{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T15:25:09Z","timestamp":1770650709294,"version":"3.49.0"},"reference-count":60,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2022,3,4]],"date-time":"2022-03-04T00:00:00Z","timestamp":1646352000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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 \u00b0C, 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.<\/jats:p>","DOI":"10.3390\/rs14051259","type":"journal-article","created":{"date-parts":[[2022,3,6]],"date-time":"2022-03-06T20:40:02Z","timestamp":1646599202000},"page":"1259","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Remote Sensing Products Validated by Flux Tower Data in Amazon Rain Forest"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9625-0674","authenticated-orcid":false,"given":"Victor Hugo da Motta","family":"Paca","sequence":"first","affiliation":[{"name":"Geological Survey of Brazil (CPRM), Bel\u00e9m 66095-904, PA, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8137-7525","authenticated-orcid":false,"given":"Gonzalo E.","family":"Espinoza-D\u00e1valos","sequence":"additional","affiliation":[{"name":"Environmental Systems Research Institute (ESRI), Redlands, CA 92373, USA"}]},{"given":"Rodrigo","family":"da Silva","sequence":"additional","affiliation":[{"name":"Faculdade de Geoci\u00eancias, Universidade Federal do Oeste do Par\u00e1 (UFOPA), Santar\u00e9m 68040-470, PA, Brazil"}]},{"given":"Raphael","family":"Tapaj\u00f3s","sequence":"additional","affiliation":[{"name":"Faculdade de Geoci\u00eancias, Universidade Federal do Oeste do Par\u00e1 (UFOPA), Santar\u00e9m 68040-470, PA, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6012-852X","authenticated-orcid":false,"given":"Avner Brasileiro","family":"dos Santos Gaspar","sequence":"additional","affiliation":[{"name":"Faculdade de Geoci\u00eancias, Universidade Federal do Oeste do Par\u00e1 (UFOPA), Santar\u00e9m 68040-470, PA, Brazil"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2171","DOI":"10.1002\/hyp.9740","article-title":"Global river hydrography and network routing: Baseline data and new approaches to study the world\u2019s large river systems","volume":"2186","author":"Lehner","year":"2013","journal-title":"Hydrol. Process."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.cosust.2009.07.003","article-title":"\u201cTipping points\u201d for the Amazon forest","volume":"1","author":"Nobre","year":"2009","journal-title":"Curr. Opin. Environ. Sustain."},{"key":"ref_3","unstructured":"Gash, J.H.C., Nobre, C.A., and Roberts, J.M. (1996). Amazonian Deforestation and Climate, John Wiley and Sons Ltd."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1038\/s41558-019-0500-2","article-title":"Amazonian tree species threatened by deforestation and climate change","volume":"9","author":"Gomes","year":"2019","journal-title":"Nat. Clim. Chang."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"14189","DOI":"10.1029\/1998JD200126","article-title":"Trends in the hydrologic cycle of the Amazon basin","volume":"104","author":"Costa","year":"1999","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1007\/s00382-004-0461-6","article-title":"Characteristics and spatio-temporal variability of the Amazon river basin water budget","volume":"24","author":"Marengo","year":"2005","journal-title":"Clim. Dyn."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2586","DOI":"10.1175\/JHM-D-14-0068.1","article-title":"Water Balance in the Amazon Basin from a Land Surface Model Ensemble","volume":"15","author":"Getirana","year":"2014","journal-title":"J. Hydrometeorol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1029\/97GL03502","article-title":"A comparison of precipitation datasets for the Amazon basin","volume":"25","author":"Costa","year":"1998","journal-title":"Geophys. Res. Lett."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"3171","DOI":"10.1002\/joc.6009","article-title":"Assessing precipitation concentration in the Amazon basin from different satellite-based data sets","volume":"39","author":"Zubieta","year":"2019","journal-title":"Int. J. Climatol."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Keller, M., and Bustamante, M. (2009). Evapotranspiration. Amazonia and Global Change, American Geophysical Union.","DOI":"10.1029\/GM186"},{"key":"ref_11","first-page":"1","article-title":"The Amazon River Basin","volume":"481","author":"Tobergte","year":"2017","journal-title":"Water Resour. Res."