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

dc.contributor.authorPACA, Victor Hugo da Motta
dc.contributor.authorESPINOSA-DÁVALOS, Gonzalo E.
dc.contributor.authorSILVA, Rodrigo da
dc.contributor.authorTAPAJÓS, Raphael
dc.contributor.authorGASPAR, Avner Brasileiro dos Santos
dc.creator.affilliationEnvironmental Systems Research Institute (ESRI)pt_BR
dc.creator.affilliationUniversidade Federal do Oesto do Pará (UFOPA)pt_BR
dc.date.accessioned2022-12-19T17:45:11Z
dc.date.available2022-12-19T17:45:11Z
dc.date.issued2022
dc.description.abstractThis 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.pt_BR
dc.identifier.citationPACA, 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.pt_BR
dc.identifier.issn1104-3792
dc.identifier.urihttps://rigeo.sgb.gov.br/handle/doc/23297
dc.language.isoeng
dc.localBasel
dc.publisherMDPIpt_BR
dc.rightsopenpt_BR
dc.subjectSensoriamento remotopt_BR
dc.subjectVariáveis hidro-meteorológicaspt_BR
dc.subjectMedição climáticapt_BR
dc.subjectAmazôniapt_BR
dc.subject.enRemote sensing productspt_BR
dc.subject.enHydro-meteorological variablespt_BR
dc.subject.enClimate measurementspt_BR
dc.subject.enAmazonpt_BR
dc.titleRemote sensing products validated by flux tower data in Amazon rain forestpt_BR
dc.typeArticlept_BR

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