Sensor
author Silva, Madson Tavares
author_facet Silva, Madson Tavares
Oliveira, Verônica Gabriella de
Santos, Carlos Antonio Costa dos
da Silva, Lindenberg Lucena
Santos, Francineide Amorim Costa
Serrão, Edivaldo Afonso de Oliveira
author_role author
author2 Oliveira, Verônica Gabriella de
Santos, Carlos Antonio Costa dos
da Silva, Lindenberg Lucena
Santos, Francineide Amorim Costa
Serrão, Edivaldo Afonso de Oliveira
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.contributor.author.fl_str_mv Silva, Madson Tavares
Oliveira, Verônica Gabriella de
Santos, Carlos Antonio Costa dos
da Silva, Lindenberg Lucena
Santos, Francineide Amorim Costa
Serrão, Edivaldo Afonso de Oliveira
dc.subject.por.fl_str_mv Remote sensing; Albedo; Caatinga
topic Remote sensing; Albedo; Caatinga
description This study aimed to estimate the surface net radiation (Rn) for the States of Paraíba and Rio Grande do Norte and validate the results with data measured in validate the results with measurements in experimental recovering (CRec), degraded (CDeg), and preserved (CPres) areas of Caatinga. Seventeen images of the MODIS sensor on board the Terra satellite were selected for CRec and CDeg in the State of Paraíba and twenty-eight images for CPres in the state of Rio Grande do Norte, corresponding to the period of January to December 2014. The MODIS-Terra MOD09A1 and MOD11A2 products were used. Parametric (Shapiro-Wilk) and non-parametric (Kolmogorov-Smirnov and Wilcoxon-Mann-Whitney) tests were applied to understand the patterns. Statistical error indices were applied to verify the accuracy of the estimates in relation to the observed values. Only the measured albedo (α_meas) met the assumption of normality. According to mean absolute percentage error statistics, the model used to estimate the albedo was classified as inappropriate for CPres and CRec ( 25%), while it was satisfactory for CDeg (15-25%). Significant differences between observed and estimated values were absent only for the variable Rn in the three observation sites. The good performance of Rn estimates confirms the efficiency of the application of the method in semiarid regions.
publishDate 2022
dc.date.none.fl_str_mv 2022-07-01
dc.type.none.fl_str_mv

dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/42790
10.11137/1982-3908_2022_45_42790
url https://revistas.ufrj.br/index.php/aigeo/article/view/42790
identifier_str_mv 10.11137/1982-3908_2022_45_42790
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/42790/pdf
/*ref*/Allen, R.G., Pereira, L.S., Raes, D. & Smith, M. 1998, Crop evapotranspiration: Guidelines for computing crop water requirements, Paper No. 56, United Nations FAO, Irrigation and Drainage, New York.
/*ref*/Allen, R., Tasumi, M. & Trezza, R. 2002, SEBAL (Surface Energy Balance Algorithms for Land) – Advanced Training and User’s Manual– Idaho Implementation, version 1.0, Idaho.
/*ref*/Amatya, P.M., Ma, Y., Han, C., Wang, B. & Devkot, L. P. 2015, 'Estimation of net radiation flux distribution on the southern slopes of the central Himalayas using MODIS data', Atmospheric Research, vol. 154, pp. 146–54, DOI:10.1016/j.atmosres.2014.11.015.
/*ref*/Araújo, A.L., Silva, M.T., Silva, B.B., Santos, C.A.C. & Amorim, M.R.B. 2017, 'Modelagem simplificada para estimativa do balanço de energia à superfície em escala regional (R-SSEB)', Revista Brasileira de Meteorologia, vol. 32, no. 3, pp. 433–46, DOI:10.1590/0102-77863230010.
/*ref*/Araújo, A.L., Silva, M.T., Silva, B.B., Santos, C.A.C. & Dantas, M.P. 2018, 'Análise das mudanças de parâmetros biofísicos sobre o Nordeste Brasileiro de 2002 a 2011 com dados MODIS', Revista Brasileira de Meteorologia, vol. 33, no. 4, pp. 589–99, DOI:10.1590/0102-7786334002.
/*ref*/Araújo, A.L., Silva, B.B. & Braga, C.C. 2012, 'Simplified modeling of downwelling long-wave radiation over Brazilian semi-arid under irrigation conditions', Revista Brasileira de Geofísica, vol. 30, no. 2, pp. 137–45, DOI:10.22564/rbgf.v30i2.87.
/*ref*/Alvares, C.A., Stape, J.L., Sentelhas, P.C., Gonçalves, J.L.M. & Sparovek, G. 2014, 'Koppen’s climate classification map for Brazil', Meteorol. Z., vol. 22, no. 6, pp. 711–28, DOI:10.1127/0941-2948/2013/0507.
/*ref*/Bastiaanssen, W.G.M. 1995, 'Regionalization of surface flux densities and moisture indicators in composite terrain: a remote sensing approach under clear skies in Mediterranean climates', PhD Dissertation, CIP Data Koninklijke Bibliotheek, DenHaag, The Netherlands.
/*ref*/Bisht, G. & Bras, R.L. 2011, 'Estimation of net radiation from the moderate resolution imaging spectroradiometer over the continental United States', IEEE Transactions on Geoscience and Remote Sensing, vol. 49, no. 6, pp. 2448–62, DOI:10.1109/TGRS.2010.2096227.
/*ref*/Bisht, G., Venturini, V., Islam, S. & Jiang, L. 2005, 'Estimation of the net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) data for clear-sky days', Remote Sensing of Environment, vol. 97, no. 1, pp. 52–67, DOI:10.1016/j.rse.2005.03.014.
/*ref*/Carmona, F., Rivas., R. & Caselles, V. 2014, 'Estimation of daytime downward longwave radiation under clear and cloudy skies conditions over a sub-humid region', Theoretical and Applied Climatology, vol. 115, pp. 281–95, DOI:10.1007/s00704-013-0891-3.
/*ref*/Ceballos, J.C., Bottino, M.J. & Souza, J.M.A. 2004, 'Simplified physical model for assessing solar radiation over Brazil using GOES 8 visible imagery', Journal of Geophysical Research, vol. 109, no. D2, D02211, DOI:10.1029/2003JD003531.
/*ref*/Cochran, W.G. 1977, Sampling techniques, 3rd edn, John Wiley & Sons, New York.
/*ref*/Cueto, R.G., Soto, N.S., Rincón, Z.H., Benítez, S.O. & Morales, G.B. 2015, 'Parameterization of net radiation in an arid city of northwestern Mexico', Atmósfera, vol. 28, no. 2, pp. 71–82, DOI:10.20937/ATM.2015.28.02.01.
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publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
dc.source.none.fl_str_mv Anuário do Instituto de Geociências; Vol 45 (2022)
Anuário do Instituto de Geociências; Vol 45 (2022)
1982-3908
0101-9759
reponame:Anuário do Instituto de Geociências (Online)
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Anuário do Instituto de Geociências (Online)
collection Anuário do Instituto de Geociências (Online)
repository.name.fl_str_mv Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)
repository.mail.fl_str_mv anuario@igeo.ufrj.br||
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