},{"key":"ref_12","unstructured":"Maidment, D.R., and Mays, L.W. (1968). Applied Hydrology, McGraw-Hill."},{"key":"ref_13","unstructured":"WMO (2008). Guide to Meterological Instruments and Methods of Observation, WMO."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0034-4257(99)00053-X","article-title":"Validating MODIS Terrestrial Ecology Products: Linking In Situ and Satellite Measurements","volume":"3","author":"Cohen","year":"1999","journal-title":"Remote Sens. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.agrformet.2010.09.002","article-title":"Agricultural and Forest Meteorology Assessing net ecosystem carbon exchange of US terrestrial ecosystems by integrating eddy covariance flux measurements and satellite observations","volume":"151","author":"Xiao","year":"2011","journal-title":"Agric. For. Meteorol."},{"key":"ref_16","first-page":"20","article-title":"Preface to special issue on the Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA)","volume":"107","author":"Avissar","year":"2002","journal-title":"J. Geophys. Res. D Atmos."},{"key":"ref_17","first-page":"1","article-title":"Pan Evaporation, Potential and Actual Evapotranspiration","volume":"18","author":"Yan","year":"2017","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/0022-1694(79)90130-6","article-title":"A sensitivity analysis of the penman\u2014Monteith actual evapotranspiration estimates","volume":"44","author":"Beven","year":"1979","journal-title":"J. Hydrol."},{"key":"ref_19","first-page":"128","article-title":"What drives the seasonality of photosynthesis across the Amazon basin? A cross-site analysis of eddy flux tower measurements from the Brasil flux network","volume":"182\u2013183","author":"Hutyra","year":"2013","journal-title":"Agric. For. Meteorol."},{"key":"ref_20","unstructured":"(2022, February 01). Flux Tower K67, Available online: https:\/\/ameriflux.lbl.gov\/sites\/siteinfo\/BR-Sa1."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1111\/j.1365-2486.1996.tb00069.x","article-title":"Strategies for measuring and modelling carbon dioxide and water vapour fluxes over terrestrial ecosystems","volume":"2","author":"Baldocchi","year":"1996","journal-title":"Glob. Chang. Biol."},{"key":"ref_22","first-page":"1123","article-title":"Evapotranspiration on western U.S. rivers estimated using the Enhanced Vegetation Index from MODIS and data from eddy covariance and Bowen ratio flux towers","volume":"8","author":"Nagler","year":"2005","journal-title":"J. Hydrol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13717-019-0158-8","article-title":"The spatial variability of actual evapotranspiration across the Amazon River Basin based on remote sensing products validated with flux towers","volume":"8","author":"Paca","year":"2019","journal-title":"Ecol. Process."},{"key":"ref_24","unstructured":"Medeiros, M.J. (2022, February 01). Atlas Irriga\u00e7\u00e3o. \u201cPolos Nacionais de Agricultura Irrigada: Mapeamento de \u00c1reas Irrigadas com Imagens de Sat\u00e9lite\u201d, Brasilia, Brazil. Available online: https:\/\/cdn.agenciapeixevivo.org.br\/media\/2020\/03\/polos-nacionais-irriga%C3%A7%C3%A3o.pdf."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1111\/jawr.12057","article-title":"Operational Evapotranspiration Mapping Using Remote Sensing and Weather Datasets: A New Parameterization for the SSEB Approach","volume":"49","author":"Senay","year":"2013","journal-title":"J. Am. Water Resour. Assoc."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1093\/oxfordjournals.aob.a083148","article-title":"Comparative Physiological Studies on the Growth of Field Crops","volume":"XI","author":"Watson","year":"1947","journal-title":"Ann. Bot."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1111\/j.1365-3040.1992.tb00992.x","article-title":"Defining leaf area index for non-flat leaves","volume":"15","author":"Chen","year":"1991","journal-title":"Plant Cell Environ."},{"key":"ref_28","unstructured":"Allen, R.G., Pereira, L.S., Raes, D., and Smith, M. (1998). Crop Evapotranspiration\u2014Guidelines for Computing Crop Water Requirements\u2014FAO Irrigation and Drainage Paper 56, FAO."