{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T00:20:08Z","timestamp":1772842808183,"version":"3.50.1"},"reference-count":54,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2016,4,19]],"date-time":"2016-04-19T00:00:00Z","timestamp":1461024000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["603567"],"award-info":[{"award-number":["603567"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Assessing forest stand conditions in urban and peri-urban areas is essential to support ecosystem service planning and management, as most of the ecosystem services provided are a consequence of forest stand characteristics. However, collecting data for assessing forest stand conditions is time consuming and labor intensive. A plausible approach for addressing this issue is to establish a relationship between in situ measurements of stand characteristics and data from airborne laser scanning (LiDAR). In this study we assessed forest stand volume and above-ground biomass (AGB) in a broadleaved urban forest, using a combination of LiDAR-derived metrics, which takes the form of a forest allometric model. We tested various methods for extracting proxies of basal area (BA) and mean stand height (H) from the LiDAR point-cloud distribution and evaluated the performance of different models in estimating forest stand volume and AGB. The best predictors for both models were the scale parameters of the Weibull distribution of all returns (except the first) (proxy of BA) and the 95th percentile of the distribution of all first returns (proxy of H). The R2 were 0.81 (p &lt; 0.01) for the stand volume model and 0.77 (p &lt; 0.01) for the AGB model with a RMSE of 23.66 m3\u00b7ha\u22121 (23.3%) and 19.59 Mg\u00b7ha\u22121 (23.9%), respectively. We found that a combination of two LiDAR-derived variables (i.e., proxy of BA and proxy of H), which take the form of a forest allometric model, can be used to estimate stand volume and above-ground biomass in broadleaved urban forest areas. Our results can be compared to other studies conducted using LiDAR in broadleaved forests with similar methods.<\/jats:p>","DOI":"10.3390\/rs8040339","type":"journal-article","created":{"date-parts":[[2016,4,19]],"date-time":"2016-04-19T10:41:58Z","timestamp":1461062518000},"page":"339","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":72,"title":["Estimating Stand Volume and Above-Ground Biomass of Urban Forests Using LiDAR"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9907-3730","authenticated-orcid":false,"given":"Vincenzo","family":"Giannico","sequence":"first","affiliation":[{"name":"Department of Scienze Agro-Ambientali e Territoriali, University of Bari Aldo Moro, Via Amendola 165\/A 70126 Bari, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4642-8435","authenticated-orcid":false,"given":"Raffaele","family":"Lafortezza","sequence":"additional","affiliation":[{"name":"Department of Scienze Agro-Ambientali e Territoriali, University of Bari Aldo Moro, Via Amendola 165\/A 70126 Bari, Italy"},{"name":"Center for Global Change and Earth Observations (CGCEO), Michigan State University, East Lansing, MI 48823, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0150-8450","authenticated-orcid":false,"given":"Ranjeet","family":"John","sequence":"additional","affiliation":[{"name":"Center for Global Change and Earth Observations (CGCEO), Michigan State University, East Lansing, MI 48823, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giovanni","family":"Sanesi","sequence":"additional","affiliation":[{"name":"Department of Scienze Agro-Ambientali e Territoriali, University of Bari Aldo Moro, Via Amendola 165\/A 70126 Bari, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lucia","family":"Pesola","sequence":"additional","affiliation":[{"name":"Department of Scienze Agro-Ambientali e Territoriali, University of Bari Aldo Moro, Via Amendola 165\/A 70126 Bari, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0761-9458","authenticated-orcid":false,"given":"Jiquan","family":"Chen","sequence":"additional","affiliation":[{"name":"Center for Global Change and Earth Observations (CGCEO), Michigan State University, East Lansing, MI 48823, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2016,4,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/j.jenvman.2007.01.063","article-title":"Visual preference and ecological assessments for designed alternative brownfield rehabilitations","volume":"89","author":"Lafortezza","year":"2008","journal-title":"J. Environ. Manag."},{"key":"ref_2","first-page":"391","article-title":"Assessing urban forest structure: Summary and conclusions","volume":"34","author":"Nowak","year":"2008","journal-title":"Aboricult. Urban For."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1016\/j.foreco.2013.11.027","article-title":"Positive effects of afforestation efforts on the health of urban soils","volume":"313","author":"Oldfield","year":"2014","journal-title":"For. Ecol. Manag."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/S0378-1127(02)00304-3","article-title":"Change in soil organic carbon following afforestation of former arable land","volume":"169","author":"Vesterdal","year":"2002","journal-title":"For. Ecol. Manag."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.envres.2015.10.025","article-title":"Modeling the influence of alternative forest management scenarios on wood production and carbon storage: A case study in the Mediterranean region","volume":"144","author":"Bottalico","year":"2016","journal-title":"Environ. Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.ufug.2006.01.007","article-title":"Air pollution removal by urban trees and shrubs in the United States","volume":"4","author":"Nowak","year":"2006","journal-title":"Urban For. Urban Green."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1016\/j.enbuild.2004.01.044","article-title":"Thermal comfort in urban spaces: Impact of vegetation growth: Case study: Piazza della Scienza, Milan, Italy","volume":"36","author":"Picot","year":"2004","journal-title":"Energy Build."