Remote sensing products validated by flux tower data in Amazon rain forest

Detalhes bibliográficos
Autor(a) principal: PACA, Victor Hugo da Motta
Data de Publicação: 2022
Outros Autores: ESPINOSA-DÁVALOS, Gonzalo E., SILVA, Rodrigo da, TAPAJÓS, Raphael, GASPAR, Avner Brasileiro dos Santos
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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spelling 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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