{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T03:50:38Z","timestamp":1776743438781,"version":"3.51.2"},"reference-count":75,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"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>Light Detection and Ranging (LiDAR) remote sensing has been established as one of the most promising tools for large-scale forest monitoring and mapping. Continuous advances in computational techniques, such as machine learning algorithms, have been increasingly improving our capability to model forest attributes accurately and at high spatial and temporal resolution. While there have been previous studies exploring the use of LiDAR and machine learning algorithms for forest inventory modeling, as yet, no studies have demonstrated the combined impact of sample size and different modeling techniques for predicting and mapping stem total volume in industrial Eucalyptus spp. tree plantations. This study aimed to compare the combined effects of parametric and nonparametric modeling methods for estimating volume in Eucalyptus spp. tree plantation using airborne LiDAR data while varying the reference data (sample size). The modeling techniques were compared in terms of root mean square error (RMSE), bias, and R2 with 500 simulations. The best performance was verified for the ordinary least-squares (OLS) method, which was able to provide comparable results to the traditional forest inventory approaches using only 40% (n = 63; ~0.04 plots\/ha) of the total field plots, followed by the random forest (RF) algorithm with identical sample size values. This study provides solutions for increasing the industry efficiency in monitoring and managing forest plantation stem volume for the paper and pulp supply chain.<\/jats:p>","DOI":"10.3390\/rs12091438","type":"journal-article","created":{"date-parts":[[2020,5,4]],"date-time":"2020-05-04T14:00:43Z","timestamp":1588600843000},"page":"1438","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data"],"prefix":"10.3390","volume":"12","author":[{"given":"Vanessa Sousa da","family":"Silva","sequence":"first","affiliation":[{"name":"Department of Forest Sciences, Federal Rural University of Pernambuco, Rua Dom Manoel de Medeiros, s\/n, Dois Irm\u00e3os,  Recife, PE 52171-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7844-3560","authenticated-orcid":false,"given":"Carlos Alberto","family":"Silva","sequence":"additional","affiliation":[{"name":"Department of Geographical Sciences, University of Maryland, College Park, Maryland, MD 20740, USA"},{"name":"School of Forest Resources and Conservation, University of Florida, Gainesville, FL 32611, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Midhun","family":"Mohan","sequence":"additional","affiliation":[{"name":"Department of Geography, University of California\u2014Berkeley, Berkeley, CA 94709, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0185-3959","authenticated-orcid":false,"given":"Adri\u00e1n","family":"Cardil","sequence":"additional","affiliation":[{"name":"Tecnosylva, Parque Tecnol\u00f3gico de Le\u00f3n, 24009 Le\u00f3n, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Franciel Eduardo","family":"Rex","sequence":"additional","affiliation":[{"name":"Department of Forest Engineering, Federal University of Paran\u00e1\u2014UFPR,  Curitiba, PR 80210-170, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gabrielle Hambrecht","family":"Loureiro","sequence":"additional","affiliation":[{"name":"Suzano Papel e Celulose S\/A, Av. L\u00edrio Correa, 1465\u2014Carobinha,  Limeira, SP 13473-762, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8747-0085","authenticated-orcid":false,"given":"Danilo Roberti Alves de","family":"Almeida","sequence":"additional","affiliation":[{"name":"Department of Forest Sciences, University of S\u00e3o Paulo, \u201cLuiz de Queiroz\u201d College of Agriculture (USP\/ESALQ),  Piracicaba, SP 13418-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eben North","family":"Broadbent","sequence":"additional","affiliation":[{"name":"Spatial Ecology and Conservation Lab, School of Forest Resources and Conservation, University of Florida, Gainesville, FL 32611, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2517-0279","authenticated-orcid":false,"given":"Eric Bastos","family":"Gorgens","sequence":"additional","affiliation":[{"name":"Department of Forest Engineering, Federal University of Jequitinhonha and Mucuri Valleys\u2014UFVJM,  Diamantina, MG 39100-000, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ana Paula","family":"Dalla Corte","sequence":"additional","affiliation":[{"name":"Department of Forest Engineering, Federal University of Paran\u00e1\u2014UFPR,  Curitiba, PR 80210-170, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0711-5954","authenticated-orcid":false,"given":"Emanuel Ara\u00fajo","family":"Silva","sequence":"additional","affiliation":[{"name":"Department of Forest Sciences, Federal Rural University of Pernambuco, Rua Dom Manoel de Medeiros, s\/n, Dois Irm\u00e3os,  Recife, PE 52171-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0493-7581","authenticated-orcid":false,"given":"Rub\u00e9n","family":"Valbuena","sequence":"additional","affiliation":[{"name":"School of Natural Sciences, Bangor University, Thoday building, Bangor LL57 2UW, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carine","family":"Klauberg","sequence":"additional","affiliation":[{"name":"Jo\u00e3o Del Rei\u2014UFSJ,  Sete Lagoas, MG 35701-970, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,5,1]]},"reference":[{"key":"ref_1","unstructured":"FAO (Food and Agriculture Organization of the United Nations) (2015). 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