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.enbuild.2005.04.003","article-title":"Thermal benefits of city parks","volume":"38","author":"Yu","year":"2006","journal-title":"Energy Build."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"80","DOI":"10.48044\/jauf.2009.015","article-title":"Avian ecological diversity as an indicator of urban forest functionality. Results from two case studies in northern and southern Italy","volume":"35","author":"Sanesi","year":"2009","journal-title":"Arboric. Urban For."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1016\/j.ufug.2013.01.006","article-title":"Structural diversity and height growth models in urban forest plantations: A case-study in northern Italy","volume":"12","author":"Marziliano","year":"2013","journal-title":"Urban For. Urban Green."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1007\/s11252-013-0337-9","article-title":"Applied urban ecology for sustainable urban environment","volume":"16","author":"Breuste","year":"2013","journal-title":"Urban Ecosyst."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.landurbplan.2005.01.004","article-title":"Ecological diversity of birds in relation to the structure of urban green space","volume":"77","author":"Angelstam","year":"2006","journal-title":"Landsc. Urban Plan."},{"key":"ref_13","first-page":"1367","article-title":"Predicting forest stand characteristics with airborne scanning LiDAR","volume":"66","author":"Means","year":"2000","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/S0034-4257(01)00243-7","article-title":"Estimating tree height and tree crown properties using airborne scanning laser in a boreal nature reserve","volume":"79","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"767","DOI":"10.1016\/j.rse.2007.06.011","article-title":"A voxel-based LiDAR method for estimating crown base height for deciduous and pine trees","volume":"112","author":"Popescu","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Corona, P. (2012). Airborne Laser Scanning to support forest resource management under alpine, temperate and Mediterranean environments in Italy. Eur. J. Remote Sens., 27\u201337.","DOI":"10.5721\/EuJRS20124503"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1016\/S0034-4257(99)00052-8","article-title":"LiDAR remote sensing of the canopy structure and biophysical properties of Douglas-Fir Western Hemlock Forests","volume":"70","author":"Lefsky","year":"1999","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1007\/s10021-004-0136-5","article-title":"Three-dimensional structure of an old-growth pseudotsuga-tsuga canopy and its implications for radiation balance, microclimate, and gas exchange","volume":"7","author":"Parker","year":"2004","journal-title":"Ecosystems"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1109\/JSTARS.2012.2184270","article-title":"Forest canopy cover and height from MISR in topographically complex southwestern US landscapes assessed with high quality reference data","volume":"5","author":"Chopping","year":"2012","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"562","DOI":"10.1016\/j.ufug.2014.03.005","article-title":"Mapping of urban roadside trees\u2014A case study in the tree register update process in Helsinki City","volume":"13","author":"Vastaranta","year":"2014","journal-title":"Urban For. Urban Green."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1111\/j.1365-2664.2009.01677.x","article-title":"Assessing biodiversity by remote sensing in mountainous terrain: The potential of LiDAR to predict forest beetle assemblages","volume":"46","author":"Brandl","year":"2009","journal-title":"J. Appl. Ecol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"840","DOI":"10.1111\/j.1523-1739.2012.01869.x","article-title":"Use of an Airborne LiDAR system to model plant species composition and diversity of mediterranean oak forests","volume":"26","author":"Simonson","year":"2012","journal-title":"Conserv. Biol."},{"key":"ref_23","first-page":"465","article-title":"LiDAR as a rapid tool to predict forest habitat types in Natura 2000 networks","volume":"20","author":"Stadler","year":"2010","journal-title":"Biodivers. Conserv."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.rse.2014.03.018","article-title":"Urban tree species mapping using hyperspectral and LiDAR data fusion","volume":"148","author":"Alonzo","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1007\/s10666-007-9115-5","article-title":"Three-dimensional modeling of an urban park and trees by combined airborne and portable on-ground scanning LiDAR remote sensing","volume":"13","author":"Omasa","year":"2007","journal-title":"Environ. Model. Assess."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"484","DOI":"10.3390\/rs4020484","article-title":"Estimating biophysical parameters of individual trees in an urban environment using small footprint discrete-return imaging LiDAR","volume":"4","author":"Shrestha","year":"2012","journal-title":"Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1007\/s11707-012-0339-6","article-title":"Toward automatic estimation of urban green volume using airborne LiDAR data and high resolution remote sensing images","volume":"7","author":"Huang","year":"2012","journal-title":"Front. Earth Sci."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1007\/s11355-007-0031-2","article-title":"Assessing the current status of urban forest resources in the context of Parco Nord, Milan, Italy","volume":"3","author":"Sanesi","year":"2007","journal-title":"Landsc. Ecol. Eng."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"911","DOI":"10.1007\/s10342-011-0481-9","article-title":"Aboveground tree volume and phytomass prediction equations for forest species in Italy","volume":"130","author":"Tabacchi","year":"2011","journal-title":"Eur. J. For. Res."},{"key":"ref_30","unstructured":"Team, R.C. (2014). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/S0924-2716(97)83000-6","article-title":"Determination of mean tree height of forest stands using airborne laser scanner data","volume":"52","year":"1997","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_32","first-page":"97","article-title":"Quantifying Diameter Distributions with the Weibull Function","volume":"19","author":"Bailey","year":"1973","journal-title":"For. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1080\/02827589509382895","article-title":"Comparison of beta and weibull functions for modelling basal area diameter distribution in stands of pinus sylvestris and picea abies","volume":"10","author":"Maltamo","year":"1995","journal-title":"Scand. J. For. Res."},{"key":"ref_34","first-page":"113","article-title":"Modelling diameter distributions of Betula alba L. stands in Northwest Spain with the two-parameter Weibull function","volume":"16","author":"Gorgoso","year":"2007","journal-title":"Investig. Agrar. Sist. Recur. For. Esp."},{"key":"ref_35","unstructured":"Vanclay, J.K. (1994). Modelling Forest Growth and Yield: Applications to Mixed Tropical Forests, CAB International."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Venables, W.N., and Ripley, B.D. (2002). Modern Applied Statistics with S, Springer. Statistics and Computing.","DOI":"10.1007\/978-0-387-21706-2"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/S0034-4257(01)00290-5","article-title":"Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data","volume":"80","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1559","DOI":"10.3390\/s7081559","article-title":"Airborne laser scanning of forest stem volume in a mountainous environment","volume":"7","author":"Hollaus","year":"2007","journal-title":"Sensors"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"464","DOI":"10.2307\/1909517","article-title":"The Interpretation and Estimation of Cobb-Douglas Functions","volume":"36","author":"Goldberger","year":"1968","journal-title":"Econometrica"},{"key":"ref_40","unstructured":"Maindonald, J.H., and Braun, W.J. DAAG: Data Analysis and Graphics Data and Functions. Available online: https:\/\/cran.r-project.org\/web\/packages\/DAAG\/index.html."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1589","DOI":"10.1175\/1520-0450(1987)026<1589:CVISCF>2.0.CO;2","article-title":"Cross-validation in statistical climate forecast models","volume":"26","author":"Michaelsen","year":"1987","journal-title":"J. Clim. Appl. Meteorol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/j.rse.2004.10.013","article-title":"Estimating forest canopy fuel parameters using LiDAR data","volume":"94","author":"Andersen","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_43","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":"117","author":"Nelson","year":"1999","journal-title":"For. Ecol. Manag."},{"key":"ref_44","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_45","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.agee.2012.05.011","article-title":"Allometric equations for estimating biomass in agricultural landscapes: I. Aboveground biomass","volume":"158","author":"Kuyah","year":"2012","journal-title":"Agric. Ecosyst. Environ."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/S0034-4257(98)00071-6","article-title":"Surface LiDAR remote sensing of basal area and biomass in deciduous forests of eastern Maryland, USA","volume":"67","author":"Lefsky","year":"1999","journal-title":"Remote Sens. Environ."},{"key":"ref_47","first-page":"551","article-title":"Fusion of small-footprint LiDAR and multispectral data to estimate plot-level volume and biomass in deciduous and pine forests in Virginia, USA","volume":"50","author":"Popescu","year":"2004","journal-title":"For. Sci."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1007\/s11355-009-0077-4","article-title":"Estimating stand volume in broad-leaved forest using discrete-return LiDAR: Plot-based approach","volume":"6","author":"Ioki","year":"2009","journal-title":"Landsc. Ecol. Eng."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1007\/s00468-006-0119-6","article-title":"(Tony) Estimating canopy structure of Douglas-fir forest stands from discrete-return LiDAR","volume":"21","author":"Coops","year":"2007","journal-title":"Trees"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1648","DOI":"10.1016\/j.foreco.2011.07.018","article-title":"Estimating carbon stock in secondary forests: Decisions and uncertainties associated with allometric biomass models","volume":"262","author":"Ransijn","year":"2011","journal-title":"For. Ecol. Manag."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1111\/2041-210X.12301","article-title":"Nondestructive estimates of above-ground biomass using terrestrial laser scanning","volume":"6","author":"Calders","year":"2015","journal-title":"Methods Ecol. Evol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1080\/02827580310019257","article-title":"Practical large-scale forest stand inventory using a small-footprint airborne scanning laser","volume":"19","year":"2004","journal-title":"Scand. J. For. Res."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"646","DOI":"10.1016\/j.biombioe.2007.06.022","article-title":"Estimating biomass of individual pine trees using airborne LiDAR","volume":"31","author":"Popescu","year":"2007","journal-title":"Biomass Bioenergy"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1016\/j.envres.2016.02.018","article-title":"The provision of ecosystem services in response to global change: Evidences and applications","volume":"147","author":"Lafortezza","year":"2016","journal-title":"Environ. Res."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/4\/339\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:22:29Z","timestamp":1760210549000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/4\/339"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,4,19]]},"references-count":54,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2016,4]]}},"alternative-id":["rs8040339"],"URL":"https:\/\/doi.org\/10.3390\/rs8040339","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,4,19]]}}}