{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T12:46:15Z","timestamp":1770813975073,"version":"3.50.1"},"reference-count":63,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2017,1,7]],"date-time":"2017-01-07T00:00:00Z","timestamp":1483747200000},"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>Mapping and monitoring of forest carbon stocks across large areas in the tropics will necessarily rely on remote sensing approaches, which in turn depend on field estimates of biomass for calibration and validation purposes. Here, we used field plot data collected in a tropical moist forest in the central Amazon to gain a better understanding of the uncertainty associated with plot-level biomass estimates obtained specifically for the calibration of remote sensing measurements. In addition to accounting for sources of error that would be normally expected in conventional biomass estimates (e.g., measurement and allometric errors), we examined two sources of uncertainty that are specific to the calibration process and should be taken into account in most remote sensing studies: the error resulting from spatial disagreement between field and remote sensing measurements (i.e., co-location error), and the error introduced when accounting for temporal differences in data acquisition. We found that the overall uncertainty in the field biomass was typically 25% for both secondary and primary forests, but ranged from 16 to 53%. Co-location and temporal errors accounted for a large fraction of the total variance (&gt;65%) and were identified as important targets for reducing uncertainty in studies relating tropical forest biomass to remotely sensed data. Although measurement and allometric errors were relatively unimportant when considered alone, combined they accounted for roughly 30% of the total variance on average and should not be ignored. Our results suggest that a thorough understanding of the sources of error associated with field-measured plot-level biomass estimates in tropical forests is critical to determine confidence in remote sensing estimates of carbon stocks and fluxes, and to develop strategies for reducing the overall uncertainty of remote sensing approaches.<\/jats:p>","DOI":"10.3390\/rs9010047","type":"journal-article","created":{"date-parts":[[2017,1,9]],"date-time":"2017-01-09T11:03:23Z","timestamp":1483959803000},"page":"47","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Estimating Aboveground Biomass in Tropical Forests: Field Methods and Error Analysis for the Calibration of Remote Sensing Observations"],"prefix":"10.3390","volume":"9","author":[{"given":"Fabio","family":"Gon\u00e7alves","sequence":"first","affiliation":[{"name":"Canopy Remote Sensing Solutions, Florian\u00f3polis, SC 88032, Brazil"}]},{"given":"Robert","family":"Treuhaft","sequence":"additional","affiliation":[{"name":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1605-1203","authenticated-orcid":false,"given":"Beverly","family":"Law","sequence":"additional","affiliation":[{"name":"Department of Forest Ecosystems &amp; Society, Oregon State University, Corvallis, OR 97331, USA"}]},{"given":"Andr\u00e9","family":"Almeida","sequence":"additional","affiliation":[{"name":"Departamento de Engenharia Agr\u00edcola, Universidade Federal de Sergipe, SE 49100, Brazil"}]},{"given":"Wayne","family":"Walker","sequence":"additional","affiliation":[{"name":"Woods Hole Research Center, Falmouth, MA 02540, USA"}]},{"given":"Alessandro","family":"Baccini","sequence":"additional","affiliation":[{"name":"Woods Hole Research Center, Falmouth, MA 02540, USA"}]},{"given":"Jo\u00e3o","family":"Dos Santos","sequence":"additional","affiliation":[{"name":"National Institute for Space Research (INPE), S\u00e3o Jos\u00e9 dos Campos, SP 12227, Brazil"}]},{"given":"Paulo","family":"Gra\u00e7a","sequence":"additional","affiliation":[{"name":"Department of Environmental Dynamics, National Institute for Research in Amazonia (INPA), Manaus, AM 69067, Brazil"}]}],"member":"1968","published-online":{"date-parts":[[2017,1,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1641\/0006-3568(2002)052[0019:LRSFES]2.0.CO;2","article-title":"Lidar remote sensing for ecosystem studies","volume":"52","author":"Lefsky","year":"2002","journal-title":"Bioscience"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1641\/0006-3568(2004)054[0561:FAFRIS]2.0.CO;2","article-title":"Forest attributes from radar interferometric structure and its fusion with optical remote sensing","volume":"54","author":"Treuhaft","year":"2004","journal-title":"Bioscience"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/j.rse.2012.10.017","article-title":"A meta-analysis of terrestrial aboveground biomass estimation using Lidar remote sensing","volume":"128","author":"Zolkos","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"16738","DOI":"10.1073\/pnas.1004875107","article-title":"High-resolution forest carbon stocks and emissions in the Amazon","volume":"107","author":"Asner","year":"2010","journal-title":"Proc. Natl. Acad. Sci. USA."