},{"key":"ref_29","first-page":"G03008","article-title":"Seasonal controls on the exchange of carbon and water in an Amazonian rain forest","volume":"112","author":"Hutyra","year":"2007","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"747","DOI":"10.1139\/x26-084","article-title":"Landscape-scale evaluation of understory light and canopy structure: Methods for application in a neotropical lowland rain forest","volume":"26","author":"Clark","year":"1996","journal-title":"Can. J. For. Res."},{"key":"ref_31","unstructured":"Oliveira J\u00fanior, R.C., and Correa, J.R.V. (2001). Aptid\u00e3o Agr\u00edcola dos Solos do Munic\u00edpio de Belterra, Estado do Par\u00e1, Embrapa."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/S0168-1923(00)00123-4","article-title":"Correcting eddy-covariance flux underestimates over a grassland","volume":"103","author":"Twine","year":"2000","journal-title":"Agric. For. Meteorol."},{"key":"ref_33","unstructured":"Saleska, S. (2022, February 01). FLUXNET2015 BR-Sa1 Santarem-Km67-Primary Forest. Available online: https:\/\/doi.org\/10.18140\/FLX\/1440032."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1191","DOI":"10.1111\/gcb.14559","article-title":"The physics and ecology of mining carbon dioxide from the atmosphere by ecosystems","volume":"25","author":"Baldocchi","year":"2019","journal-title":"Glob. Chang. Biol."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1111\/gcb.14807","article-title":"How eddy covariance flux measurements have contributed to our understanding of Global Change Biology","volume":"26","author":"Baldocchi","year":"2020","journal-title":"Glob. Chang. Biol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1098\/rsta.1895.0004","article-title":"IV. On the dynamical theory of incompressible viscous fluids and the determination of the criterion","volume":"186","author":"Reynolds","year":"1895","journal-title":"Philos. Trans. R. Soc. Lond."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"150066","DOI":"10.1038\/sdata.2015.66","article-title":"The climate hazards infrared precipitation with stations - A new environmental record for monitoring extremes","volume":"2","author":"Funk","year":"2015","journal-title":"Sci. Data"},{"key":"ref_38","first-page":"323","article-title":"Intercomparison of improved satellite rainfall estimation with CHIRPS gridded product and rain gauge data over Venezuela","volume":"29","author":"Barbosa","year":"2016","journal-title":"Atmosfera"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.jaridenv.2016.12.009","article-title":"Validating CHIRPS-based satellite precipitation estimates in Northeast Brazil","volume":"139","author":"Barbosa","year":"2017","journal-title":"J. Arid Environ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1758","DOI":"10.3390\/rs70201758","article-title":"Evaluation of satellite rainfall estimates for drought and flood monitoring in Mozambique","volume":"7","author":"Patricio","year":"2015","journal-title":"Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Bai, L., Shi, C., Li, L., Yang, Y., and Wu, J. (2018). Accuracy of CHIRPS satellite-rainfall products over mainland China. Remote Sens., 10.","DOI":"10.3390\/rs10030362"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Le, A.M., and Pricope, N.G. (2017). Increasing the Accuracy of Runoff and Streamflow Simulation in the Nzoia Basin, Western Kenya, through the Incorporation of Satellite-Derived CHIRPS Data. Water, 9.","DOI":"10.3390\/w9020114"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1007\/s11769-019-1014-6","article-title":"Hydrological simulation using TRMM and CHIRPS precipitation estimates in the lower Lancang-Mekong River basin","volume":"29","author":"Luo","year":"2019","journal-title":"Chin. Geogr. Sci."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"935","DOI":"10.1002\/joc.1441","article-title":"Use of the gamma distribution to represent monthly rainfall in Africa for drought monitoring applications","volume":"27","author":"Husak","year":"2007","journal-title":"Int. J. Climatol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1171","DOI":"10.1016\/j.rse.2011.01.001","article-title":"Reprocessing the MODIS Leaf Area Index products for land surface and climate modelling","volume":"115","author":"Yuan","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Jia, A., Jiang, B., Liang, S., Zhang, X., and Ma, H. (2016). Validation and Spatiotemporal Analysis of CERES Surface Net Radiation Product. Remote Sens., 8.","DOI":"10.3390\/rs8020090"},{"key":"ref_47","first-page":"164","article-title":"Validation of the CERES Edition 2B Surface-Only Flux Algorithms","volume":"49","author":"Directorate","year":"2009","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1175\/JHM587.1","article-title":"What Controls Evapotranspiration in the Amazon Basin?","volume":"8","author":"Hasler","year":"2007","journal-title":"J. Hydrometeorol."