{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T23:07:23Z","timestamp":1769728043616,"version":"3.49.0"},"reference-count":47,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2013,6,14]],"date-time":"2013-06-14T00:00:00Z","timestamp":1371168000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Estimates of above ground biomass density in forests are crucial for refining global climate models and understanding climate change. Although data from field studies can be aggregated to estimate carbon stocks on global scales, the sparsity of such field data, temporal heterogeneity and methodological variations introduce large errors. Remote sensing measurements from spaceborne sensors are a realistic alternative for global carbon accounting; however, the uncertainty of such measurements is not well known and remains an active area of research. This article describes an effort to collect field data at the Harvard and Howland Forest sites, set in the temperate forests of the Northeastern United States in an attempt to establish ground truth forest biomass for calibration of remote sensing measurements. We present an assessment of the quality of ground truth biomass estimates derived from three different sets of diameter-based allometric equations over the Harvard and Howland Forests to establish the contribution of errors in ground truth data to the error in biomass estimates from remote sensing measurements.<\/jats:p>","DOI":"10.3390\/rs5063007","type":"journal-article","created":{"date-parts":[[2013,6,14]],"date-time":"2013-06-14T11:47:47Z","timestamp":1371210467000},"page":"3007-3036","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Uncertainty of Forest Biomass Estimates in North Temperate Forests Due to Allometry: Implications for Remote Sensing"],"prefix":"10.3390","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2391-4537","authenticated-orcid":false,"given":"Razi","family":"Ahmed","sequence":"first","affiliation":[{"name":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA"}]},{"given":"Paul","family":"Siqueira","sequence":"additional","affiliation":[{"name":"Electrical & Computer Engineering, College of Engineering, University of Massachusetts, Amherst, MA 01002, USA"}]},{"given":"Scott","family":"Hensley","sequence":"additional","affiliation":[{"name":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA"}]},{"given":"Kathleen","family":"Bergen","sequence":"additional","affiliation":[{"name":"School of Natural Resources and Environment, University of Michigan, Ann Arbor, MI 48109, USA"}]}],"member":"1968","published-online":{"date-parts":[[2013,6,14]]},"reference":[{"key":"ref_1","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_2","doi-asserted-by":"crossref","first-page":"3567","DOI":"10.1080\/01431169408954345","article-title":"NDVI-derived land cover classifications at a global scale","volume":"15","author":"DeFries","year":"1994","journal-title":"Int. J. Remote Sens"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Frieswyk, T.S., and DiGiovanni, D.M. (1990). Biomass Statistics for Maryland 1986, USDA Forest Service Northeastern Forest Experiment Station. NE-113, Resource Bulletin;.","DOI":"10.5962\/bhl.title.69932"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"S233","DOI":"10.1016\/S0269-7491(01)00255-X","article-title":"Forest inventory and analysis: A national inventory and monitoring program","volume":"116","author":"Smith","year":"2002","journal-title":"Environ. Pollut"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"387","DOI":"10.14214\/sf.244","article-title":"A global forest growing stock, biomass and carbon map based on FAO statistics","volume":"42","author":"Kindermann","year":"2008","journal-title":"Silva Fenn"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1658","DOI":"10.1016\/j.rse.2007.08.021","article-title":"Mapping US forest biomass using nationwide forest inventory data and moderate resolution information","volume":"112","author":"Blackard","year":"2008","journal-title":"Remote Sens. Environ"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Bolin, B., Degens, E., Kempe, S., and Ketner, P. (1979). The Global Carbon Cycle, John Wiley and Sons.","DOI":"10.1016\/B978-0-08-023252-2.50011-7"},{"key":"ref_8","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_9","unstructured":"Freeman, A., Rosen, P., Jordan, R., Johnson, W., Hensley, S., Sweestser, T., Loverro, A., Smith, J., Sprague, G., and Shen, Y (2009, January 26\u201330). DESDynI\u2014A NASA Mission for Eceosystems, Solid Earth and Cryosphere Science. Frascati, Italy."