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1038\/nclimate1354","article-title":"Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps","volume":"2","author":"Baccini","year":"2012","journal-title":"Nat. Clim. Chang."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"9899","DOI":"10.1073\/pnas.1019576108","article-title":"Benchmark map of forest carbon stocks in tropical regions across three continents","volume":"108","author":"Saatchi","year":"2011","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1111\/j.1365-2486.2005.00955.x","article-title":"Aboveground forest biomass and the global carbon balance","volume":"11","author":"Houghton","year":"2005","journal-title":"Glob. Chang. Biol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"731","DOI":"10.1111\/j.1365-2486.2001.00426.x","article-title":"The spatial distribution of forest biomass in the Brazilian Amazon: A comparison of estimates","volume":"7","author":"Houghton","year":"2001","journal-title":"Glob. Chang. Biol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.1111\/j.1365-2486.2006.01120.x","article-title":"The regional variation of aboveground live biomass in old-growth Amazonian forests","volume":"12","author":"Malhi","year":"2006","journal-title":"Glob. Chang. Biol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"34009","DOI":"10.1088\/1748-9326\/4\/3\/034009","article-title":"Tropical forest carbon assessment: Integrating satellite and airborne mapping approaches","volume":"4","author":"Asner","year":"2009","journal-title":"Environ. Res. Lett."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Houghton, R.A., Hall, F., and Goetz, S.J. (2009). Importance of biomass in the global carbon cycle. J. Geophys. Res., 114.","DOI":"10.1029\/2009JG000935"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"231","DOI":"10.4155\/cmt.11.18","article-title":"Advances in remote sensing technology and implications for measuring and monitoring forest carbon stocks and change","volume":"2","author":"Goetz","year":"2011","journal-title":"Carbon Manag."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2753","DOI":"10.1016\/j.rse.2011.01.024","article-title":"Characterizing 3D vegetation structure from space: Mission requirements","volume":"115","author":"Hall","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_14","unstructured":"Brown, S. (1997). Estimating Biomass and Biomass Change of Tropical Forests: A Primer, Food and Agriculture Organization of the United Nations (FAO)."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1007\/s00442-005-0100-x","article-title":"Tree allometry and improved estimation of carbon stocks and balance in tropical forests","volume":"145","author":"Chave","year":"2005","journal-title":"Oecologia"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"3177","DOI":"10.1111\/gcb.12629","article-title":"Improved allometric models to estimate the aboveground biomass of tropical trees","volume":"20","author":"Chave","year":"2014","journal-title":"Glob. Chang. Biol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"614","DOI":"10.1016\/j.rse.2013.09.023","article-title":"Mapping tropical forest carbon: Calibrating plot estimates to a simple Lidar metric","volume":"140","author":"Asner","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1046\/j.1466-822X.2003.00010.x","article-title":"Above-ground biomass estimation in closed canopy neotropical forests using Lidar remote sensing: Factors affecting the generality of relationships","volume":"12","author":"Drake","year":"2003","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_19","unstructured":"Gon\u00e7alves, F.G. (2014). Vertical Structure and Aboveground Biomass of Tropical Forests from Lidar Remote Sensing. [Ph.D. Thesis, Oregon State University]."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Treuhaft, R.N., Gon\u00e7alves, F.G., Drake, J.B., Chapman, B.D., dos Santos, J.R., Dutra, L.V., Gra\u00e7a, P.M.L.A., and Purcell, G.H. (2010). Biomass estimation in a tropical wet forest using Fourier transforms of profiles from Lidar or interferometric SAR. Geophys. Res. Lett., 37.","DOI":"10.1029\/2010GL045608"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1109\/LGRS.2014.2334140","article-title":"Tropical-forest biomass estimation at X-band from the spaceborne TanDEM-X interferometer","volume":"12","author":"Treuhaft","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1191","DOI":"10.1111\/j.1654-1103.2012.01471.x","article-title":"Tropical forest biomass estimation and the fallacy of misplaced concreteness","volume":"23","author":"Clark","year":"2012","journal-title":"J. Veg. Sci."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/S0378-1127(98)00470-8","article-title":"Comparison of formulae for biomass content determination in a tropical rain forest site in the state of Par\u00e1, Brazil","volume":"117","author":"Higuchi","year":"1999","journal-title":"For. Ecol. Manag."