02337naa a2200277 a 450000100080000000500110000800800410001902200310006002400540009110000160014524501930016126000090035450006490036352007230101265300190173565300270175465300180178165300190179965300280181870000180184670000160186470000220188070000180190270000250192077301140194510652352025-06-13       2025    bl uuuu     u00u1 u    #d  a0378-1127;eISSN: 1872-70427 ahttps://doi.org/10.1016/j.foreco.2025.1227592DOI1 aBAIETTO, A.  aModeling forest structural variables of Eucalyptus dunnii Maiden stands under short-rotation management using SAR, multispectral, soil-derived, and field-based data.h[electronic resource]  c2025  aArticle history: Received 3 March 2025, Revised 21 April 2025, Accepted 22 April 2025, Available online 9 May 2025, Version of Record 9 May 2025. -- Corresponding author at: Forest Department, Faculty of Agronomy, University of the Republic, Montevideo 12900, Uruguay. E-mail address: abaietto@fagro.edu.uy (A. Baietto). -- Funding: This study was funded by the Agencia Nacional de Investigaci´on e Innovaci´on (ANII) and Forestal Oriental S.A. [POS_EXT_2023_1_174913] [FIICC_X_2022_1_173484]. -- Supporting information: Supplementary data associated with this article can be found in the online version at doi:10.1016/j.foreco.2025.122759 --  aABSTRACT.- The replacement of native grasslands with commercial Eucalyptus plantations has increased in South America. These plantations are typically managed under short rotation regimes for pulp production. Since afforestation can enhance carbon sequestration, the accurate estimation of structural variables at large scales is valuable for sustainable forest management. This study integrates synthetic aperture radar (SAR, Sentinel-1), multispectral (Sentinel-2), soil-derived (International Soil Reference and Information Centre), and field-based data to model structural variables in Eucalyptus dunnii plantations on forest-priority soils (Aquic Argiudolls and Typic Albaqualfs) in Uruguay. © 2025 Elsevier B.V.  aClimate change  aIntensive silviculture  aRandom forest  aRemote sensing  aSISTEMA FORESTAL - INIA1 aHIRIGOYEN, A.1 aMAÑANA, M.1 aRIZZO-MARTÍN, I.1 aGONZÁLEZ, A.1 aNAVARRO CERRILLO, R.  tForest Ecology and Management, 15 July 2025, Volume 588, 122759. https://doi.org/10.1016/j.foreco.2025.122759