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2850","DOI":"10.1016\/j.rse.2011.03.020","article-title":"The BIOMASS mission: Mapping global forest biomass to better understand the terrestrial carbon cycle","volume":"115","author":"Toan","year":"2011","journal-title":"Remote Sens. Environ"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"3307","DOI":"10.1109\/TGRS.2007.901027","article-title":"ALOS PALSAR: A pathfinder mission for global-scale monitoring of the environment","volume":"45","author":"Rosenqvist","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0378-1127(97)00019-4","article-title":"Biomass equations for sixty-five North American tree species","volume":"97","author":"Korzukin","year":"1997","journal-title":"For. Ecol. Manag"},{"key":"ref_13","first-page":"12","article-title":"National-scale biomass estimators for United States tree species","volume":"49","author":"Jenkins","year":"2003","journal-title":"For. Sci"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1996","DOI":"10.1139\/x05-112","article-title":"Canadian National tree aboveground biomass equations","volume":"35","author":"Lambert","year":"2005","journal-title":"Can. J. For. Res"},{"key":"ref_15","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":"Phil. Trans. R. Soc. Lond. B"},{"key":"ref_16","unstructured":"Mandelbrot, B.B. (1977). The Fractal Geometry of Nature, W.H.Freeman."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1608","DOI":"10.1139\/x95-175","article-title":"Inverse relationship of crown fractal dimension to self-thinning exponent of tree populations: A hypothesis","volume":"25","author":"Osawa","year":"1995","journal-title":"Can. J. For. Res"},{"key":"ref_18","first-page":"1253","article-title":"A Method for Estimation of Fractal Dimension of Tree Crowns","volume":"37","author":"Zeide","year":"1991","journal-title":"For. Sci"},{"key":"ref_19","unstructured":"Niklas, K.J. (1994). Plant Allometry: The Scaling of Form and Process, University of Chicago Press."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1126\/science.276.5309.122","article-title":"A general model for the origin of allometric scaling laws in biology","volume":"276","author":"West","year":"1997","journal-title":"Science"},{"key":"ref_21","unstructured":"Avery, T.E., and Burkhart, H.E. (2002). Forest Measurements, McGraw Hill. [5th ed.]."},{"key":"ref_22","unstructured":"Young, H.E., Ribe, J.H., and Wainwright, K (1980). Weight Tables for Tree and Shrub Species in Maine, Life Sciences and Agriculture Experiment Station-University of Maine. Miscellaneous Report;."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"865","DOI":"10.1139\/x00-202","article-title":"Additivity of nonlinear biomass equations","volume":"31","author":"Parresol","year":"2001","journal-title":"Can. J. For. Res"},{"key":"ref_24","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_25","doi-asserted-by":"crossref","unstructured":"Crow, T., and Erdmann, G (1983). Weight and Volume Equations and Tables for Red Maple in the Lake States, North Central Forest Experiment Station, USDA-Forest Service. Research Paper; NC-242;.","DOI":"10.2737\/NC-RP-242"},{"key":"ref_26","unstructured":"Ker, M (1980). Tree Biomass Equations for Seven Species in Southwestern New Brunswick, Canadian Forest Service Maritime Forest Research Center. Report M-X-114;."},{"key":"ref_27","unstructured":"Ker, M (1980). Biomass Equations for Ten Major Species in Cumberland County, Nova Scotia, Canadian Forest Service Maritime Forest Research Center. Report M-X-148;."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"837","DOI":"10.1139\/x81-122","article-title":"Generalized biomass estimation equations for Betula Papyrifera Marsh","volume":"11","author":"Schmitt","year":"1981","journal-title":"Can. J. For. Res"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"233","DOI":"10.2307\/1942313","article-title":"The hubbard brook ecosystem study: Forest biomass and production","volume":"44","author":"Whittaker","year":"1974","journal-title":"Ecol. Monogr"},{"key":"ref_30","unstructured":"Brenneman, B., Fredrick, D., Gardner, W., Schoenhofen, L., and Marsh, P (1978, January 16). Biomass of Species and Stands of West Virginia Hardwoods. Purdue University, West Lafayette, IN, USA."