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1098\/rstb.2003.1425","article-title":"Error propagation and scaling for tropical forest biomass estimates","volume":"359","author":"Chave","year":"2004","journal-title":"Philos. Trans. R. Soc. Lond. B Biol. Sci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"3007","DOI":"10.3390\/rs5063007","article-title":"Uncertainty of forest biomass estimates in north temperate forests due to allometry: Implications for remote sensing","volume":"5","author":"Ahmed","year":"2013","journal-title":"Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Chen, Q., Laurin, G.V., and Valentini, R. (2015). Uncertainty of remotely sensed aboveground biomass over an African tropical forest: Propagating errors from trees to plots to pixels. Remote Sens. Environ., 134\u2013143.","DOI":"10.1016\/j.rse.2015.01.009"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1170","DOI":"10.1890\/12-0922.1","article-title":"Harvesting tree biomass at the stand level to assess the accuracy of field and airborne biomass estimation in savannas","volume":"23","author":"Colgan","year":"2013","journal-title":"Ecol. Appl."},{"key":"ref_28","unstructured":"Bruflodt, D. (1969). Data Reduction and Error Analysis for the Physical Sciences, McGraw-Hill."},{"key":"ref_29","unstructured":"Ramsey, F., and Schafer, D. (2002). The Statistical Sleuth: A Course in Methods of Data Analysis, Duxbury\/Thomson Learning. [2nd ed.]."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1016\/j.rse.2016.07.023","article-title":"Forest aboveground biomass mapping and estimation across multiple spatial scales using model-based inference","volume":"184","author":"Chen","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/0378-1127(94)03512-U","article-title":"Uncertainty in the biomass of Amazonian forests: An example from Rond\u00f4nia, Brazil","volume":"75","author":"Brown","year":"1995","journal-title":"For. Ecol. Manag."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1046\/j.1365-2699.2000.00197.x","article-title":"Toward error analysis of large-scale forest carbon budgets","volume":"9","author":"Phillips","year":"2000","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1016\/S0378-1127(01)00509-6","article-title":"Biomass estimation in the Tapajos National Forest, Brazil examination of sampling and allometric uncertainties","volume":"154","author":"Keller","year":"2001","journal-title":"For. Ecol. Manag."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1111\/j.2041-210x.2012.00266.x","article-title":"Error propagation in biomass estimation in tropical forests","volume":"4","author":"Molto","year":"2013","journal-title":"Methods Ecol. Evol."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"468","DOI":"10.1007\/s00442-004-1598-z","article-title":"Forest structure and carbon dynamics in Amazonian tropical rain forests","volume":"140","author":"Vieira","year":"2004","journal-title":"Oecologia"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1007\/s100210000019","article-title":"Effects of soil texture on belowground carbon and nutrient storage in a lowland Amazonian forest ecosystem","volume":"3","author":"Silver","year":"2000","journal-title":"Ecosystems"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1590\/S0044-59672008000200006","article-title":"Composi\u00e7\u00e3o flor\u00edstica e estrutura de uma unidade de manejo florestal sustent\u00e1vel na Floresta Nacional do Tapaj\u00f3s, Par\u00e1","volume":"38","author":"Santos","year":"2008","journal-title":"Acta Amaz."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Reyes, G., Brown, S., Chapman, J., and Lugo, A. (1992). Wood Densities of Tropical Tree Species.","DOI":"10.2737\/SO-GTR-088"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"2356","DOI":"10.1890\/1051-0761(2006)016[2356:RAPVOW]2.0.CO;2","article-title":"Regional and phylogenetic variation of wood density across 2456 neotropical tree species","volume":"16","author":"Chave","year":"2006","journal-title":"Ecol. Appl."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1111\/2041-210X.12071","article-title":"Measuring tree height: a quantitative comparison of two common field methods in a moist tropical forest","volume":"4","author":"Larjavaara","year":"2013","journal-title":"Methods Ecol. Evol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/S0378-1127(98)00475-7","article-title":"Allometric regressions for improved estimate of secondary forest biomass in the Central Amazon","volume":"177","author":"Nelson","year":"1999","journal-title":"For. Ecol. Manag."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/S0378-1127(00)00591-0","article-title":"Tree damage, allometric relationships, and above-ground net primary production in central Amazon forest","volume":"152","author":"Chambers","year":"2001","journal-title":"For. Ecol. Manag."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Van Laar, A., and Ak\u00e7a, A. (2007). Forest Mensuration, Springer.","DOI":"10.1007\/978-1-4020-5991-9"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1016\/j.foreco.2005.05.039","article-title":"A growth model for secondary forest in Central Amazonia","volume":"216","author":"Neeff","year":"2005","journal-title":"For. Ecol. Manag."},{"key":"ref_45","first-page":"881","article-title":"Biomass estimation methods for tropical forests with applications to forest inventory data","volume":"35","author":"Brown","year":"1989","journal-title":"For. Sci."