Remote sensing products validated by flux tower data in Amazon rain forest
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional de Geociências - RIGEO |
dARK ID: | ark:/79692/0013000000gsw |
Texto Completo: | https://rigeo.sgb.gov.br/handle/doc/23297 |
Resumo: | This work compares methods of climate measurements, such as those used to measure evapotranspiration, precipitation, net radiation, and temperature. The satellite products used were compared and evaluated against flux tower data. Evapotranspiration was validated against the SSEBop monthly and GLEAM daily and monthly products, respectively, and the results were RMSE = 24.144 mm/month, NRMSE = 0.223, r2 = 0.163, slope = 0.411; RMSE = 1.781 mm/day, NRMSE = 0.599, r2 = 0.000, slope = 0.006; RMSE = 36.17 mm/month, NRMSE = 0.401, r2 = 0.002, and slope = 0.026. Precipitation was compared with the CHIRPS data, K67 was not part of the CHIRPS station correction. The results for both the daily and monthly comparisons were RMSE = 18.777 mm/day, NRMSE = 1.027, r2 = 0.086, slope = 0.238 and RMSE = 130.713 mm/month, NRMSE = 0.706, r2 = 0.402, and slope = 0.818. The net radiation validated monthly with CERES was RMSE = 75.357 W/m2, NRMSE = 0.383, r2 = 0.422, and slope = 0.867. The temperature results, as compared to MOD11C3, were RMSE = 2.829 C, NRMSE = 0.116, r2 = 0.153, and slope = 0.580. Comparisons between the remote sensing products and validation against the ground data were performed on a monthly basis. GLEAM and CHIRPS daily were the data sets with considerable discrepancy. |
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Remote sensing products validated by flux tower data in Amazon rain forestSensoriamento remotoVariáveis hidro-meteorológicasMedição climáticaAmazôniaRemote sensing productsHydro-meteorological variablesClimate measurementsAmazonThis work compares methods of climate measurements, such as those used to measure evapotranspiration, precipitation, net radiation, and temperature. The satellite products used were compared and evaluated against flux tower data. Evapotranspiration was validated against the SSEBop monthly and GLEAM daily and monthly products, respectively, and the results were RMSE = 24.144 mm/month, NRMSE = 0.223, r2 = 0.163, slope = 0.411; RMSE = 1.781 mm/day, NRMSE = 0.599, r2 = 0.000, slope = 0.006; RMSE = 36.17 mm/month, NRMSE = 0.401, r2 = 0.002, and slope = 0.026. Precipitation was compared with the CHIRPS data, K67 was not part of the CHIRPS station correction. The results for both the daily and monthly comparisons were RMSE = 18.777 mm/day, NRMSE = 1.027, r2 = 0.086, slope = 0.238 and RMSE = 130.713 mm/month, NRMSE = 0.706, r2 = 0.402, and slope = 0.818. The net radiation validated monthly with CERES was RMSE = 75.357 W/m2, NRMSE = 0.383, r2 = 0.422, and slope = 0.867. The temperature results, as compared to MOD11C3, were RMSE = 2.829 C, NRMSE = 0.116, r2 = 0.153, and slope = 0.580. Comparisons between the remote sensing products and validation against the ground data were performed on a monthly basis. GLEAM and CHIRPS daily were the data sets with considerable discrepancy.MDPI2022-12-19T17:45:11Z2022-12-19T17:45:11Z2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfPACA, Victor Hugo da Motta; ESPINOSA-DÁVALOS, G.E.; SILVA, R.; TAPAJÓS, R.; GASPAR, A.B.S. Remote sensing products validated by flux tower data in Amazon rain forest. Remote sensing, Basel, Switzerland, v. 14, 1259, 2022. DOI: https://doi.org/10.3390/ rs14051259.1104-3792https://rigeo.sgb.gov.br/handle/doc/23297ark:/79692/0013000000gswengPACA, Victor Hugo da MottaESPINOSA-DÁVALOS, Gonzalo E.SILVA, Rodrigo daTAPAJÓS, RaphaelGASPAR, Avner Brasileiro dos Santosinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional de Geociências - RIGEOinstname:Companhia de Pesquisa de Recursos Minerais (CPRM)instacron:CPRM2025-04-15T19:03:14Zoai:rigeo.sgb.gov.br:doc/23297Repositório InstitucionalONGhttps://rigeo.sgb.gov.br/oai/requestrigeo@sgb.gov.bropendoar:43362025-04-15T19:03:14Repositório Institucional de Geociências - RIGEO - Companhia de Pesquisa de Recursos Minerais (CPRM)false |
dc.title.none.fl_str_mv |
Remote sensing products validated by flux tower data in Amazon rain forest |
title |
Remote sensing products validated by flux tower data in Amazon rain forest |
spellingShingle |