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"De Oliveira, G., Brunsell, N.A., Moraes, E.C., Bertani, G., dos Santos, T.V., Shimabukuro, Y.E., and Arag\u00e3o, L.E.O.C. (2016). Use of MODIS sensor images combined with reanalysis products to retrieve net radiation in Amazonia. Sensors, 16.","DOI":"10.3390\/s16070956"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1007\/s10546-018-0395-x","article-title":"Biases in Model-Simulated Surface Energy Fluxes During the Indian Monsoon Onset Period","volume":"170","author":"Chakraborty","year":"2019","journal-title":"Bound.-Layer Meteorol."},{"key":"ref_51","unstructured":"Machado, W.B., and Fluxo De Energia, E. (2022, February 01). Evapotranspira\u00e7\u00e3o Regional Na \u00c1rea De Influ\u00eancia Da Br-163, Oeste Do Par\u00e1, Universidade Federal do Oeste do Par\u00e1. Available online: https:\/\/repositorio.ufopa.edu.br\/jspui\/handle\/123456789\/91."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1007\/s00704-011-0465-1","article-title":"Extreme climatic events in the Amazon basin","volume":"107","author":"Marengo","year":"2012","journal-title":"Theor. Appl. Climatol."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Wu, J., Lakshmi, V., Wang, D., Lin, P., Pan, M., Cai, X., Wood, E.F., and Zeng, Z. (2020). The Reliability of Global Remote Sensing Evapotranspiration Products over Amazon. Remote Sens., 12.","DOI":"10.3390\/rs12142211"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1402","DOI":"10.1029\/2018GL080907","article-title":"Estimation of Evapotranspiration of Amazon Rainforest Using the Maximum Entropy Production Method","volume":"46","author":"Xu","year":"2019","journal-title":"Geophys. Res. Lett."},{"key":"ref_55","first-page":"5","article-title":"Comparative measurements and seasonal variations in energy and carbon exchange over forest and pasture in South West Amazonia","volume":"78","author":"Manzi","year":"2004","journal-title":"Theor. Appl. Climatol."},{"key":"ref_56","first-page":"435","article-title":"Net radiation estimation under pasture and forest in Rond\u00f4nia, Brazil, with TM Landsat 5 images","volume":"24","author":"Rao","year":"2011","journal-title":"Atm\u00f3sfera"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1590\/S0102-77862009000200007","article-title":"Estado-Da-Arte Da Simula\u00e7\u00e3o Da Taxa De Fixa\u00e7\u00e3o De Carbono","volume":"24","author":"Costa","year":"2009","journal-title":"Rev. Bras. Meteorol."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Da Paca, V.H.M., Espinoza-D\u00e1valos, G.E., Moreira, D.M., and Comair, G. (2020). Variability of Trends in Precipitation across the Amazon River Basin Determined from the CHIRPS Precipitation Product and from Station Records. Water, 12.","DOI":"10.3390\/w12051244"},{"key":"ref_59","first-page":"111","article-title":"River breeze circulation in eastern Amazonia: Observations and modelling results","volume":"78","author":"Longo","year":"2004","journal-title":"Theor. Appl. Climatol."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"G00B11","DOI":"10.1029\/2007JG000596","article-title":"Spatial and temporal rainfall variability near the Amazon-Tapaj\u00f3s confluence","volume":"113","author":"Fitzjarrald","year":"2008","journal-title":"J. Geophys. Res. Biogeosci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/5\/1259\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:32:13Z","timestamp":1760135533000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/5\/1259"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,4]]},"references-count":60,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2022,3]]}},"alternative-id":["rs14051259"],"URL":"https:\/\/doi.org\/10.3390\/rs14051259","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,4]]}}}