},{"key":"ref_46","unstructured":"Anderson, A.B. (1983). The Biology of Orbignya Martiana (Palmae), A Tropical Dry Forest Dominant in Brazil, UMI Dissertation Information Service, University Microfilms International."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"938","DOI":"10.2307\/2260625","article-title":"Long-term chronosequence of forest succession in the upper Rio Negro of Colombia and Venezuela","volume":"76","author":"Saldarriaga","year":"1988","journal-title":"J. Ecol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1139\/x72-009","article-title":"Use of logarithmic regression in the estimation of plant biomass","volume":"2","author":"Baskerville","year":"1972","journal-title":"Can. J. For. Res."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1007\/s10021-008-9221-5","article-title":"Environmental and biotic controls over aboveground biomass throughout a tropical rain forest","volume":"12","author":"Asner","year":"2009","journal-title":"Ecosystems"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1080\/02827581.2011.564204","article-title":"Uncertainties of mapping aboveground forest carbon due to plot locations using national forest inventory plot and remotely sensed data","volume":"26","author":"Wang","year":"2011","journal-title":"Scand. J. For. Res."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1016\/j.rse.2002.12.001","article-title":"Airborne P-band SAR applied to the aboveground biomass studies in the Brazilian tropical rainforest","volume":"87","author":"Santos","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1081","DOI":"10.5194\/bg-8-1081-2011","article-title":"Height-diameter allometry of tropical forest trees","volume":"8","author":"Feldpausch","year":"2011","journal-title":"Biogeosciences"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1766","DOI":"10.1139\/x94-228","article-title":"Variation in forest inventory field measurements","volume":"24","author":"McRoberts","year":"1994","journal-title":"Can. J. For. Res."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1023\/A:1014259902449","article-title":"Evaluation of metric precision for a riparian forest survey","volume":"75","author":"Barker","year":"2002","journal-title":"Environ. Monit. Assess."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1093\/wjaf\/20.2.134","article-title":"Observer variation in tree diameter measurements","volume":"20","author":"Elzinga","year":"2005","journal-title":"West. J. Appl. For."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1007\/s10661-008-0632-8","article-title":"Evaluation of data quality in Japanese national forest inventory","volume":"159","author":"Kitahara","year":"2009","journal-title":"Environ. Monit. Assess."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"8385","DOI":"10.5194\/bg-10-8385-2013","article-title":"Tree height and tropical forest biomass estimation","volume":"10","author":"Hunter","year":"2013","journal-title":"Biogeosciences"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"3770","DOI":"10.1016\/j.rse.2011.07.019","article-title":"Evaluating uncertainty in mapping forest carbon with airborne Lidar","volume":"115","author":"Mascaro","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"967","DOI":"10.1111\/j.1365-2486.2007.01344.x","article-title":"Secondary forest growth deviation from chronosequence predictions in central Amazonia","volume":"13","author":"Feldpausch","year":"2007","journal-title":"Glob. Chang. Biol."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1046\/j.1526-100x.2000.80054.x","article-title":"The potential for carbon sequestration through reforestation of abandoned tropical agricultural and pasture lands","volume":"8","author":"Silver","year":"2000","journal-title":"Restor. Ecol."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1890\/02-6006","article-title":"Carbon balance and vegetation dynamics in an old-growth Amazonian forest","volume":"14","author":"Rice","year":"2004","journal-title":"Ecol. Appl."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Pyle, E.H., Santoni, G.W., Nascimento, H.E.M., Hutyra, L.R., Vieira, S., Curran, D.J., van Haren, J., Saleska, S.R., Chow, V.Y., and Carmago, P.B. (2008). Dynamics of carbon, biomass, and structure in two Amazonian forests. J. Geophys. Res. Biogeosci., 113.","DOI":"10.1029\/2007JG000592"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Frolking, S., Palace, M.W., Clark, D.B., Chambers, J.Q., Shugart, H.H., and Hurtt, G.C. (2009). Forest disturbance and recovery: A general review in the context of spaceborne remote sensing of impacts on aboveground biomass and canopy structure. J. Geophys. Res. Biogeosci., 114.","DOI":"10.1029\/2008JG000911"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/1\/47\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:25:43Z","timestamp":1760207143000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/1\/47"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,1,7]]},"references-count":63,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2017,1]]}},"alternative-id":["rs9010047"],"URL":"https:\/\/doi.org\/10.3390\/rs9010047","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1,7]]}}}