{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T18:41:17Z","timestamp":1764873677305,"version":"build-2065373602"},"reference-count":80,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2019,11,26]],"date-time":"2019-11-26T00:00:00Z","timestamp":1574726400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["UID\/AGR\/00239\/2019","PD\/BD\/128489\/2017","PTDC\/AGR-CFL\/72380\/2006"],"award-info":[{"award-number":["UID\/AGR\/00239\/2019","PD\/BD\/128489\/2017","PTDC\/AGR-CFL\/72380\/2006"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The analysis of the diameter distribution is important for forest management since the knowledge of tree density and growing stock by diameter classes is essential to define management plans and to support operational decisions. The modeling of diameter distributions from airborne laser scanning (ALS) data has been performed through the two-parameter Weibull probability density function (PDF), but the more flexible PDF Johnson\u2019s SB has never been tested for this purpose until now. This study evaluated the performance of the Johnson\u2019s SB to predict the diameter distributions based on ALS data from two of the most common forest plantations in the northwest of the Iberian Peninsula (Eucalyptus globulus Labill. and Pinus radiata D. Don). The Weibull PDF was taken as a benchmark for the diameter distributions prediction and both PDFs were fitted with ALS data. The results show that the SB presented a comparable performance to the Weibull for both forest types. The SB presented a slightly better performance for the E. globulus, while the Weibull PDF had a small advantage when applied to the P. radiata data. The Johnson\u2019s SB PDF is more flexible but also more sensitive to possible errors arising from the higher number of stand variables needed for the estimation of the PDF parameters.<\/jats:p>","DOI":"10.3390\/rs11232792","type":"journal-article","created":{"date-parts":[[2019,11,26]],"date-time":"2019-11-26T10:57:27Z","timestamp":1574765847000},"page":"2792","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Comparing Johnson\u2019s SB and Weibull Functions to Model the Diameter Distribution of Forest Plantations through ALS Data"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8495-8002","authenticated-orcid":false,"given":"Diogo Nepomuceno","family":"Cosenza","sequence":"first","affiliation":[{"name":"Centro de Estudos Florestais, Instituto Superior de Agronomia (ISA), Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7603-5467","authenticated-orcid":false,"given":"Paula","family":"Soares","sequence":"additional","affiliation":[{"name":"Centro de Estudos Florestais, Instituto Superior de Agronomia (ISA), Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3518-2978","authenticated-orcid":false,"given":"Juan","family":"Guerra-Hern\u00e1ndez","sequence":"additional","affiliation":[{"name":"Centro de Estudos Florestais, Instituto Superior de Agronomia (ISA), Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal"},{"name":"3edata, Centro de iniciativas empresariais, Fundaci\u00f3n CEL, O Palomar s\/n, 27004 Lugo, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7611-7630","authenticated-orcid":false,"given":"Lu\u00edsa","family":"Pereira","sequence":"additional","affiliation":[{"name":"Escola Superior de Tecnologia e Gest\u00e3o de \u00c1gueda (ESTGA), Universidade de Aveiro, Apartado 473, 3754-909 \u00c1gueda, Portugal"},{"name":"Centro de Investiga\u00e7\u00e3o em Ci\u00eancias Geoespaciais (CICGE), Universidade do Porto, 4099-002 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4565-2155","authenticated-orcid":false,"given":"Eduardo","family":"Gonz\u00e1lez-Ferreiro","sequence":"additional","affiliation":[{"name":"Escuela Superior y T\u00e9cnica de Ingenieros de Minas, Universidad de Le\u00f3n, Avda. Astorga s\/n, 24401 Ponferrada, Spain"},{"name":"Escuela de Ingenier\u00eda Agraria y Forestal, Universidad de Le\u00f3n, Avda. Astorga s\/n, 24401 Ponferrada, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1656-5255","authenticated-orcid":false,"given":"Fernando","family":"Castedo-Dorado","sequence":"additional","affiliation":[{"name":"Escuela de Ingenier\u00eda Agraria y Forestal, Universidad de Le\u00f3n, Avda. Astorga s\/n, 24401 Ponferrada, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6242-8593","authenticated-orcid":false,"given":"Margarida","family":"Tom\u00e9","sequence":"additional","affiliation":[{"name":"Centro de Estudos Florestais, Instituto Superior de Agronomia (ISA), Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2019,11,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.rse.2012.02.001","article-title":"Lidar sampling for large-area forest characterization: A review","volume":"121","author":"Wulder","year":"2012","journal-title":"Remote. Sens. Environ."},{"key":"ref_2","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. 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