Remote sensing products validated by flux tower data in Amazon rain forest PACA, Victor Hugo da Motta Sensoriamento remoto Variáveis hidro-meteorológicas Medição climática Amazônia Remote sensing products Hydro-meteorological variables Climate measurements Amazon |
title_short |
Remote sensing products validated by flux tower data in Amazon rain forest |
title_full |
Remote sensing products validated by flux tower data in Amazon rain forest |
title_fullStr |
Remote sensing products validated by flux tower data in Amazon rain forest |
title_full_unstemmed |
Remote sensing products validated by flux tower data in Amazon rain forest |
title_sort |
Remote sensing products validated by flux tower data in Amazon rain forest |
author |
PACA, Victor Hugo da Motta |
author_facet |
PACA, Victor Hugo da Motta ESPINOSA-DÁVALOS, Gonzalo E. SILVA, Rodrigo da TAPAJÓS, Raphael GASPAR, Avner Brasileiro dos Santos |
author_role |
author |
author2 |
ESPINOSA-DÁVALOS, Gonzalo E. SILVA, Rodrigo da TAPAJÓS, Raphael GASPAR, Avner Brasileiro dos Santos |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
PACA, Victor Hugo da Motta ESPINOSA-DÁVALOS, Gonzalo E. SILVA, Rodrigo da TAPAJÓS, Raphael GASPAR, Avner Brasileiro dos Santos |
dc.subject.por.fl_str_mv |
Sensoriamento remoto Variáveis hidro-meteorológicas Medição climática Amazônia Remote sensing products Hydro-meteorological variables Climate measurements Amazon |
topic |
Sensoriamento remoto Variáveis hidro-meteorológicas Medição climática Amazônia Remote sensing products Hydro-meteorological variables Climate measurements Amazon |
description |
This work compares methods of climate measurements, such as those used to measure evapotranspiration, precipitation, net radiation, and temperature. The satellite products used were compared and evaluated against flux tower data. Evapotranspiration was validated against the SSEBop monthly and GLEAM daily and monthly products, respectively, and the results were RMSE = 24.144 mm/month, NRMSE = 0.223, r2 = 0.163, slope = 0.411; RMSE = 1.781 mm/day, NRMSE = 0.599, r2 = 0.000, slope = 0.006; RMSE = 36.17 mm/month, NRMSE = 0.401, r2 = 0.002, and slope = 0.026. Precipitation was compared with the CHIRPS data, K67 was not part of the CHIRPS station correction. The results for both the daily and monthly comparisons were RMSE = 18.777 mm/day, NRMSE = 1.027, r2 = 0.086, slope = 0.238 and RMSE = 130.713 mm/month, NRMSE = 0.706, r2 = 0.402, and slope = 0.818. The net radiation validated monthly with CERES was RMSE = 75.357 W/m2, NRMSE = 0.383, r2 = 0.422, and slope = 0.867. The temperature results, as compared to MOD11C3, were RMSE = 2.829 C, NRMSE = 0.116, r2 = 0.153, and slope = 0.580. Comparisons between the remote sensing products and validation against the ground data were performed on a monthly basis. GLEAM and CHIRPS daily were the data sets with considerable discrepancy. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-19T17:45:11Z 2022-12-19T17:45:11Z 2022 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
PACA, Victor Hugo da Motta; ESPINOSA-DÁVALOS, G.E.; SILVA, R.; TAPAJÓS, R.; GASPAR, A.B.S. Remote sensing products validated by flux tower data in Amazon rain forest. Remote sensing, Basel, Switzerland, v. 14, 1259, 2022. DOI: https://doi.org/10.3390/ rs14051259. 1104-3792 https://rigeo.sgb.gov.br/handle/doc/23297 |
dc.identifier.dark.fl_str_mv |
ark:/79692/0013000000gsw |
identifier_str_mv |
PACA, Victor Hugo da Motta; ESPINOSA-DÁVALOS, G.E.; SILVA, R.; TAPAJÓS, R.; GASPAR, A.B.S. Remote sensing products validated by flux tower data in Amazon rain forest. Remote sensing, Basel, Switzerland, v. 14, 1259, 2022. DOI: https://doi.org/10.3390/ rs14051259. 1104-3792 ark:/79692/0013000000gsw |
url |
https://rigeo.sgb.gov.br/handle/doc/23297 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional de Geociências - RIGEO instname:Companhia de Pesquisa de Recursos Minerais (CPRM) instacron:CPRM |
instname_str |
Companhia de Pesquisa de Recursos Minerais (CPRM) |
instacron_str |
CPRM |
institution |
CPRM |
reponame_str |
Repositório Institucional de Geociências - RIGEO |
collection |
Repositório Institucional de Geociências - RIGEO |
repository.name.fl_str_mv |
Repositório Institucional de Geociências - RIGEO - Companhia de Pesquisa de Recursos Minerais (CPRM) |
repository.mail.fl_str_mv |
rigeo@sgb.gov.br |
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1838999352773705728 |