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Wiant, H., Sheetz, C., Colaninno, A., DeMoss, J., and Castadena, F (1977). Tables and Procedures for Estimating Weights of Some Appalachian Hardwoods, Agric. and Forestry Exp. Station. West Virginia Agriculture Experiment Station Bulletin 659-T;.","DOI":"10.33915\/agnic.659"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Perala, D., and Alban, D (1994). Allometric Biomass Estimators for Aspen-Dominated Ecosystems in the Upper Great Lakes, US Forest Service. Research Paper; NC-314;.","DOI":"10.2737\/NC-RP-314"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Tritton, M., and Hornbeck, J (1982). Biomass Equations for Majore Trees Species in the Northeast, Northeastern Experiment Station, US Forest Service. Research Paper; NE-619;.","DOI":"10.2737\/NE-GTR-69"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Jenkins, J., Chojnacky, D., Heath, L., and Birdsey, R (2004). Comprehensive Database of Diameter-Based Biomass Regressions for North American Tree Species, Northeastern Experiment Station, US Forest Service. Research Paper; NE-319;.","DOI":"10.2737\/NE-GTR-319"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/0378-1127(84)90003-3","article-title":"Biomass prediction using generalized allometric regression for some northeast tree species","volume":"7","author":"Pastor","year":"1984","journal-title":"For. Ecol. Manag"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1093\/njaf\/5.1.15","article-title":"A guide to using regression equations for estimating tree biomass","volume":"5","author":"Crow","year":"1988","journal-title":"North. J. Appl. For"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Buonaccorsi, J.P. (2010). Measurement Error, Models, Methods and Applications, Chapman and Hall\/CRC.","DOI":"10.1201\/9781420066586"},{"key":"ref_38","first-page":"1","article-title":"Species distribution and soils in the Harvard Forest","volume":"24","author":"Stout","year":"1952","journal-title":"Harv. For. Bull"},{"key":"ref_39","first-page":"1","article-title":"The management of the Harvard Forest","volume":"1","author":"Fisher","year":"1921","journal-title":"Harv. For. Bull"},{"key":"ref_40","first-page":"525","article-title":"An assessment of some nonsampling errors in a national survey using an error budget","volume":"38","author":"Gertner","year":"1992","journal-title":"For. Sci"},{"key":"ref_41","unstructured":"Anthes, R (2007). Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond, National Research Council Committee on Earth Science and Applications from Space, National Academic Press."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.rse.2012.11.015","article-title":"A study of forest biomass estimates from lidar in the northern temperate forests of New England","volume":"130","author":"Ahmed","year":"2013","journal-title":"Remote Sens. Environ"},{"key":"ref_43","unstructured":"Hocker, H., and Early, D. (1983). Biomass and Leaf Area Equations for Northern Forest Species, University of New Hampshire. Research Report;."},{"key":"ref_44","unstructured":"Freedman, B., Duinker, P., Barclay, H., Morash, R., and Prager, U. (1982). Forest Biomass and Nutrient Studies in Central Nova Scotia, Maritimes Forest Research Centre. Information Report; M-X-134;."},{"key":"ref_45","unstructured":"Honer, T. (1971). Weight Relationships in Open-and Forest-Grown Balsam Fir Trees, University of Maine. Misc. Publication-IUFRO Section 25;."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1139\/x86-075","article-title":"Biomass estimation equations for norway spruce in New York","volume":"16","author":"Jokela","year":"1986","journal-title":"Can. J. For. Res"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1139\/x81-018","article-title":"Biomass and production of an aspen\u2013mixed hardwood\u2013spodosol ecosystem in Northern Wisconsin","volume":"11","author":"Pastor","year":"1981","journal-title":"Can. J. For. 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